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Sample records for fuzzy integrated methodology

  1. Design New Robust Self Tuning Fuzzy Backstopping Methodology

    OpenAIRE

    Omid Avatefipour; Farzin Piltan; Mahmoud Reza Safaei Nasrabad; Ghasem Sahamijoo; Alireza Khalilian

    2014-01-01

    This research is focused on proposed Proportional-Integral (PI) like fuzzy adaptive backstopping fuzzy algorithms based on Proportional-Derivative (PD) fuzzy rule base with the adaptation laws derived in the Lyapunov sense. Adaptive SISO PI like fuzzy adaptive backstopping fuzzy method has two main objectives; the first objective is design a SISO fuzzy system to compensate for the model uncertainties of the system, and the second objective is focused on the design PI like fuzzy controller bas...

  2. A robust data fusion scheme for integrated navigation systems employing fault detection methodology augmented with fuzzy adaptive filtering

    Science.gov (United States)

    Ushaq, Muhammad; Fang, Jiancheng

    2013-10-01

    Integrated navigation systems for various applications, generally employs the centralized Kalman filter (CKF) wherein all measured sensor data are communicated to a single central Kalman filter. The advantage of CKF is that there is a minimal loss of information and high precision under benign conditions. But CKF may suffer computational overloading, and poor fault tolerance. The alternative is the federated Kalman filter (FKF) wherein the local estimates can deliver optimal or suboptimal state estimate as per certain information fusion criterion. FKF has enhanced throughput and multiple level fault detection capability. The Standard CKF or FKF require that the system noise and the measurement noise are zero-mean and Gaussian. Moreover it is assumed that covariance of system and measurement noises remain constant. But if the theoretical and actual statistical features employed in Kalman filter are not compatible, the Kalman filter does not render satisfactory solutions and divergence problems also occur. To resolve such problems, in this paper, an adaptive Kalman filter scheme strengthened with fuzzy inference system (FIS) is employed to adapt the statistical features of contributing sensors, online, in the light of real system dynamics and varying measurement noises. The excessive faults are detected and isolated by employing Chi Square test method. As a case study, the presented scheme has been implemented on Strapdown Inertial Navigation System (SINS) integrated with the Celestial Navigation System (CNS), GPS and Doppler radar using FKF. Collectively the overall system can be termed as SINS/CNS/GPS/Doppler integrated navigation system. The simulation results have validated the effectiveness of the presented scheme with significantly enhanced precision, reliability and fault tolerance. Effectiveness of the scheme has been tested against simulated abnormal errors/noises during different time segments of flight. It is believed that the presented scheme can be

  3. Neuro-fuzzy Control of Integrating Processes

    Directory of Open Access Journals (Sweden)

    Anna Vasičkaninová

    2011-11-01

    Full Text Available Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena. The paper deals with tuning of neuro-fuzzy controllers for integrating plant and for integrating plantswith time delay. The designed approach is verified on three examples by simulations and compared plants with classical PID control.Designed fuzzy controllers lead to better closed-loop control responses then classical PID controllers.

  4. On Fuzzy Improper Integral and Its Application for Fuzzy Partial Differential Equations

    OpenAIRE

    ElHassan ElJaoui; Said Melliani

    2016-01-01

    We establish some important results about improper fuzzy Riemann integrals; we prove some properties of fuzzy Laplace transforms, which we apply for solving some fuzzy linear partial differential equations of first order, under generalized Hukuhara differentiability.

  5. On Fuzzy Improper Integral and Its Application for Fuzzy Partial Differential Equations

    Directory of Open Access Journals (Sweden)

    ElHassan ElJaoui

    2016-01-01

    Full Text Available We establish some important results about improper fuzzy Riemann integrals; we prove some properties of fuzzy Laplace transforms, which we apply for solving some fuzzy linear partial differential equations of first order, under generalized Hukuhara differentiability.

  6. Nursing and fuzzy logic: an integrative review.

    Science.gov (United States)

    Jensen, Rodrigo; Lopes, Maria Helena Baena de Moraes

    2011-01-01

    This study conducted an integrative review investigating how fuzzy logic has been used in research with the participation of nurses. The article search was carried out in the CINAHL, EMBASE, SCOPUS, PubMed and Medline databases, with no limitation on time of publication. Articles written in Portuguese, English and Spanish with themes related to nursing and fuzzy logic with the authorship or participation of nurses were included. The final sample included 21 articles from eight countries. For the purpose of analysis, the articles were distributed into categories: theory, method and model. In nursing, fuzzy logic has significantly contributed to the understanding of subjects related to: imprecision or the need of an expert; as a research method; and in the development of models or decision support systems and hard technologies. The use of fuzzy logic in nursing has shown great potential and represents a vast field for research.

  7. Bounded solutions for fuzzy differential and integral equations

    Energy Technology Data Exchange (ETDEWEB)

    Nieto, Juan J. [Departamento de Analisis Matematico Facultad de Matematicas Universidad de Santiago de Compostela, 15782 (Spain)] e-mail: amnieto@usc.es; Rodriguez-Lopez, Rosana [Departamento de Analisis Matematico Facultad de Matematicas Universidad de Santiago de Compostela, 15782 (Spain)] e-mail: amrosana@usc.es

    2006-03-01

    We find sufficient conditions for the boundness of every solution of first-order fuzzy differential equations as well as certain fuzzy integral equations. Our results are based on several theorems concerning crisp differential and integral inequalities.

  8. Adomian Method for Solving Fuzzy Fredholm-Volterra Integral Equations

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    M. Barkhordari Ahmadi

    2013-09-01

    Full Text Available In this paper, Adomian method has been applied to approximate the solution of fuzzy volterra-fredholm integral equation. That, by using parametric form of fuzzy numbers, a fuzzy volterra-fredholm integral equation has been converted to a system of volterra-fredholm integral equation in crisp case. Finally, the method is explained with illustrative examples.

  9. Resource integrated planning through fuzzy techniques

    Energy Technology Data Exchange (ETDEWEB)

    Haddad, J.; Torres, G. Lambert [Escola Federal de Engenharia de Itajuba, MG (Brazil); Jannuzzi, G. de M. [Universidade Estadual de Campinas, SP (Brazil). Faculdade de Engenharia Mecanica

    1994-12-31

    A methodology for decision-making in studies involving energy saving by using the Fuzzy Sets Theory is presented. The Fuzzy Sets Theory permits to handle and to operate exact and non-exact propositions, that is, to incorporate both numerical data (exact) and the knowledge of either the expert or the analyst (inexact). The basic concepts of this theory are presented with its main operations and properties. Following, some criteria and technical-economical parameters used in the planning of the generation expansion are shown and, finally, the Theory of the Fuzzy Sets is applied aiming to establish electrical power generation and conservation strategies considering the power demand. (author) 6 refs., 8 tabs.

  10. An experimental methodology for a fuzzy set preference model

    Science.gov (United States)

    Turksen, I. B.; Willson, Ian A.

    1992-01-01

    A flexible fuzzy set preference model first requires approximate methodologies for implementation. Fuzzy sets must be defined for each individual consumer using computer software, requiring a minimum of time and expertise on the part of the consumer. The amount of information needed in defining sets must also be established. The model itself must adapt fully to the subject's choice of attributes (vague or precise), attribute levels, and importance weights. The resulting individual-level model should be fully adapted to each consumer. The methodologies needed to develop this model will be equally useful in a new generation of intelligent systems which interact with ordinary consumers, controlling electronic devices through fuzzy expert systems or making recommendations based on a variety of inputs. The power of personal computers and their acceptance by consumers has yet to be fully utilized to create interactive knowledge systems that fully adapt their function to the user. Understanding individual consumer preferences is critical to the design of new products and the estimation of demand (market share) for existing products, which in turn is an input to management systems concerned with production and distribution. The question of what to make, for whom to make it and how much to make requires an understanding of the customer's preferences and the trade-offs that exist between alternatives. Conjoint analysis is a widely used methodology which de-composes an overall preference for an object into a combination of preferences for its constituent parts (attributes such as taste and price), which are combined using an appropriate combination function. Preferences are often expressed using linguistic terms which cannot be represented in conjoint models. Current models are also not implemented an individual level, making it difficult to reach meaningful conclusions about the cause of an individual's behavior from an aggregate model. The combination of complex aggregate

  11. Methodological insights: fuzzy sets in medicine.

    Science.gov (United States)

    Vineis, P

    2008-03-01

    In this paper I wish to introduce some ideas about scientific reasoning that have reached the epidemiological community only marginally. They have to do with how we classify things (diseases), and how we formulate hypotheses (causes). According to a simplified and currently untenable model, we come to defining what a disease, or a protone or a chromosome, is by progressive simplification--that is, by extracting an essence from the individual characters of disease. At the end of this inductive process a single element, which guarantees the unequivocal inclusion in the category, is identified. This is what has been called "Merkmal-definition" (Merkmal meaning distinctive sign)--that is, the definition of disease would be allowed by the isolation of a crucial property, a necessary and sufficient condition, which makes that disease unique (and a chair out of a chair, a proton out of a proton, etc). However many objections have been raised by Wittgenstein, Eleanor Rosch and others to this idea: a Merkmal is not always identifiable, and more often a word is used to indicate not a homogeneous and unequivocal set of observations, but a confused constellation with blurred borders. This constellation has been called a fuzzy set and is at the basis of the semantic theory of metaphors proposed by MacCormac and the prototype theory proposed by Rosch. In this way the concept of disease, for example, abandons monothetic definitions, amenable to a necessary and sufficient characteristic, to become "polythetic." I explain how these concepts can help medicine and epidemiology to clarify some open issues in the definition of disease and the identification of causes, through examples taken from oncology, psychiatry, cardiology and infectious diseases. The definition of a malignant tumour, for example, seems to correspond to the concept of "family resemblance," since there is no single criterion that allows us to define unequivocally the concept of cancer: not morphology (there are

  12. A risk assessment methodology using intuitionistic fuzzy set in FMEA

    Science.gov (United States)

    Chang, Kuei-Hu; Cheng, Ching-Hsue

    2010-12-01

    Most current risk assessment methods use the risk priority number (RPN) value to evaluate the risk of failure. However, conventional RPN methodology has been criticised as having five main shortcomings as follows: (1) the assumption that the RPN elements are equally weighted leads to over simplification; (2) the RPN scale itself has some non-intuitive statistical properties; (3) the RPN elements have many duplicate numbers; (4) the RPN is derived from only three factors mainly in terms of safety; and (5) the conventional RPN method has not considered indirect relations between components. To address the above issues, an efficient and comprehensive algorithm to evaluate the risk of failure is needed. This article proposes an innovative approach, which integrates the intuitionistic fuzzy set (IFS) and the decision-making trial and evaluation laboratory (DEMATEL) approach on risk assessment. The proposed approach resolves some of the shortcomings of the conventional RPN method. A case study, which assesses the risk of 0.15 µm DRAM etching process, is used to demonstrate the effectiveness of the proposed approach. Finally, the result of the proposed method is compared with the listing approaches of risk assessment methods.

  13. Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters.

    Science.gov (United States)

    Biradar, Nagashettappa; Dewal, M L; Rohit, Manoj Kumar

    2014-01-01

    Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.

  14. Soft computing integrating evolutionary, neural, and fuzzy systems

    CERN Document Server

    Tettamanzi, Andrea

    2001-01-01

    Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as

  15. Soil suitability evaluation for crop selection using fuzzy sets methodology

    Directory of Open Access Journals (Sweden)

    Amin SHARIFIFAR

    2016-04-01

    Full Text Available In this study appraisal of four different agricultural land evaluation methods including the so-called Storie method, square root method, maximum limitation method and fuzzy sets method, was done. The study was performed in Bastam region, located in Semnan province at the north east of Iran. Three crops including tomato, wheat and potato were assessed for the purpose of this research. Soil characteristics assessed were rooting depth, CaCo3, organic carboncontent, clay content, pH and slope gradient. Statistical analyses were done at significance levels of α = 0.1 and α = 0.05. Results of regression between land indices, calculated through the four methods, with observed yields of the crops, showed that the regression were significant in fuzzy sets method for all of the assessed crops at p = 0.05 but not significant in maximum limitation method for any of the crops. The Storie and square root methods also showed a significant correlation with wheat yield at p = 0.1. This study was a demonstrative test of fuzzy sets theory in land suitability evaluation for agricultural uses, which revealed that this methodology is the most correct method in given circumstances.

  16. A fuzzy QFD methodology to improve logistics service

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    Siamak Noori

    2014-06-01

    Full Text Available Customer service is increasingly being recognized as a source of competitive advantage. The keys to provide effective customer service are determining the customer needs, accurately, and meeting and exceeding the needs in a consistent manner. Companies should adapt a strategic, proactive focus on customer service based on understanding logistic processes and designing the logistics system to meet their needs. This paper proposes an approach based on the quality function deployment (QFD, for ranking strategic actions to improve logistics service. The paper addresses the issue of how to deploy the house of quality (HOQ to effectively and efficiently improve logistics processes and thus customer satisfaction. For data collection, fuzzy logic is used to deal with the ill-defined nature of the qualitative linguistic judgments required in the proposed HOQ. The methodology has been tested by means of a real case application, which refers to an Iranian company operating in the manufacturing industry.

  17. Fuzzy-Rule-Based Object Identification Methodology for NAVI System

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    Rosalyn R. Porle

    2005-08-01

    Full Text Available We present an object identification methodology applied in a navigation assistance for visually impaired (NAVI system. The NAVI has a single board processing system (SBPS, a digital video camera mounted headgear, and a pair of stereo earphones. The captured image from the camera is processed by the SBPS to generate a specially structured stereo sound suitable for vision impaired people in understanding the presence of objects/obstacles in front of them. The image processing stage is designed to identify the objects in the captured image. Edge detection and edge-linking procedures are applied in the processing of image. A concept of object preference is included in the image processing scheme and this concept is realized using a fuzzy-rule base. The blind users are trained with the stereo sound produced by NAVI for achieving a collision-free autonomous navigation.

  18. Robust Stabilization of T-S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes.

    Science.gov (United States)

    Li, Jinghao; Zhang, Qingling; Yan, Xing-Gang; Spurgeon, Sarah K

    2017-09-19

    This paper addresses the robust stabilization problem for T-S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. A classical integral sliding mode control scheme and a nonparallel distributed compensation (Non-PDC) integral sliding mode control scheme are presented. It is shown that two restrictive assumptions previously adopted developing sliding mode controllers for Takagi-Sugeno (T-S) fuzzy stochastic systems are not required with the proposed framework. A unified framework for sliding mode control of T-S fuzzy systems is formulated. The proposed Non-PDC integral sliding mode control scheme encompasses existing schemes when the previously imposed assumptions hold. Stability of the sliding motion is analyzed and the sliding mode controller is parameterized in terms of the solutions of a set of linear matrix inequalities which facilitates design. The methodology is applied to an inverted pendulum model to validate the effectiveness of the results presented.

  19. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Science.gov (United States)

    Nguyen, Huu-Tho; Md Dawal, Siti Zawiah; Nukman, Yusoff; Aoyama, Hideki; Case, Keith

    2015-01-01

    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  20. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Directory of Open Access Journals (Sweden)

    Huu-Tho Nguyen

    Full Text Available Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process and a fuzzy COmplex PRoportional ASsessment (COPRAS for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  1. Nonadditive Set Functions Defined by Aumann Fuzzy Integrals

    Institute of Scientific and Technical Information of China (English)

    刘彦奎; 刘宝碇

    2003-01-01

    A novel concept, called nonadditive set-valued measure, is first defined as a monotone and continuous set function. Then the interconnections between nonadditive set-valued measure and the additive set-valued measure as well as the fuzzy measure are discussed. Finally, an approach to construct a nonadditive compact set-valued measure is presented via Aumann fuzzy integral.

  2. Reliability modelling of repairable systems using Petri nets and fuzzy Lambda-Tau methodology

    Energy Technology Data Exchange (ETDEWEB)

    Knezevic, J.; Odoom, E.R

    2001-07-01

    A methodology is developed which uses Petri nets instead of the fault tree methodology and solves for reliability indices utilising fuzzy Lambda-Tau method. Fuzzy set theory is used for representing the failure rate and repair time instead of the classical (crisp) set theory because fuzzy numbers allow expert opinions, linguistic variables, operating conditions, uncertainty and imprecision in reliability information to be incorporated into the system model. Petri nets are used because unlike the fault tree methodology, the use of Petri nets allows efficient simultaneous generation of minimal cut and path sets.

  3. A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

    Directory of Open Access Journals (Sweden)

    Aytac Yildiz

    2013-06-01

    Full Text Available In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP and linear normalization based fuzzy Grey Relational Analysis (Fuzzy-GRA combined Multi Criteria Decision Making (MCDM methodology. This combined approach can be applied to a complex decision process, which often makes sense with subjective data or vague information; and used to solve to solve HES selection problem with different defuzzification methods. The proposed approach is unique both in the HES literature and the MCDM literature.

  4. Development of Fuzzy Logic and Soft Computing Methodologies

    Science.gov (United States)

    Zadeh, L. A.; Yager, R.

    1999-01-01

    Our earlier research on computing with words (CW) has led to a new direction in fuzzy logic which points to a major enlargement of the role of natural languages in information processing, decision analysis and control. This direction is based on the methodology of computing with words and embodies a new theory which is referred to as the computational theory of perceptions (CTP). An important feature of this theory is that it can be added to any existing theory - especially to probability theory, decision analysis, and control - and enhance the ability of the theory to deal with real-world problems in which the decision-relevant information is a mixture of measurements and perceptions. The new direction is centered on an old concept - the concept of a perception - a concept which plays a central role in human cognition. The ability to reason with perceptions perceptions of time, distance, force, direction, shape, intent, likelihood, truth and other attributes of physical and mental objects - underlies the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. Everyday examples of such tasks are parking a car, driving in city traffic, cooking a meal, playing golf and summarizing a story. Perceptions are intrinsically imprecise. Imprecision of perceptions reflects the finite ability of sensory organs and ultimately, the brain, to resolve detail and store information. More concretely, perceptions are both fuzzy and granular, or, for short, f-granular. Perceptions are f-granular in the sense that: (a) the boundaries of perceived classes are not sharply defined; and (b) the elements of classes are grouped into granules, with a granule being a clump of elements drawn together by indistinguishability, similarity. proximity or functionality. F-granularity of perceptions may be viewed as a human way of achieving data compression. In large measure, scientific progress has been, and continues to be

  5. Fuzzy neural network methodology applied to medical diagnosis

    Science.gov (United States)

    Gorzalczany, Marian B.; Deutsch-Mcleish, Mary

    1992-01-01

    This paper presents a technique for building expert systems that combines the fuzzy-set approach with artificial neural network structures. This technique can effectively deal with two types of medical knowledge: a nonfuzzy one and a fuzzy one which usually contributes to the process of medical diagnosis. Nonfuzzy numerical data is obtained from medical tests. Fuzzy linguistic rules describing the diagnosis process are provided by a human expert. The proposed method has been successfully applied in veterinary medicine as a support system in the diagnosis of canine liver diseases.

  6. Composite Gauss-Legendre Formulas for Solving Fuzzy Integration

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    Xiaobin Guo

    2014-01-01

    Full Text Available Two numerical integration rules based on composition of Gauss-Legendre formulas for solving integration of fuzzy numbers-valued functions are investigated in this paper. The methods' constructions are presented and the corresponding convergence theorems are shown in detail. Two numerical examples are given to illustrate the proposed algorithms finally.

  7. An Intuitionistic Fuzzy Methodology for Component-Based Software Reliability Optimization

    DEFF Research Database (Denmark)

    Madsen, Henrik; Grigore, Albeanu; Popenţiuvlǎdicescu, Florin

    2012-01-01

    Component-based software development is the current methodology facilitating agility in project management, software reuse in design and implementation, promoting quality and productivity, and increasing the reliability and performability. This paper illustrates the usage of intuitionistic fuzzy...... degree approach in modelling the quality of entities in imprecise software reliability computing in order to optimize management results. Intuitionistic fuzzy optimization algorithms are proposed to be used for complex software systems reliability optimization under various constraints....

  8. Performance-Based Adaptive Gradient Descent Optimal Coefficient Fuzzy Sliding Mode Methodology

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    Hossein Rezaie

    2012-10-01

    Full Text Available Design a nonlinear controller for second order nonlinear uncertain dynamical systems is the main challenge in this paper. This paper focuses on the design and analysis of a chattering free Mamdani’s fuzzy-based tuning gradient descent optimal error-based fuzzy sliding mode controller for highly nonlinear dynamic six degrees of freedom robot manipulator, in presence of uncertainties. Conversely, pure sliding mode controller is used in many applications; it has two important drawbacks namely; chattering phenomenon and nonlinear equivalent dynamic formulation in uncertain dynamic parameter. In order to solve the uncertain nonlinear dynamic parameters, implement easily and avoid mathematical model base controller, Mamdani’s performance/error-based fuzzy logic methodology with two inputs and one output and 49 rules is applied to pure sliding mode controller. Pure sliding mode controller and error-based fuzzy sliding mode controller have difficulty in handling unstructured model uncertainties. To solve this problem applied fuzzy-based tuning method to error-based fuzzy sliding mode controller for adjusting the sliding surface gain. Since the sliding surface gain is adjusted by gradient descent optimization method. Fuzzy-based tuning gradient descent optimal error-based fuzzy sliding mode controller is stable model-free controller which eliminates the chattering phenomenon without to use the boundary layer saturation function. Lyapunov stability is proved in fuzzy-based tuning gradient descent optimal fuzzy sliding mode controller based on switching (sign function. This controller has acceptable performance in presence of uncertainty (e.g., overshoot=0%, rise time=0.8 second, steady state error = 1e-9 and RMS error=1.8e-12.

  9. Mapa digital de solos: uma proposta metodológica usando inferência fuzzy Digital soil map: a methodological proposal using fuzzy inference

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    Claudia C. Nolasco-Carvalho

    2009-02-01

    Full Text Available Elaborou-se um mapa digital de solos de uma área na região de Mucugê, BA, com o objetivo de avaliar o uso de geotecnologias na cartografia de solos. A metodologia desenvolvida a partir do modelo de inferência para solos - SoLIM , requer o conhecimento prévio da área por um especialista em mapeamento e está alicerçada na equação dos fatores de formação do solo e no modelo de distribuição dos solos na paisagem. Os dados, advindos do Modelo Digital do Terreno - MDT, da vegetação e da geologia, foram associados ao conhecimento do pedólogo e integrados em ambiente SIG (Sistema de Informações Geográficas sob inferência fuzzy. A modelagem por lógica fuzzy permitiu apontar as incertezas e transições da cobertura pedológica e gerou um mapa digital de solo que, quando comparado com o mapa convencional da área, mostrou menor generalização no domínio de espaços e parâmetros, ou seja, um refinamento da escala, porém a aplicabilidade da metodologia depende da validação de campo e da repetição em outras áreas.A digital soil map was elaborated for an area in the region of Mucugê-BA using data integration derived from a digital elevation model (DEM of the vegetation and geology that was associated with a soil scientist's knowledge and correlated in a GIS environment (Geography Information System under fuzzy inference, as a methodological proposal. The methodology was developed and based on the soil-land inference model - SoLIM, on the soil factor equation and the soil-landscape model. The fuzzy logic is able to simulate the uncertainty and transitions that often appear in pedologic systems. The results show that the methodology allows the generation of digital soil maps with increased scale and to reduce soil classe generalizations in the space and parameter domain. However, this methodology is very dependent upon the soil expert's knowledge and accuracy of the data base. To verify the applicability of the methodology the

  10. FUZZY NEURAL NETWORK FOR OBJECT IDENTIFICATION ON INTEGRATED CIRCUIT LAYOUTS

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    A. A. Doudkin

    2015-01-01

    Full Text Available Fuzzy neural network model based on neocognitron is proposed to identify layout objects on images of topological layers of integrated circuits. Testing of the model on images of real chip layouts was showed a highеr degree of identification of the proposed neural network in comparison to base neocognitron.

  11. AN INTEGRATED FUZZY AHP AND TOPSIS MODEL FOR SUPPLIER EVALUATION

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    Željko Stević

    2016-05-01

    Full Text Available In today’s modern supply chains, the adequate suppliers’ choice has strategic meaning for entire companies’ business. The aim of this paper is to evaluate different suppliers using the integrated model that recognizes a combination of fuzzy AHP (Analytical Hierarchy Process and the TOPSIS method. Based on six criteria, the expert team was formed to compare them, so determination of their significance is being done with fuzzy AHP method. Expert team also compares suppliers according to each criteria and on the base of triangular fuzzy numbers. Based on their inputs, TOPSIS method is used to estimate potential solutions. Suggested model accomplishes certain advantages in comparison with previously used traditional models which were used to make decisions about evaluation and choice of supplier.

  12. Methodology of analysis sustainable development of Ukraine by using the theory fuzzy logic

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    Methodology of analysis sustainable development of Ukraine by using the theory fuzzy logic

    2016-02-01

    Full Text Available Article objective is analysis of the theoretical and methodological aspects for the assessment of sustainable development in times of crisis. The methodical approach to the analysis of sustainable development territory taking into account the assessment of the level of economic security has been proposed. A necessity of development of the complex methodical approach to the accounting of the indeterminacy properties and multicriterial in the tasks to provide economic safety on the basis of using the fuzzy logic theory (or the fuzzy sets theory was proved. The results of using the method of fuzzy sets of during the 2002-2012 years the dynamics of changes dynamics of sustainable development in Ukraine were presented.

  13. Fuzzy portfolio optimization advances in hybrid multi-criteria methodologies

    CERN Document Server

    Gupta, Pankaj; Inuiguchi, Masahiro; Chandra, Suresh

    2014-01-01

    This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuin...

  14. Face recognition using fuzzy integral and wavelet decomposition method.

    Science.gov (United States)

    Kwak, Keun-Chang; Pedrycz, Witold

    2004-08-01

    In this paper, we develop a method for recognizing face images by combining wavelet decomposition, Fisherface method, and fuzzy integral. The proposed approach is comprised of four main stages. The first stage uses the wavelet decomposition that helps extract intrinsic features of face images. As a result of this decomposition, we obtain four subimages (namely approximation, horizontal, vertical, and diagonal detailed images). The second stage of the approach concerns the application of the Fisherface method to these four decompositions. The choice of the Fisherface method in this setting is motivated by its insensitivity to large variation in light direction, face pose, and facial expression. The two last phases are concerned with the aggregation of the individual classifiers by means of the fuzzy integral. Both Sugeno and Choquet type of fuzzy integral are considered as the aggregation method. In the experiments we use n-fold cross-validation to assure high consistency of the produced classification outcomes. The experimental results obtained for the Chungbuk National University (CNU) and Yale University face databases reveal that the approach presented in this paper yields better classification performance in comparison to the results obtained by other classifiers.

  15. K-quasi-additive fuzzy integrals of set-valued mappings

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    We first define the quasi-addition and quasi-multiplication operations by introducing the inductive operator, and then, in the K-quasi-additive fuzzy measure space, we establish the K-quasi-additive fuzzy integral of a generally measurable set-valued mapping.Applying the integral transformation theorem, some basic properties of the K-quasi-additive fuzzy integrals with respect to this kind of setvalued mapping are studied. Finally, the generalized monotone convergence theorems of this kind of fuzzy integrals are obtained.

  16. Systematic Methodology of Integrated Supply Chain Management

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Supply chain management (SCM) is a strategy for global competition. Th e characteristics of SCM are integration, systematic and coordination. Using sys tematic, coordination thoughts and integration theory, a new model of enterprise integration based on supply chain management is put forward and an implementing paradigm for systematic methodology of supply chain management is developed.

  17. A Combined Methodology of H∞ Fuzzy Tracking Control and Virtual Reference Model for a PMSM

    Directory of Open Access Journals (Sweden)

    Djamel Ounnas

    2015-01-01

    Full Text Available The aim of this paper is to present a new fuzzy tracking strategy for a permanent magnet synchronous machine (PMSM by using Takagi-Sugeno models (T-S. A feedback-based fuzzy control with h-infinity tracking performance and a concept of virtual reference model are combined to develop a fuzzy tracking controller capable to track a reference signal and ensure a minimum effect of disturbance on the PMSM system. First, a T-S fuzzy model is used to represent the PMSM nonlinear system with disturbance. Next, an integral fuzzy tracking control based on the concept of virtual desired variables (VDVs is formulated to simplify the design of the virtual reference model and the control law. Finally, based on this concept, a two-stage design procedure is developed: i determine the VDVs from the nonlinear system output equation and generalized kinematics constraints ii calculate the feedback controller gains by solving a set of linear matrix inequalities (LMIs. Simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.

  18. A multi-criteria decision-making approach that combines fuzzy TOPSIS and DEA methodologies

    Directory of Open Access Journals (Sweden)

    Taylan, Osman

    2014-11-01

    Full Text Available Employee selection is a multi-criteria decision-making (MCDM problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decision- makers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs.

  19. A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks

    Science.gov (United States)

    Zheng, Zhixue; Péra, Marie-Cécile; Hissel, Daniel; Becherif, Mohamed; Agbli, Kréhi-Serge; Li, Yongdong

    2014-12-01

    To improve the performance and lifetime of the low temperature polymer electrolyte membrane fuel cell (PEMFC) stack, water management is an important issue. This paper aims at developing an online diagnostic methodology with the capability of discriminating different degrees of flooding/drying inside the fuel cell stack. Electrochemical impedance spectroscopy (EIS) is utilized as a basis tool and a double-fuzzy method consisting of fuzzy clustering and fuzzy logic is developed to mine diagnostic rules from the experimental data automatically. Through online experimental verification, a high interpretability and computational efficiency of the proposed methodology can be achieved.

  20. FISim: A new similarity measure between transcription factor binding sites based on the fuzzy integral

    Directory of Open Access Journals (Sweden)

    Cano Carlos

    2009-07-01

    Full Text Available Abstract Background Regulatory motifs describe sets of related transcription factor binding sites (TFBSs and can be represented as position frequency matrices (PFMs. De novo identification of TFBSs is a crucial problem in computational biology which includes the issue of comparing putative motifs with one another and with motifs that are already known. The relative importance of each nucleotide within a given position in the PFMs should be considered in order to compute PFM similarities. Furthermore, biological data are inherently noisy and imprecise. Fuzzy set theory is particularly suitable for modeling imprecise data, whereas fuzzy integrals are highly appropriate for representing the interaction among different information sources. Results We propose FISim, a new similarity measure between PFMs, based on the fuzzy integral of the distance of the nucleotides with respect to the information content of the positions. Unlike existing methods, FISim is designed to consider the higher contribution of better conserved positions to the binding affinity. FISim provides excellent results when dealing with sets of randomly generated motifs, and outperforms the remaining methods when handling real datasets of related motifs. Furthermore, we propose a new cluster methodology based on kernel theory together with FISim to obtain groups of related motifs potentially bound by the same TFs, providing more robust results than existing approaches. Conclusion FISim corrects a design flaw of the most popular methods, whose measures favour similarity of low information content positions. We use our measure to successfully identify motifs that describe binding sites for the same TF and to solve real-life problems. In this study the reliability of fuzzy technology for motif comparison tasks is proven.

  1. Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems

    Directory of Open Access Journals (Sweden)

    Chien-Hao Tseng

    2016-07-01

    Full Text Available This paper presents a sensor fusion method based on the combination of cubature Kalman filter (CKF and fuzzy logic adaptive system (FLAS for the integrated navigation systems, such as the GPS/INS (Global Positioning System/inertial navigation system integration. The third-degree spherical-radial cubature rule applied in the CKF has been employed to avoid the numerically instability in the system model. In processing navigation integration, the performance of nonlinear filter based estimation of the position and velocity states may severely degrade caused by modeling errors due to dynamics uncertainties of the vehicle. In order to resolve the shortcoming for selecting the process noise covariance through personal experience or numerical simulation, a scheme called the fuzzy adaptive cubature Kalman filter (FACKF is presented by introducing the FLAS to adjust the weighting factor of the process noise covariance matrix. The FLAS is incorporated into the CKF framework as a mechanism for timely implementing the tuning of process noise covariance matrix based on the information of degree of divergence (DOD parameter. The proposed FACKF algorithm shows promising accuracy improvement as compared to the extended Kalman filter (EKF, unscented Kalman filter (UKF, and CKF approaches.

  2. Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems.

    Science.gov (United States)

    Tseng, Chien-Hao; Lin, Sheng-Fuu; Jwo, Dah-Jing

    2016-07-26

    This paper presents a sensor fusion method based on the combination of cubature Kalman filter (CKF) and fuzzy logic adaptive system (FLAS) for the integrated navigation systems, such as the GPS/INS (Global Positioning System/inertial navigation system) integration. The third-degree spherical-radial cubature rule applied in the CKF has been employed to avoid the numerically instability in the system model. In processing navigation integration, the performance of nonlinear filter based estimation of the position and velocity states may severely degrade caused by modeling errors due to dynamics uncertainties of the vehicle. In order to resolve the shortcoming for selecting the process noise covariance through personal experience or numerical simulation, a scheme called the fuzzy adaptive cubature Kalman filter (FACKF) is presented by introducing the FLAS to adjust the weighting factor of the process noise covariance matrix. The FLAS is incorporated into the CKF framework as a mechanism for timely implementing the tuning of process noise covariance matrix based on the information of degree of divergence (DOD) parameter. The proposed FACKF algorithm shows promising accuracy improvement as compared to the extended Kalman filter (EKF), unscented Kalman filter (UKF), and CKF approaches.

  3. Assessing System Architectures: The Canonical Decomposition Fuzzy Comparative Methodology

    Science.gov (United States)

    2011-01-01

    the antenna performance. CAD models were produced in NX commercial modeling software ( Siemens PLM). The integration environment for the analysis was...Changeability in Multi-Attribute Tradespace Exploration. PhD diss., Massachusetts Institute of Technology. Siemens PLM. NX : PLM – Product Lifecycle...Management. Siemens Product Lifecycle Management Software. http://www.plm.automation.siemens.com/en_us/products/ nx /index.shtml. Simpson, J. J. and

  4. Fuzzy integral based measurement and assessment of medium and small enterprises' product innovation

    Institute of Scientific and Technical Information of China (English)

    毕克新; 张铁柱; 孙金花; 冯英浚

    2003-01-01

    A fuzzy integral based way of measurement assessment has been established by using linguistic varia-bles and combining fuzzy integral with hierarchy analysis for measurement of medium and small enterprises'product innovation. The conclusions drawn from analyses made with 20 medium and small enterprises providebases for governments to formulate applicable policies and for medium and small enterprises to enhance theirproduct innovation.

  5. Integration of fuzzy reasoning approach (FRA and fuzzy analytic hierarchy process (FAHP for risk assessment in mining industry

    Directory of Open Access Journals (Sweden)

    Shikha Verma

    2014-10-01

    Full Text Available Purpose: Mining industry has always been known for its unsafe working environment. This industry is one of the most hazard prone industries. To maintain safety in workplace timely assessment of risk associated with different operations performed to extract ore from the ore body has become necessity. To serve the said purpose, present work demonstrates a robust hybrid risk assessment approach for mining industry.Design/Methodology: Accident data from 1995 to 2012 is reviewed to identify hazards contributed to negative outcomes. The FRA approach is implemented to evaluate the risk levels associated with identified hazard factors. Thereafter AHP pairwise comparison matrix is developed to obtain priority weights for the hazard factors. Final priority of hazards based on severity of level of risk associated with them is obtained considering the outcome of FRA approach in terms of risk score for the hazards, combined with the priority weights obtained from AHP technique.Findings: Defuzzified FAHP weight of hazard factors, this weight gives priority sequence of hazards to be considered for development of plan of mitigation.Originality/Value: Risk assessment is a requirement of the Occupational Health and Safety Act 2000 (Section 7& 8. The data required to assess the risk is uncertain, and in such case fuzzy approach is well suited to process the data and get the crisp output. The output of fuzzy approach is made robust with its integration to AHP. In this way FAHP can be used as robust technique for risk assessment in this industry and this technique develops an efficient safety management system for the achievement of goal to develop the workplace with zero accident, which many other countries have already achieved.

  6. Fusion Method for Remote Sensing Image Based on Fuzzy Integral

    Directory of Open Access Journals (Sweden)

    Hui Zhou

    2014-01-01

    Full Text Available This paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensing images. Firstly, wavelet decomposition is carried out to two images, respectively, to obtain wavelet decomposition coefficients of the two image and keep coefficient of low frequency of multispectral image, and then optimized fusion is carried out to high frequency part of the two images based on weighting coefficient to generate new fusion image. Finally, evaluation is carried out to the image after fusion with introduction of evaluation indexes of correlation coefficient, mean value of image, standard deviation, distortion degree, information entropy, and so forth. The test results show that this method integrated multispectral information and space high-resolution information in a better way, and it is an effective fusion method of remote sensing image.

  7. A fuzzy simulated evolution algorithm for integrated manufacturing system design

    Directory of Open Access Journals (Sweden)

    Michael Mutingi

    2013-04-01

    Full Text Available Integrated cell formation and layout (CFLP is an extended application of the group technology philosophy in which machine cells and cell layout are addressed simultaneously. The aim of this technological innovation is to improve both productivity and flexibility in modern manufacturing industry. However, due to its combinatorial complexity, the cell formation and layout problem is best solved by heuristic and metaheuristic approaches. As CFLP is prevalent in manufacturing industry, developing robust and efficient solution methods for the problem is imperative. This study seeks to develop a fuzzy simulated evolution algorithm (FSEA that integrates fuzzy-set theoretic concepts and the philosophy of constructive perturbation and evolution. Deriving from the classical simulated evolution algorithm, the search efficiency of the major phases of the algorithm is enhanced, including initialization, evaluation, selection and reconstruction. Illustrative computational experiments based on existing problem instances from the literature demonstrate the utility and the strength of the FSEA algorithm developed in this study. It is anticipated in this study that the application of the algorithm can be extended to other complex combinatorial problems in industry.

  8. Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach

    OpenAIRE

    2014-01-01

    Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1) use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2) apply fuzzy technique for order preference by similarity to ideal so...

  9. A Fuzzy Logic Framework for Integrating Multiple Learned Models

    Energy Technology Data Exchange (ETDEWEB)

    Hartog, Bobi Kai Den [Univ. of Nebraska, Lincoln, NE (United States)

    1999-03-01

    The Artificial Intelligence field of Integrating Multiple Learned Models (IMLM) explores ways to combine results from sets of trained programs. Aroclor Interpretation is an ill-conditioned problem in which trained programs must operate in scenarios outside their training ranges because it is intractable to train them completely. Consequently, they fail in ways related to the scenarios. We developed a general-purpose IMLM solution, the Combiner, and applied it to Aroclor Interpretation. The Combiner's first step, Scenario Identification (M), learns rules from very sparse, synthetic training data consisting of results from a suite of trained programs called Methods. S1 produces fuzzy belief weights for each scenario by approximately matching the rules. The Combiner's second step, Aroclor Presence Detection (AP), classifies each of three Aroclors as present or absent in a sample. The third step, Aroclor Quantification (AQ), produces quantitative values for the concentration of each Aroclor in a sample. AP and AQ use automatically learned empirical biases for each of the Methods in each scenario. Through fuzzy logic, AP and AQ combine scenario weights, automatically learned biases for each of the Methods in each scenario, and Methods' results to determine results for a sample.

  10. The Fuzzy Set by Fuzzy Interval

    OpenAIRE

    Dr.Pranita Goswami

    2011-01-01

    Fuzzy set by Fuzzy interval is atriangular fuzzy number lying between the two specified limits. The limits to be not greater than 2 and less than -2 by fuzzy interval have been discussed in this paper. Through fuzzy interval we arrived at exactness which is a fuzzymeasure and fuzzy integral

  11. A New Integrated Design Method Based on Fuzzy Matter-Element Optimization

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper puts forward a new integrated design met ho d based on fuzzy matter-element optimization.On the based of analyzing the mod el of multi-objective fuzzy matter-element , the paper defines the m atter-element weightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of the single-objective optimization according to the optimization criterion. The paper particularly describes the realization approach of GA process of multi -objective fuzzy matter-eleme...

  12. Nonlinear fusion for face recognition using fuzzy integral

    Science.gov (United States)

    Chen, Xuerong; Jing, Zhongliang; Xiao, Gang

    2007-08-01

    Face recognition based only on the visual spectrum is not accurate or robust enough to be used in uncontrolled environments. Recently, infrared (IR) imagery of human face is considered as a promising alternative to visible imagery due to its relative insensitive to illumination changes. However, IR has its own limitations. In order to fuse information from the two modalities to achieve better result, we propose a new fusion recognition scheme based on nonlinear decision fusion, using fuzzy integral to fuse the objective evidence supplied by each modality. The scheme also employs independent component analysis (ICA) for feature extraction and support vector machines (SVMs) for classification evidence. Recognition rate is used to evaluate the proposed scheme. Experimental results show the scheme improves recognition performance substantially.

  13. Green Supplier Evaluation by Using an Integrated Fuzzy AHP- VIKOR Approach

    Directory of Open Access Journals (Sweden)

    Mehdi HakimiAsl

    2016-08-01

    Full Text Available In the previous decade, fossil energy resources shortage and environmental challenges such as air and water pollution, global warming, and greenhouse-gas emissions, etc. have increased environmental concerns considerably. Since, one of the most practical and useful solutions to decrease environmental pollutants is to deploy green purchasing and clean energies by organizations or even governments. Thus, the construction of renewable-energy power plants and, consequently, the green supplier selection for these plants’ equipment has become more important. With this respect, this article presents a novel approach to assess and select green suppliers of a solar power plant. The proposed approach integrates Fuzzy Analytic Hierarchy Process and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje methodologies. The results demonstrate the efficiency of the proposed approach as a practical tool to assist managers and CEOs (Chief Executive Officers of electric power industry in assessing suppliers of solar power plant’s equipment.

  14. PERFORMANCE STUDIES OF INTEGRATED FUZZY LOGIC CONTROLLER FOR BRUSHLESS DC MOTOR DRIVES USING ADVANCED SIMULATION MODEL

    National Research Council Canada - National Science Library

    C, Subba Rami Reddy; M, Surya Kalavathi

    2011-01-01

    This paper introduces an Integrated fuzzy logic controller (IFLC) for brushless dc (BLDC) motor drives using advanced simulation model and presents a comparative study of performances of PID controller and IFLC...

  15. Solving Fuzzy Nonlinear Volterra-Fredholm Integral Equations by Using Homotopy Analysis and Adomian Decomposition Methods

    Directory of Open Access Journals (Sweden)

    Shadan Sadigh Behzadi

    2011-12-01

    Full Text Available In this paper, Adomian decomposition method (ADM and homotopy analysis method (HAM are proposed to solving the fuzzy nonlinear Volterra-Fredholm integral equation of the second kind$(FVFIE-2$. we convert a fuzzy nonlinear Volterra-Fredholm integral equation to a nonlinear system of Volterra-Fredholm integral equation in crisp case. we use ADM , HAM and find the approximate solution of this system and hence obtain an approximation for fuzzy solution of the nonlinear fuzzy Volterra-Fredholm integral equation. Also, the existence and uniqueness of the solution and convergence of the proposed methods are proved. Examples is given and the results reveal that homotopy analysis method is very effective and simple compared with the Adomian decomposition method.

  16. Finding optimal step of fuzzy Newton-Cotes integration rules by using the CESTAC method

    Directory of Open Access Journals (Sweden)

    Samad Noeiaghdam

    2017-08-01

    Full Text Available The aim of this work, is to evaluate the value of a fuzzy integral by applying the Newton-Cotes integration rules via a reliable scheme. In order to perform the numerical examples, the CADNA (Control of Accuracy and Debugging for Numerical Applications library and the CESTAC (Controle et Estimation Stochastique des Arrondis de Calculs method are applied based on the stochastic arithmetic. By using this method, the optimal number of points in the fuzzy numerical integration rules and the optimal approximate solution are obtained. Also, the accuracy of the fuzzy quadrature rules are discussed. An algorithm is given to illustrate the implementation of the method. In this case, the termination criterion is considered as the Hausdorff distance between two sequential results to be an informatical zero. Two sample fuzzy integrals are evaluated based on the proposed algorithm to show the importance and advantage of using the stochastic arithmetic in place of the floating-point arithmetic.

  17. Application of fuzzy sets and cognitive maps to incorporate social science scenarios in integrated assessment models

    OpenAIRE

    Kok, de, JMM John; Titus, Milan; Wind, Herman G.

    2000-01-01

    Decision-support systems in the field of integrated water management could benefit considerably from social science knowledge, as many environmental changes are human-induced. Unfortunately the adequate incorporation of qualitative social science concepts in a quantitative modeling framework is not straightforward. The applicability of fuzzy set theory and fuzzy cognitive maps for the integration of qualitative scenarios in a decision–support system was examined for the urbanization of the co...

  18. Fuzzy model of the computer integrated decision support and management system in mineral processing

    OpenAIRE

    Miljanović Igor; Vujić Slobodan

    2008-01-01

    During the research on the subject of computer integrated systems for decision making and management support in mineral processing based on fuzzy logic, realized at the Department of Applied Computing and System Engineering of the Faculty of Mining and Geology, University of Belgrade, for the needs of doctoral thesis of the first author, and wider demands of the mineral industry, the incompleteness of the developed and contemporary computer integrated systems fuzzy models was noticed. The pap...

  19. Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology

    Science.gov (United States)

    Agrawal, Saurabh; Singh, Rajesh K.; Murtaza, Qasim

    2016-11-01

    Electronics industry is one of the fastest growing industries in the world. In India also, there are high turnovers and growing demand of electronics product especially after post liberalization in early nineties. These products generate e-waste which has become big environmental issue. Industries can handle these e-waste and product returns efficiently by developing reverse logistics (RL) system. A thorough study of critical success factors (CSFs) and their ordered implementation is essential for successful RL implementation. The aim of the study is to review the CSFs, and to prioritize them for RL implementation in Indian electronics industry. Twelve CSFs were identified through literature review, and discussion with the experts from the Indian electronics industry. Fuzzy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is proposed for prioritizing these CSFs. Perusal of literature indicates that fuzzy-TOPSIS has not been applied earlier for prioritization of CSFs in Indian electronics industry. Five Indian electronics companies were selected for evaluation of this methodology. Results indicate that most of the identified factors are crucial for the RL implementation. Top management awareness, resource management, economic factors, and contracts terms and conditions are top four prioritized factor, and process capabilities and skilled workers is the least prioritized factor. The findings will be useful for successful RL implementation in Indian electronics industry.

  20. Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment

    Institute of Scientific and Technical Information of China (English)

    Niranjan P.Bidargaddi; Madlhu Chetty; Joarder Kamruzzaman

    2008-01-01

    Profile hidden Markov models (HMMs) based on classical HMMs have been widely applied for protein sequence identification. The formulation of the forward and backward variables in profile HMMs is made under statistical independence assumption of the probability theory. We propose a fuzzy profile HMM to overcome the limitations of that assumption and to achieve an improved alignment for protein sequences belonging to a given family. The proposed model fuzzifies the forward and backward variables by incorporating Sugeno fuzzy measures and Choquet integrals, thus further extends the generalized HMM. Based on the fuzzified forwardand backward variables, we propose a fuzzy Baum-Welch parameter estimation al-gorithm for profiles. The strong correlations and the sequence preference involved in the protein structures make this fuzzy architecture based model as a suitable candidate for building profiles of a given family, since the fuzzy set can handle uncertainties better than classical methods.

  1. Efficient explicit formulation for practical fuzzy structural analysis

    Indian Academy of Sciences (India)

    A S Balu; B N Rao

    2011-08-01

    This paper presents a practical approach based on High Dimensional Model Representation (HDMR) for analysing the response of structures with fuzzy parameters. The proposed methodology involves integrated finite element modelling, HDMR based response surface generation, and explicit fuzzy analysis procedures. The uncertainties in the material, geometric, loading and structural parameters are represented using fuzzy sets. To facilitate efficient computation, a HDMR based response surface generation is employed for the approximation of the fuzzy finite element response quantity.

  2. Intuition based decision making methodology for ranking fuzzy numbers using centroid point and spread

    OpenAIRE

    Abu Bakar, Ahmad Syafadhli Bin

    2015-01-01

    The concept of ranking fuzzy numbers has received significant attention from the research community due to its successful applications for decision making. It complements the decision maker exercise their subjective judgments under situations that are vague, imprecise, ambiguous and uncertain in nature. The literature on ranking fuzzy numbers show that numerous ranking methods for fuzzy numbers are established where all of them aim to correctly rank all sets of fuzzy numbers that mimic real d...

  3. Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data

    Directory of Open Access Journals (Sweden)

    Chen Li

    2013-01-01

    Full Text Available Fuzzy measures and fuzzy integrals have been successfully used in many real applications. How to determine fuzzy measures is a very difficult problem in these applications. Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms, neural networks, and particle swarm algorithm, it is hard to say which one is more appropriate and more feasible. Each method has its advantages. Most of the existed works can only deal with the data consisting of classic numbers which may arise limitations in practical applications. It is not reasonable to assume that all data are real data before we elicit them from practical data. Sometimes, fuzzy data may exist, such as in pharmacological, financial and sociological applications. Thus, we make an attempt to determine a more generalized type of general fuzzy measures from fuzzy data by means of genetic algorithms and Choquet integrals. In this paper, we make the first effort to define the σ-λ rules. Furthermore we define and characterize the Choquet integrals of interval-valued functions and fuzzy-number-valued functions based on σ-λ rules. In addition, we design a special genetic algorithm to determine a type of general fuzzy measures from fuzzy data.

  4. Integration of fuzzy theory into Kano model for classification of service quality elements: A case study in a machinery industry of China

    Directory of Open Access Journals (Sweden)

    Qingliang Meng

    2015-11-01

    Full Text Available Purpose: The purpose of study is to meet customer requirements and improve customer satisfaction that aims to classify customer requirements more effectively. And the classification is focused on the customer psychology. Design/methodology/approach: In this study, considering the advantages of Kano model in taking into account both customer’s consuming psychology and motivation, and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a Kano model based on fuzzy theory is proposed. In view of the strong subjectivity of traditional Kano questionnaires, a fuzzy Kano questionnaire to classify the service quality elements more objectively is proposed. Furthermore, this study will also develop a mathematical calculation performance according to the quality classification of fuzzy Kano model. It’s more objective than traditional Kano model to realize the service quality elements classification. With this method, the accurate mentality can be fully reasonable reflected in some unknown circumstances. Finally, an empirical study in Xuzhou Construction Machinery Group Co., Ltd, the largest manufacturing industry in China, is showed to testify its feasibility and validity. Findings: The calculation results indicate that the proposed model has good performance in classifying customer requirements. With this method, the accurate mentality can be fully reasonable reflected in unknown circumstances and it is more objective than traditional Kano model to classify the service quality elements. Originality/value: This study provides a method to integrate fuzzy theory and Kano model, and develops a mathematical calculation performance according to the quality classification of fuzzy Kano model.

  5. Using fuzzy logic to integrate neural networks and knowledge-based systems

    Science.gov (United States)

    Yen, John

    1991-01-01

    Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy inference rules extend symbolic systems with approximate reasoning capabilities, which are used for integrating and interpreting the outputs of neural networks. The symbolic system captures meta-level information about neural networks and defines its interaction with neural networks through a set of control tasks. Fuzzy action rules provide a robust mechanism for recognizing the situations in which neural networks require certain control actions. The neural nets, on the other hand, offer flexible classification and adaptive learning capabilities, which are crucial for dynamic and noisy environments. By combining neural nets and symbolic systems at their system levels through the use of fuzzy logic, the author's approach alleviates current difficulties in reconciling differences between low-level data processing mechanisms of neural nets and artificial intelligence systems.

  6. An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness.

    Science.gov (United States)

    Nguyen, Huu-Tho; Dawal, Siti Zawiah Md; Nukman, Yusoff; Rifai, Achmad P; Aoyama, Hideki

    2016-01-01

    The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This paper presents an integrated multi-criteria decision making (MCDM) model of a fuzzy AHP (analytic hierarchy process) and fuzzy ARAS (additive ratio assessment) for conveyor evaluation and selection. In this model, linguistic terms represented as triangular fuzzy numbers are used to quantify experts' uncertain assessments of alternatives with respect to the criteria. The fuzzy set is then integrated into the AHP to determine the weights of the criteria. Finally, a fuzzy ARAS is used to calculate the weights of the alternatives. To demonstrate the effectiveness of the proposed model, a case study is performed of a practical example, and the results obtained demonstrate practical potential for the implementation of FMCs.

  7. Human error probability quantification using fuzzy methodology in nuclear plants; Aplicacao da metodologia fuzzy na quantificacao da probabilidade de erro humano em instalacoes nucleares

    Energy Technology Data Exchange (ETDEWEB)

    Nascimento, Claudio Souza do

    2010-07-01

    This work obtains Human Error Probability (HEP) estimates from operator's actions in response to emergency situations a hypothesis on Research Reactor IEA-R1 from IPEN. It was also obtained a Performance Shaping Factors (PSF) evaluation in order to classify them according to their influence level onto the operator's actions and to determine these PSF actual states over the plant. Both HEP estimation and PSF evaluation were done based on Specialists Evaluation using interviews and questionnaires. Specialists group was composed from selected IEA-R1 operators. Specialist's knowledge representation into linguistic variables and group evaluation values were obtained through Fuzzy Logic and Fuzzy Set Theory. HEP obtained values show good agreement with literature published data corroborating the proposed methodology as a good alternative to be used on Human Reliability Analysis (HRA). (author)

  8. A fuzzy expert system for the integration of collaborative sypply chains

    Directory of Open Access Journals (Sweden)

    Bautista-Santos, Horacio

    2016-08-01

    Full Text Available The integration of supply chains has become a global operations strategy for many organisations because it allows them to improve customer service, minimise operating costs, and synchronise channels across the supply chain. This paper presents the design and implementation of a fuzzy expert system for the integration of collaborative supply chains. A measurement instrument that was statistically validated and formulated using a mathematical model was designed to implement the fuzzy expert system. This instrument was applied in 44 small-, medium-, and large-sized Mexican enterprises to determine their integration level. Specific actions were proposed, based on the results, to improve the attained integration level.

  9. Fuzzy hybrid MCDM approach for selection of wind turbine service technicians

    OpenAIRE

    Goutam Kumar Bose; Nikhil Chandra Chatterjee

    2016-01-01

    This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated...

  10. Moldability Evaluation for Molded Parts Based on Fuzzy Reasoning

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Moldability evaluation for molded parts, which is the basis of concurrent design, is a key design stage in injection molding design. By moldability evaluation the design problems can be found timely and an optimum plastic part design achieved. In this paper, a systematic methodology for moldability evaluation based on fuzzy logic is proposed. Firstly, fuzzy set modeling for six key design attributes of molded parts is carried out respectively. Secondly, on the basis of this, the relationship between fuzzy sets for design attributes and fuzzy sets for moldability is established by fuzzy rules that are based on domain experts' experience and knowledge. At last the integral moldability for molded parts is obtained through fuzzy reasoning. The neural network based fuzzy reasoning approach presented in this paper can improve fuzzy reasoning efficiency greatly, especially for system having a large number of rules and complicated membership functions. An example for moldability evaluation is given to show the feasibility of this proposed methodology.

  11. Position control of linear induction motor using an adaptive fuzzy integral: Back stepping controller

    Directory of Open Access Journals (Sweden)

    Bousserhane I.K.

    2006-01-01

    Full Text Available In this paper the position control of a linear induction motor using adaptive fuzzy back stepping design with integral action is proposed. First, the indirect field oriented control for LIM is derived. Then, an integral back stepping design for indirect field oriented control of LIM is proposed to compensate the uncertainties which occur in the control. Finally, the fuzzy integral-back stepping controller is investigated, where a simple fuzzy inference mechanism is used to achieve a position tracking objective under the mechanical parameters uncertainties. The effectiveness of the proposed control scheme is verified by numerical simulation. The numerical validation results of the proposed scheme have presented good performances compared to the conventional integral back stepping control.

  12. Fractional order integration and fuzzy logic based filter for denoising of echocardiographic image.

    Science.gov (United States)

    Saadia, Ayesha; Rashdi, Adnan

    2016-12-01

    Ultrasound is widely used for imaging due to its cost effectiveness and safety feature. However, ultrasound images are inherently corrupted with speckle noise which severely affects the quality of these images and create difficulty for physicians in diagnosis. To get maximum benefit from ultrasound imaging, image denoising is an essential requirement. To perform image denoising, a two stage methodology using fuzzy weighted mean and fractional integration filter has been proposed in this research work. In stage-1, image pixels are processed by applying a 3 × 3 window around each pixel and fuzzy logic is used to assign weights to the pixels in each window, replacing central pixel of the window with weighted mean of all neighboring pixels present in the same window. Noise suppression is achieved by assigning weights to the pixels while preserving edges and other important features of an image. In stage-2, the resultant image is further improved by fractional order integration filter. Effectiveness of the proposed methodology has been analyzed for standard test images artificially corrupted with speckle noise and real ultrasound B-mode images. Results of the proposed technique have been compared with different state-of-the-art techniques including Lsmv, Wiener, Geometric filter, Bilateral, Non-local means, Wavelet, Perona et al., Total variation (TV), Global Adaptive Fractional Integral Algorithm (GAFIA) and Improved Fractional Order Differential (IFD) model. Comparison has been done on quantitative and qualitative basis. For quantitative analysis different metrics like Peak Signal to Noise Ratio (PSNR), Speckle Suppression Index (SSI), Structural Similarity (SSIM), Edge Preservation Index (β) and Correlation Coefficient (ρ) have been used. Simulations have been done using Matlab. Simulation results of artificially corrupted standard test images and two real Echocardiographic images reveal that the proposed method outperforms existing image denoising techniques

  13. Designing Integrated Fuzzy Guidance Law for Aerodynamic Homing Missiles Using Genetic Algorithms

    Science.gov (United States)

    Omar, Hanafy M.

    The Fuzzy logic controller (FLC) is well-known for robustness to parameter variations and ability to reject noise. However, its design requires definition of many parameters. This work proposes a systematic and simple procedure to develop an integrated fuzzy-based guidance law which consists of three FLC. Each is activated in a region of the interception. Another fuzzy-based switching system is introduced to allow smooth transition between these controllers. The parameters of all the fuzzy controllers, which include the distribution of the membership functions and the rules, are obtained simply by observing the function of each controller. Furthermore, these parameters are tuned by genetic algorithms by solving an optimization problem to minimize the interception time, missile acceleration commands, and miss distance. The simulation results show that the proposed procedure can generate a guidance law with satisfactory performance.

  14. An Integrated Assessment of Companies Based on Value based Measures in Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    Seyed Reza Seyed Javadin

    2016-06-01

    Full Text Available In today’s world economy, firms focused on the maximization of shareholder value need to ensure that all activities yield positive net present values. Value based financial performance measures have been developed in an attempt to guide management actions towards achieving this objective. In this study, a hybrid approach is proposed for value based financial performance evaluation of automotive parts manufacturer companies of Tehran stock exchange (TSE. For this purpose, in this study based on eight value based measures an integrated fuzzy multi criteria decision making approach is presented for value based financial performance evaluation of companies. In current approach Fuzzy Analytic Hierarchy Process (FAHP is applied to determine the weights of the criteria. Then the companies are ranked by Fuzzy Complex Proportional Assessment (Fuzzy COPRAS, simultaneously. The results represented the importance of each value based measures in financial evaluation of fourteen Iranian companies and ranking companies by applying the proposed approach.

  15. Torque Distribution Strategy for Integrated Starter/ Generator Hybrid Bus Implemented by Fuzzy Algorithm

    Institute of Scientific and Technical Information of China (English)

    ZHONG Hu; AO Guo-qiang; WANG Feng; MA Zi-lin; MAO Xiao-jian; ZHUO Bin

    2008-01-01

    A torque distribution strategy was designed by using fuzzy logic to realize the optimal control. Thevehicle load zones were dynamically divided into several zones by several torque lines to indicate the driversdemand and the high or low efficient operating areas of the diesel engine. The fuzzy logic controller withtrapezoid membership function and Mamdani rule reference mechanism was utilized. There are over 100 rulesused in this fuzzy-based torque distribution strategy which are sorted into four rule-bases. The fuel economyand acceleration tests were designed to test and validate the integrated starter/generator (ISG) bus perfor-mance using fuzzy-based torque distribution strategy. The fuel economy is improved 7.7% compared with therule-based strategy. Finally the road test results reveal that there is about 157% improvement of fuel economy.And the 0-50 km/h acceleration time is 9.5% shorter than the original bus.

  16. An integrated fuzzy-stochastic modeling approach for risk assessment of groundwater contamination.

    Science.gov (United States)

    Li, Jianbing; Huang, Gordon H; Zeng, Guangming; Maqsood, Imran; Huang, Yuefei

    2007-01-01

    An integrated fuzzy-stochastic risk assessment (IFSRA) approach was developed in this study to systematically quantify both probabilistic and fuzzy uncertainties associated with site conditions, environmental guidelines, and health impact criteria. The contaminant concentrations in groundwater predicted from a numerical model were associated with probabilistic uncertainties due to the randomness in modeling input parameters, while the consequences of contaminant concentrations violating relevant environmental quality guidelines and health evaluation criteria were linked with fuzzy uncertainties. The contaminant of interest in this study was xylene. The environmental quality guideline was divided into three different strictness categories: "loose", "medium" and "strict". The environmental-guideline-based risk (ER) and health risk (HR) due to xylene ingestion were systematically examined to obtain the general risk levels through a fuzzy rule base. The ER and HR risk levels were divided into five categories of "low", "low-to-medium", "medium", "medium-to-high" and "high", respectively. The general risk levels included six categories ranging from "low" to "very high". The fuzzy membership functions of the related fuzzy events and the fuzzy rule base were established based on a questionnaire survey. Thus the IFSRA integrated fuzzy logic, expert involvement, and stochastic simulation within a general framework. The robustness of the modeling processes was enhanced through the effective reflection of the two types of uncertainties as compared with the conventional risk assessment approaches. The developed IFSRA was applied to a petroleum-contaminated groundwater system in western Canada. Three scenarios with different environmental quality guidelines were analyzed, and reasonable results were obtained. The risk assessment approach developed in this study offers a unique tool for systematically quantifying various uncertainties in contaminated site management, and it also

  17. Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders.

    Science.gov (United States)

    Vasslides, James M; Jensen, Olaf P

    2016-01-15

    Ecosystem-based approaches, including integrated ecosystem assessments, are a popular methodology being used to holistically address management issues in social-ecological systems worldwide. In this study we utilized fuzzy logic cognitive mapping to develop conceptual models of a complex estuarine system among four stakeholder groups. The average number of categories in an individual map was not significantly different among groups, and there were no significant differences between the groups in the average complexity or density indices of the individual maps. When ordered by their complexity scores, eight categories contributed to the top four rankings of the stakeholder groups, with six of the categories shared by at least half of the groups. While non-metric multidimensional scaling (nMDS) analysis displayed a high degree of overlap between the individual models across groups, there was also diversity within each stakeholder group. These findings suggest that while all of the stakeholders interviewed perceive the subject ecosystem as a complex series of social and ecological interconnections, there are a core set of components that are present in most of the groups' models that are crucial in managing the system towards some desired outcome. However, the variability in the connections between these core components and the rest of the categories influences the exact nature of these outcomes. Understanding the reasons behind these differences will be critical to developing a shared conceptual model that will be acceptable to all stakeholder groups and can serve as the basis for an integrated ecosystem assessment.

  18. Quadrature Rules and Iterative Method for Numerical Solution of Two-Dimensional Fuzzy Integral Equations

    Directory of Open Access Journals (Sweden)

    S. M. Sadatrasoul

    2014-01-01

    Full Text Available We introduce some generalized quadrature rules to approximate two-dimensional, Henstock integral of fuzzy-number-valued functions. We also give error bounds for mappings of bounded variation in terms of uniform modulus of continuity. Moreover, we propose an iterative procedure based on quadrature formula to solve two-dimensional linear fuzzy Fredholm integral equations of the second kind (2DFFLIE2, and we present the error estimation of the proposed method. Finally, some numerical experiments confirm the theoretical results and illustrate the accuracy of the method.

  19. Fuzzy model of the computer integrated decision support and management system in mineral processing

    Directory of Open Access Journals (Sweden)

    Miljanović Igor

    2008-01-01

    Full Text Available During the research on the subject of computer integrated systems for decision making and management support in mineral processing based on fuzzy logic, realized at the Department of Applied Computing and System Engineering of the Faculty of Mining and Geology, University of Belgrade, for the needs of doctoral thesis of the first author, and wider demands of the mineral industry, the incompleteness of the developed and contemporary computer integrated systems fuzzy models was noticed. The paper presents an original model with the seven staged hierarchical monitoring-management structure, in which the shortcomings of the models utilized today were eliminated.

  20. Fuzzy Logic Controller Based Distributed Generation Integration Strategy for Stochastic Performance Improvement

    Directory of Open Access Journals (Sweden)

    Jagdish Prasad Sharma

    2016-01-01

    Full Text Available In the restructured environment, distributed generation (DG is considered as a very promising option due to a high initial capital cost of conventional plants, environmental concerns, and power shortage. Apart from the above, distributed generation (DG has also abilities to improve performance of feeder. Most of the distribution feeders have radial structure, which compel to observe the impact of distributed generations on feeder performance, having different characteristics and composition of time varying static ZIP load models. Two fuzzy-based expert system is proposed for selecting and ranking the most appropriated periods to an integration of distributed generations with a feeder. Madami type fuzzy logic controller was developed for sizing of distributed generation, whereas Sugeno type fuzzy logic controller was developed for the DG location. Input parameters for Madami fuzzy logic controller are substation reserve capacity, feeder power loss to load ratio, voltage unbalance, and apparent power imbalances. DG output, survivability index, and node distance from substation are chosen as input to Sugeno type fuzzy logic controller. The stochastic performance of proposed fuzzy expert systems was evaluated on a modified IEEE 37 node test feeder with 15 minutes characteristics time interval varying static ZIP load models.

  1. ENDOFEM INTEGRATED METHODOLOGY FOR FATIGUE CRACK GROWTH

    Institute of Scientific and Technical Information of China (English)

    C.F.Lee; L.T.Hsiao

    2002-01-01

    In this paper, the FEM with the incremental endochronic cyclic plasticity (EndoFEM) and the rc controlled node-released strategy are employed to study the fatigue crack opened/closed load (Pop) of A1 2024-T3 CCT specimens provided by Mageed and Pandey under several crack lengths and the constant amplitude with various load ratio (R). After statisfactory results are achieved by comparisons of computed Pop values and cited experimental data, the simulations will be extended to the crack lengths with significant bending effect due to short ligaments or high peak (Pmax) or high positive or very low negative R cyclic loads. Through these simulations, the complete map of Pop/Pmax vs. Kmax and R can be constructed and thereafter its correspondant empirical formulae can be proposed. Using these formulae and selecting the traditional fatigue crack growth parameter ΔKeff, the A1 2024-T3 fatigue crack growth rate da/dN vs. ΔK and R data, provided by Hiroshi and Schijve, can be employed to proposed empirical formulae of da/dN vs. ΔKeff and R. After integration, fatigue-crack-growth length a vs. N curves computed by EndoFEM can be obtained. The results are agreed very well with the existing experimental curves. According to the above procedures of simulation and steps of comparions with experiment, this paper may provides an integrate methodology of numerical simulation in the studies of fatigue crack growth for academic and industrial researches and design analysis.

  2. Asymmetries: a fuzzy topic in the process of integration

    Directory of Open Access Journals (Sweden)

    Jaime Alberto Rendón Acevedo

    2012-12-01

    Full Text Available FTAs have gained prominence in the trade policy of Latin American countries to the detriment of other forms of economic integration. In this trend there is a predominance of south-north schemes, where all kinds of asymmetries are evident. The aim of this paper is to demonstrate that the reduction of asymmetries should be a primary goal of the FTAs. The methodology is a review of literature on Latin American FTAs with the United States, particularly those signed by Mexico, Chile and Colombia. As a result, we see that an appropriate treatment of the differences between involved economies is not only desirable for the development of Latin American countries but also it is possible through monetary and industrial policy adjusted to the reality of these countries.

  3. Universal fuzzy integral sliding-mode controllers for stochastic nonlinear systems.

    Science.gov (United States)

    Gao, Qing; Liu, Lu; Feng, Gang; Wang, Yong

    2014-12-01

    In this paper, the universal integral sliding-mode controller problem for the general stochastic nonlinear systems modeled by Itô type stochastic differential equations is investigated. One of the main contributions is that a novel dynamic integral sliding mode control (DISMC) scheme is developed for stochastic nonlinear systems based on their stochastic T-S fuzzy approximation models. The key advantage of the proposed DISMC scheme is that two very restrictive assumptions in most existing ISMC approaches to stochastic fuzzy systems have been removed. Based on the stochastic Lyapunov theory, it is shown that the closed-loop control system trajectories are kept on the integral sliding surface almost surely since the initial time, and moreover, the stochastic stability of the sliding motion can be guaranteed in terms of linear matrix inequalities. Another main contribution is that the results of universal fuzzy integral sliding-mode controllers for two classes of stochastic nonlinear systems, along with constructive procedures to obtain the universal fuzzy integral sliding-mode controllers, are provided, respectively. Simulation results from an inverted pendulum example are presented to illustrate the advantages and effectiveness of the proposed approaches.

  4. Design and Implementation of Fuzzy Logic Controlled Uninterruptible Power Supply Integrating Renewable Solar Energy

    Directory of Open Access Journals (Sweden)

    Angelo A. Beltran Jr.

    2014-03-01

    Full Text Available —The control and operation of electronic systems relies and depends on the availability of the power supply. Rechargeable batteries have been more pervasively used as the energy storage and power source for various electrical and electronic systems and devices, such as communication systems, electronic devices, renewable power systems, electric vehicles, etc. However, the rechargeable batteries are subjected to the availability of the external power source when it is drained out. Because of the concern of battery life, environmental pollution and a possible energy crisis, the renewable solar energy has received an increasing attention in recent years. A fuzzy logic control based grid tied uninterruptible power supply integrating renewable solar energy can be used for electrical and electronic systems to produce power generation. This paper presents the design and implementation of fuzzy logic control based grid tied uninterruptible power supply integrating the renewable solar power energy system. The uninterruptible power supply (UPS system is characterized by the rechargeable battery that is connected with the Photovoltaic Panel through the DC/DC converter, the utility AC through the AC/DC converter and the load is connected through the DC/AC converter. The whole operation is controlled by the fuzzy logic algorithm. A complete hardware prototype system model of the fuzzy logic control based on the grid tied uninterruptible power supply integrating with the renewable solar energy is designed and implemented. The operation and effectiveness of the proposed system is then demonstrated by the actual and real time implementation of the fuzzy logic control grid tied operation uninterruptible power supply integrating renewable solar energy connected to the rechargeable battery bank and a PIC microcontroller platform for fuzzy logic control and operation

  5. Inaccuracy Minimization by Partioning Fuzzy Data Sets - Validation of Analystical Methodology

    CERN Document Server

    Arutchelvan, G; Jagannathan, R

    2010-01-01

    In the last two decades, a number of methods have been proposed for forecasting based on fuzzy time series. Most of the fuzzy time series methods are presented for forecasting of car road accidents. However, the forecasting accuracy rates of the existing methods are not good enough. In this paper, we compared our proposed new method of fuzzy time series forecasting with existing methods. Our method is based on means based partitioning of the historical data of car road accidents. The proposed method belongs to the kth order and time-variant methods. The proposed method can get the best forecasting accuracy rate for forecasting the car road accidents than the existing methods.

  6. KNOWLEDGE INTEGRITY IN METHODOLOGY OF INTELLECTUAL SCIENTIFIC-RESEARCH SYSTEMS

    OpenAIRE

    V. M. Koleshko; A. V. Gulay; V. A. Gulay

    2010-01-01

    The paper analyzes a category of knowledge integrity in philosophical and methodological conception of the intellectual technology. Relationship of knowledge integrity and its uncertainty in the methodology of intellectual scientific research is considered in the paper. The paper  reveals a role of purpose uncertainty of intellectual research process in formation of knowledge integrity properties. An analysis of integrity notion functioning has been executed while considering a problem on rel...

  7. Methodology for allocation of remotely controlled switches in distribution networks based on a fuzzy multi-criteria decision making algorithm

    Energy Technology Data Exchange (ETDEWEB)

    Bernardon, D.P.; Sperandio, M.; Garcia, V.J.; Russi, J. [UNIPAMPA - Federal University of Pampa (Brazil); Canha, L.N.; Abaide, A.R. [UFSM - Federal University of Santa Maria (Brazil); Daza, E.F.B. [AES Sul (Brazil)

    2011-02-15

    Continuity in power supply for the consumers is a permanent concern from the utilities, pursued with the development of technological solutions in order to improve the performance of network restoration conditions. Using remotely controlled switches corresponds to one possible approach to reach such an improvement and giving some convenient remote resources such as the fault detect, isolation and transfer loads. This paper presents a methodology implemented in a computer programming language for allocation these devices in electric distribution systems based on multi-criteria fuzzy analysis. The main contributions are focus on considering the impact of installing remote-controlled switches in the reliability indexes and algorithm of fuzzy multi-criteria decision making for the switches allocation. The effectiveness of the proposed algorithm is demonstrated with case studies involving actual systems of the AES Sul utility located in the south of Brazil. (author)

  8. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface

    Directory of Open Access Journals (Sweden)

    Francesco Cavrini

    2016-01-01

    Full Text Available We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI based on electroencephalography. In particular, we present an ensemble method that can be applied to a variety of systems and evaluate it in the context of a visual P300-based BCI. Offline analysis of data relative to 5 subjects lets us argue that the proposed classification strategy is suitable for BCI. Indeed, the achieved performance is significantly greater than the average of the base classifiers and, broadly speaking, similar to that of the best one. Thus the proposed methodology allows realizing systems that can be used by different subjects without the need for a preliminary configuration phase in which the best classifier for each user has to be identified. Moreover, the ensemble is often capable of detecting uncertain situations and turning them from misclassifications into abstentions, thereby improving the level of safety in BCI for environmental or device control.

  9. PERFORMANCE STUDIES OF INTEGRATED FUZZY LOGIC CONTROLLER FOR BRUSHLESS DC MOTOR DRIVES USING ADVANCED SIMULATION MODEL

    Directory of Open Access Journals (Sweden)

    C. Subba Rami Reddy

    2011-07-01

    Full Text Available This paper introduces an Integrated fuzzy logic controller (IFLC for brushless dc (BLDC motor drives using advanced simulation model and presents a comparative study of performances of PID controller and IFLC. The dynamic characteristics of speed and torque are effectively monitored and analyzed using the proposed model. The aim of IFLC is to obtain improved performance in terms of disturbance rejection or parameter variation than obtained using PID controller. The IFLC is constructed by using Fuzzy logic controller (FLC and PID controller. A performance comparison of the controllers is also given based on the integral of the absolute value of the error (IAE, the integral of the squared error (ISE, the integral of the time-weighted absolute error (ITAE and the integral of the time-weighted squared error (ITSE. The results show the effectiveness of the proposed controller.

  10. Adaptive Fuzzy Integral Sliding-Mode Regulator for Induction Motor Using Nonlinear Sliding Surface

    Directory of Open Access Journals (Sweden)

    Yong-Kun Lu

    2015-02-01

    Full Text Available An adaptive fuzzy integral sliding-mode controller using nonlinear sliding surface is designed for the speed regulator of a field-oriented induction motor drive in this paper. Combining the conventional integral sliding surface with fractional-order integral, a nonlinear sliding surface is proposed for the integral sliding-mode speed control, which can overcome the windup problem and the convergence speed problem. An adaptive fuzzy control term is utilized to approximate the uncertainty. The stability of the controller is analyzed by Lyapunov stability theory. The effectiveness of the proposed speed regulator is demonstrated by the simulation results in comparison with the conventional integral sliding-mode controller based on boundary layer.

  11. Application of Coupled Fixed Point Technique in Solving Integral Equations on Modified Intuitionistic Fuzzy Metric Spaces

    Directory of Open Access Journals (Sweden)

    Bhavana Deshpande

    2014-01-01

    Full Text Available We establish a common coupled fixed point theorem for weakly compatible mappings on modified intuitionistic fuzzy metric spaces. As an application of our result, we study the existence and uniqueness of the solution to a nonlinear Fredholm integral equation. We also give an example to demonstrate our result.

  12. IMPROVING MARKOV RANDOM FIELD BASED SUPER RESOLUTION MAPPING THROUGH FUZZY PARAMETER INTEGRATION

    Directory of Open Access Journals (Sweden)

    D. R . Welikanna

    2012-07-01

    Full Text Available The objective of this study was to improve the Markov Random Field (MRF based Super Resolution Mapping (SRM technique to account for the vague land-cover interpretations (class mixture and the intermediate conditions in an urban area. The algorithm has been improved to integrate the fuzzy mean and fuzzy covariance measurements, to a MRF based SRM scheme to optimize the classification results. The technique was tested on a WORLDVIEW-2 data set, acquired over a highway construction area, in Colombo, Sri Lanka. Based on the visual interpretation of the image, three major land-cover types of this area were identified for the study; those were vegetation, soil and exposed grass and impervious surface with low medium and high albedo. The membership values for each pixel were determined from training samples through Spectral Angle Mapper (SAM technique. The compulsory fuzzy mean and the covariance measurements were derived using these membership grades, and subsequently was applied in MRF based SRM technique. The primary reference data was generated using Maximum Likelihood Classification (MLC performed on the same data which was resampled to 1m resolution. The scale factor was set to be (S = 2, to generate SRM of 1m resolution. The smoothening parameter (λ which balances the prior and likelihood energy terms were tested in the range from 0.3 to 0.9. SRM were generated using fuzzy MRF and the conventional MRF models respectively. Results suggest that the fuzzy integrated model has improved the results with an overall accuracy of 85.60% and kappa value of 0.78 between the optimal results and the reference data, while in the conventional case it was 77.81% of overall accuracy with kappa being 0.65. Among the two MRF models, fuzzy parameter integrated model shows the highest agreement with class fractions from the reference image with a smallest average _MAE (MAE, Mean Absolute Error of 0.03.

  13. Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system

    Energy Technology Data Exchange (ETDEWEB)

    Jahedi, G. [Energy Research Center, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave, Tehran (Iran, Islamic Republic of); Ardehali, M.M., E-mail: ardehali@aut.ac.i [Energy Research Center, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave, Tehran (Iran, Islamic Republic of)

    2011-01-15

    The simplicity in coding the heuristic judgment of experienced operator by means of fuzzy logic can be exploited for enhancement of energy efficiency. Fuzzy logic has been used as an effective tool for scheduling conventional PID controllers gain coefficients (F-PID). However, to search for the most desirable fuzzy system characteristics that allow for best performance of the energy system with minimum energy input, optimization techniques such as genetic algorithm (GA) could be utilized and the control methodology is identified as GA-based F-PID (GA-F-PID). The objective of this study is to examine the performance of PID, F-PID, and GA-F-PID controllers for enhancement of energy efficiency of a dynamic energy system. The performance evaluation of the controllers is accomplished by means of two cost functions that are based on the quadratic forms of the energy input and deviation from a setpoint temperature, referred to as energy and comfort costs, respectively. The GA-F-PID controller is examined in two different forms, namely, global form and local form. For the global form, all possible combinations of fuzzy system characteristics in the search domain are explored by GA for finding the fittest chromosome for all discrete time intervals during the entire operation period. For the local form, however, GA is used in each discrete time interval to find the fittest chromosome for implementation. The results show that the global form GA-F-PID and local form GA-F-PID control methodologies, in comparison with PID controller, achieve higher energy efficiency by lowering energy costs by 51.2%, and 67.8%, respectively. Similarly, the comfort costs for deviation from setpoint are enhanced by 54.4%, and 62.4%, respectively. It is determined that GA-F-PID performs better in local from than global form.

  14. Methodology For The System Integration Of Adaptive Resilience In Armor

    Science.gov (United States)

    2016-09-01

    achieved in an externally reconfigurable fashion; however, this would not make sense because this would create a vulnerability in the armor protection that...complex operating environment, systems engineering, system integration, engineering resilience, resilience theory 15. NUMBER OF PAGES 269 16...each step of the methodology. This methodology makes possible many new applications for integrating adaptive resilience technological systems. These

  15. Performance-Based Adaptive Gradient Descent Optimal Coefficient Fuzzy Sliding Mode Methodology

    OpenAIRE

    Hossein Rezaie; Arman Jahed; Bamdad Boroomand; Farzin Piltan

    2012-01-01

    Design a nonlinear controller for second order nonlinear uncertain dynamical systems is the main challenge in this paper. This paper focuses on the design and analysis of a chattering free Mamdani’s fuzzy-based tuning gradient descent optimal error-based fuzzy sliding mode controller for highly nonlinear dynamic six degrees of freedom robot manipulator, in presence of uncertainties. Conversely, pure sliding mode controller is used in many applications; it has two important drawbacks namely; c...

  16. Using fuzzy logic modelling to simulate farmers’ decision-making on diversification and integration in the Mekong Delta, Vietnam

    NARCIS (Netherlands)

    Bsma, R.; Kaymak, U.; Van den Berg, J.; Udo, H.

    2010-01-01

    To reveal farmers’ motives for on-farm diversification and integration of farming components in the Mekong Delta, Vietnam, we developed a fuzzy logic model (FLM) using a 10-step approach. Farmers’ decision-making was mimicked in a three-layer hierarchical architecture of fuzzy inference systems, usi

  17. Using fuzzy logic modelling to simulate farmers' decision-making on diversification and integration in the Mekong Delta, Vietnam

    NARCIS (Netherlands)

    Bosma, R.H.; Kaymak, U.; Berg, van den J.; Udo, H.M.J.; Verreth, J.A.J.

    2011-01-01

    To reveal farmers’ motives for on-farm diversification and integration of farming components in the Mekong Delta, Vietnam, we developed a fuzzy logic model (FLM) using a 10-step approach. Farmers’ decision-making was mimicked in a three-layer hierarchical architecture of fuzzy inference systems, usi

  18. Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach

    Directory of Open Access Journals (Sweden)

    Gülşen Akman

    2014-01-01

    Full Text Available Nowadays, the demand of third-party logistics provider becomes an increasingly important issue for companies to improve their customer service and to decrease logistics costs. This paper presents an integrated fuzzy approach for the evaluation and selection of 3rd party logistics service providers. This method consists of two techniques: (1 use fuzzy analytic hierarchy process to identify weights of evaluation criteria; (2 apply fuzzy technique for order preference by similarity to ideal solution (TOPSIS method to evaluate and sequence alternatives and to make the final selection. Finally, an actual industrial application is performed in logistics department of a tire manufacturing company. For this, first, eight logistics supplier selection criteria were determined, and then the best alternative among seven logistics service provider companies was selected by the proposed method.

  19. A new fuzzy sliding mode controller for vibration control systems using integrated-structure smart dampers

    Science.gov (United States)

    Dzung Nguyen, Sy; Kim, Wanho; Park, Jhinha; Choi, Seung-Bok

    2017-04-01

    Vibration control systems using smart dampers (SmDs) such as magnetorheological and electrorheological dampers (MRD and ERD), which are classified as the integrated structure-SmD control systems (ISSmDCSs), have been actively researched and widely used. This work proposes a new controller for a class of ISSmDCSs in which high accuracy of SmD models as well as increment of control ability to deal with uncertainty and time delay are to be expected. In order to achieve this goal, two formualtion steps are required; a non-parametric SmD model based on an adaptive neuro-fuzzy inference system (ANFIS) and a novel fuzzy sliding mode controller (FSMC) which can weaken the model error of the ISSmDCSs and hence provide enhanced vibration control performances. As for the formulation of the proposed controller, first, an ANFIS controller is desgned to identify SmDs using the improved control algorithm named improved establishing neuro-fuzzy system (establishing neuro-fuzzy system). Second, a new control law for the FSMC is designed via Lyapunov stability analysis. An application to a semi-active MRD vehicle suspension system is then undertaken to illustrate and evaluate the effectiveness of the proposed control method. It is demonstrated through an experimental realization that the FSMC proposed in this work shows superior vibration control performance of the vehicle suspension compared to other surveyed controller which have similar structures to the FSMC, such as fuzzy logic and sliding mode control.

  20. Associating fuzzy logic, neural networks and multivariable statistic methodologies in the automatic identification of oil reservoir lithologies through well logs

    Energy Technology Data Exchange (ETDEWEB)

    Carrasquilla, Abel [Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Macae, RJ (Brazil). Lab. de Engenharia e Exploracao de Petroleo]. E-mail: abel@lenep.uenf.br; Silva, Jadir da [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Dept. de Geologia; Flexa, Roosevelt [Baker Hughes do Brasil Ltda, Macae, RJ (Brazil)

    2008-07-01

    In this article, we present a new approach to the automatic identification of lithologies using only well log data, which associates fuzzy logic, neural networks and multivariable statistic methods. Firstly, we chose well log data that represents lithological types, as gamma rays (GR) and density (RHOB), and, immediately, we applied a fuzzy logic algorithm to determine optimal number of clusters. In the following step, a competitive neural network is developed, based on Kohonen's learning rule, where the input layer is composed of two neurons, which represent the same number of used logs. On the other hand, the competitive layer is composed by several neurons, which have the same number of clusters as determined by the fuzzy logic algorithm. Finally, some data bank elements of the lithological types are selected at random to be the discriminate variables, which correspond to the input data of the multigroup discriminate analysis program. In this form, with the application of this methodology, the lithological types were automatically identified throughout the a well of the Namorado Oil Field, Campos Basin, which presented some difficulty in the results, mainly because of geological complexity of this field. (author)

  1. A feasibility investigation for modeling and optimization of temperature in bone drilling using fuzzy logic and Taguchi optimization methodology.

    Science.gov (United States)

    Pandey, Rupesh Kumar; Panda, Sudhansu Sekhar

    2014-11-01

    Drilling of bone is a common procedure in orthopedic surgery to produce hole for screw insertion to fixate the fracture devices and implants. The increase in temperature during such a procedure increases the chances of thermal invasion of bone which can cause thermal osteonecrosis resulting in the increase of healing time or reduction in the stability and strength of the fixation. Therefore, drilling of bone with minimum temperature is a major challenge for orthopedic fracture treatment. This investigation discusses the use of fuzzy logic and Taguchi methodology for predicting and minimizing the temperature produced during bone drilling. The drilling experiments have been conducted on bovine bone using Taguchi's L25 experimental design. A fuzzy model is developed for predicting the temperature during orthopedic drilling as a function of the drilling process parameters (point angle, helix angle, feed rate and cutting speed). Optimum bone drilling process parameters for minimizing the temperature are determined using Taguchi method. The effect of individual cutting parameters on the temperature produced is evaluated using analysis of variance. The fuzzy model using triangular and trapezoidal membership predicts the temperature within a maximum error of ±7%. Taguchi analysis of the obtained results determined the optimal drilling conditions for minimizing the temperature as A3B5C1.The developed system will simplify the tedious task of modeling and determination of the optimal process parameters to minimize the bone drilling temperature. It will reduce the risk of thermal osteonecrosis and can be very effective for the online condition monitoring of the process.

  2. A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting

    Directory of Open Access Journals (Sweden)

    KAMPOUROPOULOS, K.

    2014-02-01

    Full Text Available This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS and Genetic Algorithms (GA. The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.

  3. Fuzzy Integral-Based Gaze Control of a Robotic Head for Human Robot Interaction.

    Science.gov (United States)

    Yoo, Bum-Soo; Kim, Jong-Hwan

    2015-09-01

    During the last few decades, as a part of effort to enhance natural human robot interaction (HRI), considerable research has been carried out to develop human-like gaze control. However, most studies did not consider hardware implementation, real-time processing, and the real environment, factors that should be taken into account to achieve natural HRI. This paper proposes a fuzzy integral-based gaze control algorithm, operating in real-time and the real environment, for a robotic head. We formulate the gaze control as a multicriteria decision making problem and devise seven human gaze-inspired criteria. Partial evaluations of all candidate gaze directions are carried out with respect to the seven criteria defined from perceived visual, auditory, and internal inputs, and fuzzy measures are assigned to a power set of the criteria to reflect the user defined preference. A fuzzy integral of the partial evaluations with respect to the fuzzy measures is employed to make global evaluations of all candidate gaze directions. The global evaluation values are adjusted by applying inhibition of return and are compared with the global evaluation values of the previous gaze directions to decide the final gaze direction. The effectiveness of the proposed algorithm is demonstrated with a robotic head, developed in the Robot Intelligence Technology Laboratory at Korea Advanced Institute of Science and Technology, through three interaction scenarios and three comparison scenarios with another algorithm.

  4. Determining the number of kanbans for dynamic production systems: An integrated methodology

    Directory of Open Access Journals (Sweden)

    Özlem Uzun Araz

    2016-08-01

    Full Text Available Just-in-time (JIT is a management philosophy that reduces the inventory levels and eliminates manufacturing wastes by producing only the right quantity at the right time. A kanban system is one of the key elements of JIT philosophy. Kanbans are used to authorize production and to control movement of materials in JIT systems. In Kanban systems, the efficiency of the manufacturing system depends on several factors such as number of kanbans, container size etc. Hence, determining the number of kanbans is a critical decision in Kanban systems. The aim of this study is to develop a methodology that can be used in order to determine the number of kanbans in a dynamic production environment. In this methodology, the changes in system state is monitored in real time manner, and the number of the kanbans are dynamically re-arranged. The proposed methodology integrates simulation, neural networks and Mamdani type fuzzy inference system. The methodology is modelled in simulation environment and applied on a hypothetic production system. We also performed several comparisons for different control policies to show the effectiveness of the proposed methodology.

  5. Fuzzy comprehensive evaluation for grid-connected performance of integrated distributed PV-ES systems

    Science.gov (United States)

    Lv, Z. H.; Li, Q.; Huang, R. W.; Liu, H. M.; Liu, D.

    2016-08-01

    Based on the discussion about topology structure of integrated distributed photovoltaic (PV) power generation system and energy storage (ES) in single or mixed type, this paper focuses on analyzing grid-connected performance of integrated distributed photovoltaic and energy storage (PV-ES) systems, and proposes a comprehensive evaluation index system. Then a multi-level fuzzy comprehensive evaluation method based on grey correlation degree is proposed, and the calculations for weight matrix and fuzzy matrix are presented step by step. Finally, a distributed integrated PV-ES power generation system connected to a 380 V low voltage distribution network is taken as the example, and some suggestions are made based on the evaluation results.

  6. Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

    OpenAIRE

    2011-01-01

    When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this regard, this paper presents the application of extended Kalman filter for the parametric adaptation of a fuzzy model.

  7. Fuzzy Cognitive Maps for futures studies : a methodological assessment of concepts and methods

    NARCIS (Netherlands)

    Jetter, J.J.; Kok, K.

    2014-01-01

    Fuzzy Cognitive Map (FCM) modelling is highly suitable for the demands of future studies: it uses a mix of qualitative and quantitative approaches, it enables the inclusion of multiple and diverse sources to overcome the limitations of expert opinions, it considers multivariate interactions that lea

  8. Fuzzy Cognitive Maps for futures studies : a methodological assessment of concepts and methods

    NARCIS (Netherlands)

    Jetter, J.J.; Kok, K.

    2014-01-01

    Fuzzy Cognitive Map (FCM) modelling is highly suitable for the demands of future studies: it uses a mix of qualitative and quantitative approaches, it enables the inclusion of multiple and diverse sources to overcome the limitations of expert opinions, it considers multivariate interactions that

  9. A dynamic multimedia fuzzy-stochastic integrated environmental risk assessment approach for contaminated sites management.

    Science.gov (United States)

    Hu, Yan; Wen, Jing-Ya; Li, Xiao-Li; Wang, Da-Zhou; Li, Yu

    2013-10-15

    A dynamic multimedia fuzzy-stochastic integrated environmental risk assessment approach was developed for contaminated sites management. The contaminant concentrations were simulated by a validated interval dynamic multimedia fugacity model, and different guideline values for the same contaminant were represented as a fuzzy environmental guideline. Then, the probability of violating environmental guideline (Pv) can be determined by comparison between the modeled concentrations and the fuzzy environmental guideline, and the constructed relationship between the Pvs and environmental risk levels was used to assess the environmental risk level. The developed approach was applied to assess the integrated environmental risk at a case study site in China, simulated from 1985 to 2020. Four scenarios were analyzed, including "residential land" and "industrial land" environmental guidelines under "strict" and "loose" strictness. It was found that PAH concentrations will increase steadily over time, with soil found to be the dominant sink. Source emission in soil was the leading input and atmospheric sedimentation was the dominant transfer process. The integrated environmental risks primarily resulted from petroleum spills and coke ovens, while the soil environmental risks came from coal combustion. The developed approach offers an effective tool for quantifying variability and uncertainty in the dynamic multimedia integrated environmental risk assessment and the contaminated site management.

  10. Risk management of BTEX contamination in ground water--an integrated fuzzy approach.

    Science.gov (United States)

    Qin, X S; Huang, G H; Li, Y P

    2008-01-01

    Abstract An integrated fuzzy simulation-assessment method (FSAM) was developed for assessing environmental risks from petroleum hydrocarbon contamination in ground water. In the FSAM, techniques of fuzzy simulation and fuzzy risk assessment were coupled into a general framework to reflect a variety of system uncertainties. A petroleum-contaminated site located in western Canada was selected as a study case for demonstrating applicability of the proposed method. The risk assessment results demonstrated that system uncertainties would significantly impact expressions of risk-level outputs. A relatively deterministic expression of the risks would have clearer representations of the study problem but may miss valuable uncertain information; conversely, an assessment under vaguer system conditions would help reveal potential consequences of adverse effects but would suffer from a higher degree of fuzziness in presenting the modeling outputs. Based on the risk assessment results, a decision analysis procedure was used to calculate a general risk index (GRI) to help identify proper responsive actions. The proposed method was useful for evaluating risks within a system containing multiple factors with complicated uncertainties and interactions and providing support for identifying proper site management strategies.

  11. Applying Fuzzy Multiobjective Integrated Logistics Model to Green Supply Chain Problems

    Directory of Open Access Journals (Sweden)

    Chui-Yu Chiu

    2014-01-01

    Full Text Available The aim of this paper is attempting to explore the optimal way of supply chain management within the domain of environmental responsibility and concerns. The background of this research involves the issue of green supply chain management (GSCM and the concept of the multiobjective integrated logistics model. More specifically, in this paper, we suggest the fuzzy multiobjective integrated logistics model with the transportation cost and demand fuzziness to solve green supply chain problems in the uncertain environment which is illustrated via the detailed numerical example. Results and the sensitivity analysis of the numerical example indicate that when the governmental subsidy value increased the profits of the reverse chain also increased. The finding shows that the governmental subsidy policy could remain of significant influence for used-product reverse logistics chain.

  12. Optimal Partner Combination for Joint Distribution Alliance using Integrated Fuzzy EW-AHP and TOPSIS for Online Shopping

    Directory of Open Access Journals (Sweden)

    Yandong He

    2016-04-01

    Full Text Available With the globalization of online shopping, deterioration of the ecological environment and the increasing pressure of urban transportation, a novel logistics service mode—joint distribution (JD—was developed. Selecting the optimal partner combination is important to ensure the joint distribution alliance (JDA is sustainable and stable, taking into consideration conflicting criteria. In this paper, we present an integrated fuzzy entropy weight, fuzzy analytic hierarchy process (fuzzy EW-AHP and fuzzy technique for order preference by similarity to an ideal solution (TOPSIS approach to select the optimal partner combination of JDA. A three-phase approach is proposed. In the first phase, we identify partner combination evaluation criteria using an economy-society-environment-flexibility (ESEF framework from a perspective that considers sustainability. In the second phase, the criteria weights and criteria combination performance of different partner combinations were calculated by using an integrated fuzzy EW-AHP approach considering the objective and subjective factors of experts. In the third phase, the JDA partner combinations are ranked by employing fuzzy TOPSIS approach. The sensitivity analysis is considered for the optimal partner combination. Taking JDA in Chongqing for example, the results indicate the alternative partner combination 3 (PC3 is always ranked first no matter how the criteria weights change. It is effective and robust to apply the integrated fuzzy EW-AHP and TOPSIS approach to the partner selection of JDA.

  13. An Integrated Intuitionistic Fuzzy Multi Criteria Decision Making Method for Facility Location Selection

    OpenAIRE

    BORAN, Fatih

    2011-01-01

    The facility location selection, which is one of the important activities in strategic planning for a wide range of private and public companies, is a multi-criteria decision making problem including both quantitative and qualitative criteria. Traditional methods for facility location selection can not be effectively handled because information can not be represented by precise information under many conditions. This paper proposes the integration of intuitionistic fuzzy preference relation a...

  14. A hybrid design methodology for structuring an Integrated Environmental Management System (IEMS) for shipping business.

    Science.gov (United States)

    Celik, Metin

    2009-03-01

    The International Safety Management (ISM) Code defines a broad framework for the safe management and operation of merchant ships, maintaining high standards of safety and environmental protection. On the other hand, ISO 14001:2004 provides a generic, worldwide environmental management standard that has been utilized by several industries. Both the ISM Code and ISO 14001:2004 have the practical goal of establishing a sustainable Integrated Environmental Management System (IEMS) for shipping businesses. This paper presents a hybrid design methodology that shows how requirements from both standards can be combined into a single execution scheme. Specifically, the Analytic Hierarchy Process (AHP) and Fuzzy Axiomatic Design (FAD) are used to structure an IEMS for ship management companies. This research provides decision aid to maritime executives in order to enhance the environmental performance in the shipping industry.

  15. Adaptive fuzzy integral sliding mode velocity controlfor the cutting system of a trench cutte~

    Institute of Scientific and Technical Information of China (English)

    Qi-yan TIAN; Jian-hua WEI; Jin-hui FANG; Kai GUO

    2016-01-01

    This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter's dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con- troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.

  16. Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter

    Institute of Scientific and Technical Information of China (English)

    Qi-yan TIAN; Jian-hua WEI; Jin-hui FANG‡; Kai GUO

    2016-01-01

    This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter’s dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity con-troller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.

  17. Integrated Methodology for Software Reliability Analysis

    Directory of Open Access Journals (Sweden)

    Marian Pompiliu CRISTESCU

    2012-01-01

    Full Text Available The most used techniques to ensure safety and reliability of the systems are applied together as a whole, and in most cases, the software components are usually overlooked or to little analyzed. The present paper describes the applicability of fault trees analysis software system, analysis defined as Software Fault Tree Analysis (SFTA, fault trees are evaluated using binary decision diagrams, all of these being integrated and used with help from Java library reliability.

  18. Deriving Photometric Redshifts using Fuzzy Archetypes and Self-Organizing Maps. I. Methodology

    CERN Document Server

    Speagle, Joshua S

    2015-01-01

    We propose a method to substantially increase the flexibility and power of template fitting-based photometric redshifts by transforming a large numbers of galaxy spectral templates into a corrresponding collection of "fuzzy archetypes" using a suitable set of perturbative priors designed to account for empirical variation in dust attenuation and emission line strengths. To bypass widely seperated degeneracies in parameter space (e.g., the redshift-reddening degeneracy), we train Self-Organizing Maps (SOMs) on a large "model catalogs" generated from appropriate Monte Carlo sampling of our fuzzy archetypes to cluster the predicted observables in a topologically smooth fashion. Subsequent sampling over the SOM then allows full reconstruction of the relevant probability distribution functions (PDFs) using the associated set of inverse mappings from the SOM to the underlying model parameters. This combined approach enables the multi-modal exploration of known variation among galaxy spectral energy distributions (S...

  19. Elimination & Mitigation of Sag & Swell Using a New UPQC-S Methodology & Fuzzy Logic Controller

    Directory of Open Access Journals (Sweden)

    Kanaka Raju Kalla,

    2014-05-01

    Full Text Available This paper presents the enhancement of voltage sags, harmonic distortion and low power factor using Unified Power Quality Conditioner (UPQC with Fuzzy Logic Controller in distribution system, The series inverter of UPQC is controlled to perform simultaneous 1 voltage sag/swell compensation and 2 load reactive power sharing with the shunt inverter. Since the series inverter simultaneously delivers active and reactive powers, this concept is named as UPQC-S (S for complex power in this paper; a detailed mathematical formulation of PAC for UPQC-S is carried out. In this paper details are carried out on both series inverter & shunt inverter, and fuzzy logic controller is applied to shunt inverter in order to dc fluctuations and to compensate reactive power. The feasibility and effectiveness of the proposed UPQC-S approach are validated by simulation in using MATLAB software.

  20. KNOWLEDGE INTEGRITY IN METHODOLOGY OF INTELLECTUAL SCIENTIFIC-RESEARCH SYSTEMS

    Directory of Open Access Journals (Sweden)

    V. M. Koleshko

    2010-01-01

    Full Text Available The paper analyzes a category of knowledge integrity in philosophical and methodological conception of the intellectual technology. Relationship of knowledge integrity and its uncertainty in the methodology of intellectual scientific research is considered in the paper. The paper  reveals a role of purpose uncertainty of intellectual research process in formation of knowledge integrity properties. An analysis of integrity notion functioning has been executed while considering a problem on relationship of general and partial components. The paper shows changes in the given relationship while making transition from value-orientated research process to purpose-orientated scientific investigation. Determination of diffusion, differentiated and integrated knowledge integrity is shown at various stages of intellectual scientific research.

  1. METHODOLOGY FRAMEWORK FOR PROCESS INTEGRATION AND SERVICE MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Darko Galinec

    2007-06-01

    Full Text Available History of information systems development was driven by business system's functions automation and mergers and acquisitions - business subjects integration into a whole. Modern business requires business processes integration through their dynamics and thus enterprise application integration (EAI as well. In this connection it is necessary to find ways and means of application integration and interaction in a consistent and reliable way. The real-time enterprise (RTE monitors, captures and analyzes root causes and overt events that are critical to its success the instant those events occur [6]. EAI is determined by business needs and business requirements. It must be based on business process repository and models, business integration methodology (BIM and information flow as well. Decisions concerning technology must be in function of successful application integration. In this paper EAI methodological framework and technological concepts for its achievements are introduced.

  2. Utilization integrated Fuzzy-QFD and TOPSIS approach in supplier selection

    Directory of Open Access Journals (Sweden)

    2016-02-01

    Full Text Available Supplier selection is a typical multi-attribute problem that involves both qualitative and quantitative factors. To deal with this problem, different techniques have suggested. Being based on purely mathematical data, these techniques have significant drawbacks especially when we want to consider qualitative factors, which are very important in supplier selection and are not easy to measure. Some innovative approaches, based on artificial intelligence techniques such as Fuzzy Logic match very well with decision-making situations especially when decision makers express heterogeneous judgments. In this research, by the combination of Fuzzy logic and the House of Quality (HOQ, qualitative criteria are considered in the forward parts of car suppliers’ selection process in Sazehgostar SAIPA Company. Then, TOPSIS technique is adopted to consider quantitative metrics. Finally, by combining of Fuzzy QFD and TOPSIS techniques, these suppliers will be selected and ranked in this Company. Concern to the both qualitative and quantitative criteria, is the important point used in this research and also methodology utilized, counts innovative aspect. Limited number of experts associated with each piece and unavailability of some quantitative criteria has been limitations across of this study’s accomplishment.

  3. A New Optimization Model about Enterprise Equipment Investment Project based on Integrated Entropy Weight and Fuzzy Matter Element

    Directory of Open Access Journals (Sweden)

    Bai Xiaoping

    2012-09-01

    Full Text Available The equipment investment scheme evaluation of enterprise is usually multi-objective optimization problem affected by many factors. Among many optimization methods, the common fuzzy matter element is based on the matter-element analysis and combined with the concepts of fuzzy mathematics, which can reflect the subjective fuzzy judgment; the common entropy weight method makes use of the judgment matrix composed of evaluation index value, Weights gotten by the common entropy weight method mainly reflects usefulness of data and can't reflect actual importance of evaluation indexes. Considering this fact, this study integrates engineering economics, reliability theory, fuzzy matter element and entropy theory presents a new optimization model about enterprise equipment investment project and also presents detailed methods and steps of application of integrated model in concrete example, which can offer the reference for project investment activity of practical enterprise equipment.

  4. On the Power of Fuzzy Markup Language

    CERN Document Server

    Loia, Vincenzo; Lee, Chang-Shing; Wang, Mei-Hui

    2013-01-01

    One of the most successful methodology that arose from the worldwide diffusion of Fuzzy Logic is Fuzzy Control. After the first attempts dated in the seventies, this methodology has been widely exploited for controlling many industrial components and systems. At the same time, and very independently from Fuzzy Logic or Fuzzy Control, the birth of the Web has impacted upon almost all aspects of computing discipline. Evolution of Web, Web 2.0 and Web 3.0 has been making scenarios of ubiquitous computing much more feasible;  consequently information technology has been thoroughly integrated into everyday objects and activities. What happens when Fuzzy Logic meets Web technology? Interesting results might come out, as you will discover in this book. Fuzzy Mark-up Language is a son of this synergistic view, where some technological issues of Web are re-interpreted taking into account the transparent notion of Fuzzy Control, as discussed here.  The concept of a Fuzzy Control that is conceived and modeled in terms...

  5. Adaptive Hybrid Fuzzy-Proportional Plus Crisp-Integral Current Control Algorithm for Shunt Active Power Filter Operation

    Directory of Open Access Journals (Sweden)

    Nor Farahaida Abdul Rahman

    2016-09-01

    Full Text Available An adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm (CCA for regulating supply current and enhancing the operation of a shunt active power filter (SAPF is presented. It introduces a unique integration of fuzzy-proportional (Fuzzy-P and crisp-integral (Crisp-I current controllers. The Fuzzy-P current controller is developed to perform gain tuning procedure and proportional control action. This controller inherits the simplest configuration; it is constructed using a single-input single-output fuzzy rule configuration. Thus, an execution of few fuzzy rules is sufficient for the controller’s operation. Furthermore, the fuzzy rule is developed using the relationship of currents only. Hence, it simplifies the controller development. Meanwhile, the Crisp-I current controller is developed to perform integral control action using a controllable gain value; to improve the steady-state control mechanism. The gain value is modified and controlled using the Fuzzy-P current controller’s output variable. Therefore, the gain value will continuously be adjusted at every sample period (or throughout the SAPF operation. The effectiveness of the proposed CCA in regulating supply current is validated in both simulation and experimental work. All results have proven that the SAPF using the proposed CCA is capable to regulate supply current during steady-state and dynamic-state operations. At the same time, the SAPF is able to enhance its operation in compensating harmonic currents and reactive power. Furthermore, the implementation of the proposed CCA has resulted more stable dc-link voltage waveform.

  6. Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

    Directory of Open Access Journals (Sweden)

    Masoud Rezaei

    2013-10-01

    Full Text Available In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts are significant portion of products in most manufacturing firms. Supplier selection and evaluation have been widely recognized to be one of the most substantial issues on material purchasing. In order to choose reliable suppliers it is necessary to have a trade-off between some tangible and intangible factors where some of them are in serious conflict. In this paper, an integrated technique of analytical network process improved by VIKOR and fuzzy sets theory and multi-objective mixed integer nonlinear programming is proposed to determine the appropriate suppliers. The proposed model of this paper also determines the order quantity allocated to each supplier in the case of multiple sourcing, multiple products and multi-period time horizon for an Iranian cable company.

  7. A methodology for integrating sustainability considerations into process design

    OpenAIRE

    Azapagic, A.; Millington, A.; Collett, A

    2006-01-01

    Designing more sustainable processes is one of the key challenges for sustainable development of the chemical industry. This is by no means a trivial task as it requires translating the theoretical principles of sustainable development into design practice. At present, there is no general methodology to guide sustainable process design and almost no practical experience. In an attempt to contribute to this emerging area, this paper proposes a new methodology for integrating sustainability con...

  8. Networks as integrated in research methodologies in PER

    DEFF Research Database (Denmark)

    Bruun, Jesper

    2016-01-01

    In recent years a number of researchers within the PER community have started using network analysis as a new methodology to extend our understanding of teaching and learning physics by viewing these as complex systems. In this paper, I give examples of social, cognitive, and action mapping...... networks and how they can be analyzed. In so doing I show how a network can be methodologically described as a set of relations between a set of entities, and how a network can be characterized and analyzed as a mathematical object. Then, as an illustrative example, I discuss a relatively new example...... of using networks to create insightful maps of learning discussions. To conclude, I argue that conceptual blending is a powerful framework for constructing "mixed methods" methodologies that may integrate diverse theories and other methodologies with network methodologies....

  9. Fuzzy image processing and applications with Matlab

    CERN Document Server

    Chaira, Tamalika

    2009-01-01

    In contrast to classical image analysis methods that employ ""crisp"" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge.Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging,

  10. An integrated supply chain model for the perishable items with fuzzy production rate and fuzzy demand rate

    Directory of Open Access Journals (Sweden)

    Singh Chaman

    2011-01-01

    Full Text Available In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the importance of a long-term strategic relationship between the manufacturer, distributor and retailer. In the present paper, a model has been developed by assuming that the demand rate and production rate as triangular fuzzy numbers and items deteriorate at a constant rate. The expressions for the average inventory cost are obtained both in crisp and fuzzy sense. The fuzzy model is defuzzified using the fuzzy extension principle, and its optimization with respect to the decision variable is also carried out. Finally, an example is given to illustrate the model and sensitivity analysis is performed to study the effect of parameters.

  11. Recruitment recommendation system based on fuzzy measure and indeterminate integral

    Science.gov (United States)

    Yin, Xin; Song, Jinjie

    2017-08-01

    In this study, we propose a comprehensive evaluation approach based on indeterminate integral. By introducing the related concepts of indeterminate integral and their formulas into the recruitment recommendation system, we can calculate the suitability of each job for different applicants with the defined importance for each criterion listed in the job advertisements, the association between different criteria and subjective assessment as the prerequisite. Thus we can make recommendations to the applicants based on the score of the suitability of each job from high to low. In the end, we will exemplify the usefulness and practicality of this system with samples.

  12. Deriving photometric redshifts using fuzzy archetypes and self-organizing maps - I. Methodology

    Science.gov (United States)

    Speagle, Joshua S.; Eisenstein, Daniel J.

    2017-07-01

    We propose a method to substantially increase the flexibility and power of template fitting-based photometric redshifts by transforming a large number of galaxy spectral templates into a corresponding collection of 'fuzzy archetypes' using a suitable set of perturbative priors designed to account for empirical variation in dust attenuation and emission-line strengths. To bypass widely separated degeneracies in parameter space (e.g. the redshift-reddening degeneracy), we train self-organizing maps (SOMs) on large 'model catalogues' generated from Monte Carlo sampling of our fuzzy archetypes to cluster the predicted observables in a topologically smooth fashion. Subsequent sampling over the SOM then allows full reconstruction of the relevant probability distribution functions (PDFs). This combined approach enables the multimodal exploration of known variation among galaxy spectral energy distributions with minimal modelling assumptions. We demonstrate the power of this approach to recover full redshift PDFs using discrete Markov chain Monte Carlo sampling methods combined with SOMs constructed from Large Synoptic Survey Telescope ugrizY and Euclid YJH mock photometry.

  13. Adaptive neuro-fuzzy inference system for real-time monitoring of integrated-constructed wetlands.

    Science.gov (United States)

    Dzakpasu, Mawuli; Scholz, Miklas; McCarthy, Valerie; Jordan, Siobhán; Sani, Abdulkadir

    2015-01-01

    Monitoring large-scale treatment wetlands is costly and time-consuming, but required by regulators. Some analytical results are available only after 5 days or even longer. Thus, adaptive neuro-fuzzy inference system (ANFIS) models were developed to predict the effluent concentrations of 5-day biochemical oxygen demand (BOD5) and NH4-N from a full-scale integrated constructed wetland (ICW) treating domestic wastewater. The ANFIS models were developed and validated with a 4-year data set from the ICW system. Cost-effective, quicker and easier to measure variables were selected as the possible predictors based on their goodness of correlation with the outputs. A self-organizing neural network was applied to extract the most relevant input variables from all the possible input variables. Fuzzy subtractive clustering was used to identify the architecture of the ANFIS models and to optimize fuzzy rules, overall, improving the network performance. According to the findings, ANFIS could predict the effluent quality variation quite strongly. Effluent BOD5 and NH4-N concentrations were predicted relatively accurately by other effluent water quality parameters, which can be measured within a few hours. The simulated effluent BOD5 and NH4-N concentrations well fitted the measured concentrations, which was also supported by relatively low mean squared error. Thus, ANFIS can be useful for real-time monitoring and control of ICW systems.

  14. Set-valued and fuzzy stochastic integral equations driven by semimartingales under Osgood condition

    Directory of Open Access Journals (Sweden)

    Malinowski Marek T.

    2015-01-01

    Full Text Available We analyze the set-valued stochastic integral equations driven by continuous semimartingales and prove the existence and uniqueness of solutions to such equations in the framework of the hyperspace of nonempty, bounded, convex and closed subsets of the Hilbert space L2 (consisting of square integrable random vectors. The coefficients of the equations are assumed to satisfy the Osgood type condition that is a generalization of the Lipschitz condition. Continuous dependence of solutions with respect to data of the equation is also presented. We consider equations driven by semimartingale Z and equations driven by processes A;M from decomposition of Z, where A is a process of finite variation and M is a local martingale. These equations are not equivalent. Finally, we show that the analysis of the set-valued stochastic integral equations can be extended to a case of fuzzy stochastic integral equations driven by semimartingales under Osgood type condition. To obtain our results we use the set-valued and fuzzy Maruyama type approximations and Bihari’s inequality.

  15. Qualitative case study methodology in nursing research: an integrative review.

    Science.gov (United States)

    Anthony, Susan; Jack, Susan

    2009-06-01

    This paper is a report of an integrative review conducted to critically analyse the contemporary use of qualitative case study methodology in nursing research. Increasing complexity in health care and increasing use of case study in nursing research support the need for current examination of this methodology. In 2007, a search for case study research (published 2005-2007) indexed in the CINAHL, MEDLINE, EMBASE, PsychINFO, Sociological Abstracts and SCOPUS databases was conducted. A sample of 42 case study research papers met the inclusion criteria. Whittemore and Knafl's integrative review method guided the analysis. Confusion exists about the name, nature and use of case study. This methodology, including terminology and concepts, is often invisible in qualitative study titles and abstracts. Case study is an exclusive methodology and an adjunct to exploring particular aspects of phenomena under investigation in larger or mixed-methods studies. A high quality of case study exists in nursing research. Judicious selection and diligent application of literature review methods promote the development of nursing science. Case study is becoming entrenched in the nursing research lexicon as a well-accepted methodology for studying phenomena in health and social care, and its growing use warrants continued appraisal to promote nursing knowledge development. Attention to all case study elements, process and publication is important in promoting authenticity, methodological quality and visibility.

  16. DESIGNING OF TWO NEW FUZZY CONTROLLERS WITH ERROR INTEGRAL AND THEIR APPLICATIONS IN FOLLOWING CONTROL OF WARSHIP-GUNS

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Two new fuzzy controllers are designed,one's control rules are adjusted by error integral,another are with feedforward of error integral. If only the control rules and parameters are selected felicitously,the static errors of the system will be eliminated. The test results show that the controllers can assuredly improve static performances of the controlled system.

  17. Model for qualitative evaluation of risk in ducts through the fuzzy logic in conformity with the methodology of IBR; Modelo para avaliacao qualitativa do risco em oleodutos atraves da logica fuzzy segundo a metodologia da IBR

    Energy Technology Data Exchange (ETDEWEB)

    Mishina, Koje Daniel Vasconcelos [Centro Federal de Educacao Tecnologica da Bahia (CEFET-BA), Salvador, BA (Brazil); Silva, Jose Felicio da; Silva, Joao Bosco de Aquino [Universidade Federal da Paraiba (UFPb), Joao Pessoa, PB (Brazil)

    2006-07-01

    This work considers a system for qualitative evaluation of the terrestrial risk in pipelines, based in the methodology of the Inspection Based on Risk and the Fuzzy Logic. For this one developed a matrix of risk associated with the oil transport and its derivatives, that define the type of tracking and the regularity of inspection with Pig Instrumented in function of the level of risk found in the stretch in study. This matrix of risk considers the probabilities and the consequences associates to the damage for corrosion. The evaluation of the considered system was based on the consistency of the found levels of risk, in relation to that it would be found in the practical one. The gotten results had demonstrated that the use of the methodology of the IBR and the Fuzzy Logic can be used jointly as one sufficiently efficient alternative technique in the evaluation of risk in corroded pipe-lines. (author)

  18. AN INTEGRATED METHODOLOGY FOR CUSTOMER RELATIONSHIP MANAGEMENT CUSTOMIZATION

    Directory of Open Access Journals (Sweden)

    Ricardo Colomo Palacios

    2008-02-01

    Full Text Available The importance and presence of technological solutions in organizations supporting CRM are a vital business fact from the late nineties. Presently, the manufacturers figure in the market has dramatically decreased because of continuous takeovers and merges, but it has on the other hand gained momentum because of the sudden open-source and on-demand solutions appearance. In this scope, a unified methodology centered on CRM solutions is of paramount importance since it has traditionally been linked to either system integration or overall solution design. Based on the two de-facto complementary standards for the implementation and development of Information Systems, namely the ESA and Dyché CRM systems implementation methodology, in this paper, we provide a CRM business solutions customization methodology which pertains independently to the integration and tool maker perspective.

  19. Integrating Shamanic Methodology into the Spirituality of Addictions Recovery Work

    Science.gov (United States)

    Rich, Marcia L.

    2012-01-01

    Responding to an increased recognition of the importance of spirituality in the aetiology and treatment of addictions, this article provides an overview of the potential contributions of both transpersonal psychology and shamanic methodology for the addictions field. A case study is provided to illustrate the integration of conventional,…

  20. Integrating Shamanic Methodology into the Spirituality of Addictions Recovery Work

    Science.gov (United States)

    Rich, Marcia L.

    2012-01-01

    Responding to an increased recognition of the importance of spirituality in the aetiology and treatment of addictions, this article provides an overview of the potential contributions of both transpersonal psychology and shamanic methodology for the addictions field. A case study is provided to illustrate the integration of conventional,…

  1. Integral Methodological Pluralism in Science Education Research: Valuing Multiple Perspectives

    Science.gov (United States)

    Davis, Nancy T.; Callihan, Laurie P.

    2013-01-01

    This article examines the multiple methodologies used in educational research and proposes a model that includes all of them as contributing to understanding educational contexts and research from multiple perspectives. The model, based on integral theory (Wilber in a theory of everything. Shambhala, Boston, 2000) values all forms of research as…

  2. Robot Reliability Using Petri Nets and Fuzzy Lambda-Tau Methodology

    CERN Document Server

    Kumar, Ajay; Kumar, Dinesh

    2009-01-01

    Robot reliability has become an increasingly important issue in the last few years due to increased application of robots in many industries (like automobile industry) under hazardous and unstructured environment. As the component failure behavior is dependent on configuration and environment, the available information about the constituent component of robots is most of the time imprecise, incomplete, vague and conflicting and so it is very difficult to analyze their behavior and to predict their failure pattern. The reliability analysis of any system provides an understanding about the likelihood of failures occurring in the system/component and the increased insight about its inherent weakness. The objective of this paper is to quantify the uncertainties that makes the decision more realistic, generic and extendable to application domain. In this paper various reliability parameters (such as mean time between failures, expected number of failures, reliability, availability etc.) are computed using Fuzzy La...

  3. Potential of neuro-fuzzy methodology to estimate noise level of wind turbines

    Science.gov (United States)

    Nikolić, Vlastimir; Petković, Dalibor; Por, Lip Yee; Shamshirband, Shahaboddin; Zamani, Mazdak; Ćojbašić, Žarko; Motamedi, Shervin

    2016-01-01

    Wind turbines noise effect became large problem because of increasing of wind farms numbers since renewable energy becomes the most influential energy sources. However, wind turbine noise generation and propagation is not understandable in all aspects. Mechanical noise of wind turbines can be ignored since aerodynamic noise of wind turbine blades is the main source of the noise generation. Numerical simulations of the noise effects of the wind turbine can be very challenging task. Therefore in this article soft computing method is used to evaluate noise level of wind turbines. The main goal of the study is to estimate wind turbine noise in regard of wind speed at different heights and for different sound frequency. Adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the wind turbine noise levels.

  4. A new approach to analyze strategy map using an integrated BSC and FUZZY DEMATEL

    Directory of Open Access Journals (Sweden)

    Seyed Abdollah Heydariyeh

    2012-01-01

    Full Text Available Today, with ever-increasing competition in global economic conditions, the necessity of effective implementation of strategy map has become an inevitable and necessary. The strategy map represents a general and structured framework for strategic objectives and plays an important role in forming competitive advantages for organizations. It is important to find important factors influencing strategy map and prioritize them based on suitable factors. In this paper, we propose an integration of BSC and Fuzzy DEMATEL technique to rank different items influencing strategy of a production plan. The proposed technique is implemented for real-world case study of glass production.

  5. Linear programming methodology for solving trapezoidal fuzzy matrix games%求解梯形模糊矩阵对策的线性规划方法

    Institute of Scientific and Technical Information of China (English)

    杨洁; 李登峰

    2015-01-01

    针对传统模糊支付矩阵对策求解方法不能保证局中人的模糊值始终相同且求解复杂的问题,通过引入��-矩阵对策的概念,提出一种求解支付为梯形模糊数的矩阵对策线性规划方法。该方法中局中人双方的对策值始终相同,且此对策值的任意��-截集的上下界和局中人的最优策略容易通过求解导出的4个线性规划问题获得,特别地,可得到模糊对策值的显式表示。通过与其他方法的比较,表明了所提出的方法更具有效性和实用性。%For the problem of major solution methods for matrix games with fuzzy payoffs, an effective methodology is developed to solve matrix games with payoffs expressed by trapezoidal fuzzy numbers. In this methodology, the concept of��-matrix games is introduced and players’ fuzzy values are always identical. The upper and lower bounds of any��-cut of the fuzzy value and players’ optimal strategies are easily obtained through solving the derived four linear programming problems with the upper and lower bounds of��-cuts of the fuzzy payoffs. Particularly, the fuzzy value can be explicitly estimated. Compared with other methods, the effectiveness and feasibility of the proposed method are illurstrated.

  6. Fuzzy Boundary and Fuzzy Semiboundary

    OpenAIRE

    Athar, M.; Ahmad, B.

    2008-01-01

    We present several properties of fuzzy boundary and fuzzy semiboundary which have been supported by examples. Properties of fuzzy semi-interior, fuzzy semiclosure, fuzzy boundary, and fuzzy semiboundary have been obtained in product-related spaces. We give necessary conditions for fuzzy continuous (resp., fuzzy semicontinuous, fuzzy irresolute) functions. Moreover, fuzzy continuous (resp., fuzzy semicontinuous, fuzzy irresolute) functions have been characterized via fuzzy-derived (resp., fuzz...

  7. Designing a Fuzzy Strategic Integrated Multiechelon Agile Supply Chain Network

    Directory of Open Access Journals (Sweden)

    Morteza Abbasi

    2013-01-01

    Full Text Available This paper integrates production, distribution and logistics activities at the strategic decision making level, where the objective is to design a multiechelon supply chain network considering agility as a key design criterion. A network with five echelons of supply chains including suppliers, plants, distribution centers, cross-docks, and customer zones is addressed in this paper. The problem has been mathematically formulated as a biobjective optimization model that aims to minimize the cost (fixed and variable and maximize the plant flexibility and volume flexibility. A novel multiobjective parallel simulating annealing algorithm (MOPSA is proposed to obtain the Pareto-optimal solutions of the problem. The performance of the proposed solution algorithm is compared with two well-known metaheuristics, namely, nondominated sorting genetic algorithm (NSGA-II and Pareto archive evolution strategy (PAES. Computational results show that MOPSA outperforms the other metaheuristics.

  8. Nursing and fuzzy logic: an integrative review Enfermería y lógica fuzzy: una revisión de integradora Enfermagem e lógica fuzzy: uma revisão integrativa

    Directory of Open Access Journals (Sweden)

    Rodrigo Jensen

    2011-02-01

    Full Text Available This study conducted an integrative review investigating how fuzzy logic has been used in research with the participation of nurses. The article search was carried out in the CINAHL, EMBASE, SCOPUS, PubMed and Medline databases, with no limitation on time of publication. Articles written in Portuguese, English and Spanish with themes related to nursing and fuzzy logic with the authorship or participation of nurses were included. The final sample included 21 articles from eight countries. For the purpose of analysis, the articles were distributed into categories: theory, method and model. In nursing, fuzzy logic has significantly contributed to the understanding of subjects related to: imprecision or the need of an expert; as a research method; and in the development of models or decision support systems and hard technologies. The use of fuzzy logic in nursing has shown great potential and represents a vast field for research.Este estudio tuvo como objetivo realizar una revisión integradora investigando como la lógica fuzzy ha sido utilizada en investigaciones con participación de enfermeros. La búsqueda de los artículos fue realizada en las bases de datos CINAHL, Embase, SCOPUS, Medline y PubMed, sin especificar un intervalo de años determinado. Fueron incluidos artículos en los idiomas: portugués, inglés y castellano; con una temática relacionada a la enfermería y a la lógica fuzzy; y con autoría o participación de enfermeros. La muestra final fue de 21 artículos, de ocho países. Para el análisis, los artículos fueron distribuidos en las categorías: teoría, método y modelo. En la enfermería, la lógica fuzzy ha contribuido significativamente para la comprensión de temas relativos a la imprecisión o a la necesidad del especialista, como método de investigación y en el desarrollo de modelos o sistemas de apoyo a la decisión y de tecnologías duras. El uso de la lógica fuzzy en la enfermería ha demostrado gran

  9. Adaptive neuro-fuzzy methodology for noise assessment of wind turbine.

    Science.gov (United States)

    Shamshirband, Shahaboddin; Petković, Dalibor; Hashim, Roslan; Motamedi, Shervin

    2014-01-01

    Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD) could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS). This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.

  10. Adaptive neuro-fuzzy methodology for noise assessment of wind turbine.

    Directory of Open Access Journals (Sweden)

    Shahaboddin Shamshirband

    Full Text Available Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS. This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.

  11. Decision making with fuzzy probability assessments and fuzzy payoff

    Institute of Scientific and Technical Information of China (English)

    Song Yexin; Yin Di; Chen Mianyun

    2005-01-01

    A novel method for decision making with fuzzy probability assessments and fuzzy payoff is presented. The consistency of the fuzzy probability assessment is considered. A fuzzy aggregate algorithm is used to indicate the fuzzy expected payoff of alternatives. The level sets of each fuzzy expected payoff are then obtained by solving linear programming models. Based on a defuzzification function associated with the level sets of fuzzy number and a numerical integration formula (Newton-Cotes formula), an effective approach to rank the fuzzy expected payoff of alternatives is also developed to determine the best alternative. Finally, a numerical example is provided to illustrate the proposed method.

  12. Methodology for dimensional variation analysis of ITER integrated systems

    Energy Technology Data Exchange (ETDEWEB)

    Fuentes, F. Javier, E-mail: FranciscoJavier.Fuentes@iter.org [ITER Organization, Route de Vinon-sur-Verdon—CS 90046, 13067 St Paul-lez-Durance (France); Trouvé, Vincent [Assystem Engineering & Operation Services, rue J-M Jacquard CS 60117, 84120 Pertuis (France); Cordier, Jean-Jacques; Reich, Jens [ITER Organization, Route de Vinon-sur-Verdon—CS 90046, 13067 St Paul-lez-Durance (France)

    2016-11-01

    Highlights: • Tokamak dimensional management methodology, based on 3D variation analysis, is presented. • Dimensional Variation Model implementation workflow is described. • Methodology phases are described in detail. The application of this methodology to the tolerance analysis of ITER Vacuum Vessel is presented. • Dimensional studies are a valuable tool for the assessment of Tokamak PCR (Project Change Requests), DR (Deviation Requests) and NCR (Non-Conformance Reports). - Abstract: The ITER machine consists of a large number of complex systems highly integrated, with critical functional requirements and reduced design clearances to minimize the impact in cost and performances. Tolerances and assembly accuracies in critical areas could have a serious impact in the final performances, compromising the machine assembly and plasma operation. The management of tolerances allocated to part manufacture and assembly processes, as well as the control of potential deviations and early mitigation of non-compliances with the technical requirements, is a critical activity on the project life cycle. A 3D tolerance simulation analysis of ITER Tokamak machine has been developed based on 3DCS dedicated software. This integrated dimensional variation model is representative of Tokamak manufacturing functional tolerances and assembly processes, predicting accurate values for the amount of variation on critical areas. This paper describes the detailed methodology to implement and update the Tokamak Dimensional Variation Model. The model is managed at system level. The methodology phases are illustrated by its application to the Vacuum Vessel (VV), considering the status of maturity of VV dimensional variation model. The following topics are described in this paper: • Model description and constraints. • Model implementation workflow. • Management of input and output data. • Statistical analysis and risk assessment. The management of the integration studies based on

  13. Fuzzy TOPSIS for Multiresponse Quality Problems in Wafer Fabrication Processes

    Directory of Open Access Journals (Sweden)

    Chiun-Ming Liu

    2013-01-01

    Full Text Available The quality characteristics in the wafer fabrication process are diverse, variable, and fuzzy in nature. How to effectively deal with multiresponse quality problems in the wafer fabrication process is a challenging task. In this study, the fuzzy technique for order preference by similarity to an ideal solution (TOPSIS, one of the fuzzy multiattribute decision-analysis (MADA methods, is proposed to investigate the fuzzy multiresponse quality problem in integrated-circuit (IC wafer fabrication process. The fuzzy TOPSIS is one of the effective fuzzy MADA methods for dealing with decision-making problems under uncertain environments. First, a fuzzy TOPSIS methodology is developed by considering the ambiguity between quality characteristics. Then, a detailed procedure for the developed fuzzy TOPSIS approach is presented to show how the fuzzy wafer fabrication quality problems can be solved. Real-world data is collected from an IC semiconductor company and the developed fuzzy TOPSIS approach is applied to find an optimal combination of parameters. Results of this study show that the developed approach provides a satisfactory solution to the wafer fabrication multiresponse problem. This developed approach can be also applied to other industries for investigating multiple quality characteristics problems.

  14. Integration of Wind Energy and Solar Energy in a DC Microgrid Using Fuzzy Logic Control

    Science.gov (United States)

    Jajula, Harshavardhan

    The significance of wind and solar energy as renewable sources for electric power generation has been rapidly increasing. The current project presents a model subsystem that integrates wind and solar energy sources to power a Direct Current (DC) microgrid, along with a backup Battery Energy Storage System (BESS) and a supercapacitor. The microgrid is used for the charging of electric vehicles locally, to supply power to the main grid, and to meet other local demands. The model compares the effectiveness of two control methods: Fuzzy Logic Control (FLC) and Proportional plus Integral control (PI). Simulation results show that the FLC is more efficient in regulating the grid power and DC bus voltage, and at the same time, it is simpler to implement, as compared to the PI controller.

  15. Integrated Management System – Scope, Possibilities And Methodology

    Directory of Open Access Journals (Sweden)

    Čekanová Katarína

    2015-06-01

    Full Text Available Organizations are becoming more aware of the importance of integrated management systems (IMS. Interest in this subject indicates that IMS are seen as “management systems of the future”. Based on this, the aim of this articles characterizes the possibility of building IMS through the identification of common elements and specific requirements in accordance with the ISO 9001, ISO 14001 and OHSAS 18001 professional references. Part of the article is the methodology of building IMS in the organization.

  16. Performance Management Integrating Strategy Execution, Methodologies, Risk, and Analytics

    CERN Document Server

    Cokins, Gary

    2009-01-01

    Praise for Praise for Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics. "A highly accessible collection of essays on contemporary thinking in performance management. Readers will get excellent overviews on the Balanced Scorecard, strategy maps, incentives, management accounting, activity-based costing, customer lifetime value, and sustainable shareholder value creation.". — Robert S. Kaplan , Harvard Business School; coauthor of The Balanced Scorecard: Translating Strategy into Action, The Execution Premium , and many other books. "Gary

  17. Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology

    Science.gov (United States)

    Hashim, Roslan; Roy, Chandrabhushan; Motamedi, Shervin; Shamshirband, Shahaboddin; Petković, Dalibor; Gocic, Milan; Lee, Siew Cheng

    2016-05-01

    Rainfall is a complex atmospheric process that varies over time and space. Researchers have used various empirical and numerical methods to enhance estimation of rainfall intensity. We developed a novel prediction model in this study, with the emphasis on accuracy to identify the most significant meteorological parameters having effect on rainfall. For this, we used five input parameters: wet day frequency (dwet), vapor pressure (e̅a), and maximum and minimum air temperatures (Tmax and Tmin) as well as cloud cover (cc). The data were obtained from the Indian Meteorological Department for the Patna city, Bihar, India. Further, a type of soft-computing method, known as the adaptive-neuro-fuzzy inference system (ANFIS), was applied to the available data. In this respect, the observation data from 1901 to 2000 were employed for testing, validating, and estimating monthly rainfall via the simulated model. In addition, the ANFIS process for variable selection was implemented to detect the predominant variables affecting the rainfall prediction. Finally, the performance of the model was compared to other soft-computing approaches, including the artificial neural network (ANN), support vector machine (SVM), extreme learning machine (ELM), and genetic programming (GP). The results revealed that ANN, ELM, ANFIS, SVM, and GP had R2 of 0.9531, 0.9572, 0.9764, 0.9525, and 0.9526, respectively. Therefore, we conclude that the ANFIS is the best method among all to predict monthly rainfall. Moreover, dwet was found to be the most influential parameter for rainfall prediction, and the best predictor of accuracy. This study also identified sets of two and three meteorological parameters that show the best predictions.

  18. 复模糊值函数的Henstock-Stieltjes积分%Henstock-Stieltjes Integral of Complex Fuzzy Valued Function

    Institute of Scientific and Technical Information of China (English)

    吴建春; 闫彦宗

    2012-01-01

    基于对模糊复积分理论的研究,本文借助复区间值函数的Henstock-Stieltjes 积分定义和刻划了复模糊值函数的Henstock-Stieltjes积分,并得到了复模糊值函数Henstock-Stieltjes积分的线性性及区间可加性.%To meet the need of generalizing fuzzy complex integration, the concept of Henstock-Stieltjes integral for complex fuzzy-valued function is given and discussed by means of the Henstock-Stieltjes integral of complex interval-valued function. Furthermore, the linearity of integration and interval additivity of the Henstock-Stieltjes integral of complex interval- valued function are obtained.

  19. Methodological Problems on the Way to Integrative Human Neuroscience

    Science.gov (United States)

    Kotchoubey, Boris; Tretter, Felix; Braun, Hans A.; Buchheim, Thomas; Draguhn, Andreas; Fuchs, Thomas; Hasler, Felix; Hastedt, Heiner; Hinterberger, Thilo; Northoff, Georg; Rentschler, Ingo; Schleim, Stephan; Sellmaier, Stephan; Tebartz Van Elst, Ludger; Tschacher, Wolfgang

    2016-01-01

    Neuroscience is a multidisciplinary effort to understand the structures and functions of the brain and brain-mind relations. This effort results in an increasing amount of data, generated by sophisticated technologies. However, these data enhance our descriptive knowledge, rather than improve our understanding of brain functions. This is caused by methodological gaps both within and between subdisciplines constituting neuroscience, and the atomistic approach that limits the study of macro- and mesoscopic issues. Whole-brain measurement technologies do not resolve these issues, but rather aggravate them by the complexity problem. The present article is devoted to methodological and epistemic problems that obstruct the development of human neuroscience. We neither discuss ontological questions (e.g., the nature of the mind) nor review data, except when it is necessary to demonstrate a methodological issue. As regards intradisciplinary methodological problems, we concentrate on those within neurobiology (e.g., the gap between electrical and chemical approaches to neurophysiological processes) and psychology (missing theoretical concepts). As regards interdisciplinary problems, we suggest that core disciplines of neuroscience can be integrated using systemic concepts that also entail human-environment relations. We emphasize the necessity of a meta-discussion that should entail a closer cooperation with philosophy as a discipline of systematic reflection. The atomistic reduction should be complemented by the explicit consideration of the embodiedness of the brain and the embeddedness of humans. The discussion is aimed at the development of an explicit methodology of integrative human neuroscience, which will not only link different fields and levels, but also help in understanding clinical phenomena. PMID:27965548

  20. Fuzzy Multi-Objective Programming Model for Facility Location in an Integrated Supply Chain Network

    Directory of Open Access Journals (Sweden)

    Hüseyin Ali Sarıkaya

    2014-05-01

    Full Text Available Traditional supply chain network design problems are often taken as a single objective. However, supply chains are complex networks formed by organizations having conflicting objectives with each other in real life. In this study, a multi-product, multi-stage and multi-period planning model is proposed to achieve multiple incommensurable goals in an integrated supply chain network with uncertain market demands. The supply chain planning model is constructed as a mixed-integer nonlinear programming problem to satisfy several conflicting objectives with each other. The proposed model consists of two objective functions. The first one is minimizing the fixed opening and operating costs with transportation costs determined depending on distances. Second one is minimizing the purchasing, ordering, inventory and backlogging costs according to Economic Production Quantity (EPQ model. Fuzzy goal programming approach is used in order to include decision maker's imprecise goal values in proposed model. The model is solved using GAMS optimization program. The application results presented in this study, demonstrates that fuzzy modeling and solution approaches could be used in the creation of more realistic models of the supply chain.

  1. A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

    Science.gov (United States)

    Sánchez, Luciano; Couso, Inés; Palacios, Ana M.; Palacios, José L.

    2013-05-01

    A methodology for obtaining fuzzy rule-based models from uncertain data is proposed. The granularity of the linguistic discretization is decided with the help of a new estimation of the mutual information between ill-known random variables, and a combination of boosting and genetic algorithms is used for discovering new rules. This methodology has been applied to predict whether the coating of an helicopter rotor blade is adequate, considering the shear adhesion strength of ice to different materials. The discovered knowledge is intended to increase the level of post-processing interpretation accuracy of experimental data obtained during the evaluation of ice-phobic materials for rotorcraft applications.

  2. METHODOLOGICAL APPROACHES TO ASSESSING THE EFFICIENCY OF THE INTEGRATION UNITS

    Directory of Open Access Journals (Sweden)

    I. P. Bogomolova

    2014-01-01

    Full Text Available The article examines the scientific and methodological apparatus assessment, built on the basis of the categories of «effectiveness» and «optimality», will allow, on the one hand, to establish the efficiency of functioning of associations in prior periods, on the other - to identify the parameters conditioning condition and results of integrated production in the future. Taking into account the results of these studies, we developed a methodology of integrated assessment of efficiency of functioning of the agro-industrial units. Its essence consists in the determination of the integral coefficient of efficiency on the basis of two complementary groups of settings: performance, expressed in the system of relative indicators, and optimality, the quantitative characteristics of which used the limit values. As the distinctive features of the proposed methodology, determining its scientific novelty and practical significance, it should be noted: enabling the assessment of the effectiveness in using existing and advanced involved in production resources; the use of a unified system of criteria and performance measures and to determine the level of optimality of meat production, built in accordance with the sequence of stages of the reproduction process; universality settlement mechanism, used for the analysis of efficiency of managing the links of the production chain (agriculture, processing, trade and overall integration. The technique involves the execution of the aggregate calculation and analytical operations, grouped by us in the framework of interrelated stages. The result can be identified priority directions of development of the Association, the necessity to optimize the composition of participants and proportions of the process chain, development and implementation of innovative programs, development of new technologies and management methods.

  3. Decision Making for Third Party Logistics Supplier Selection in Semiconductor Manufacturing Industry: A Nonadditive Fuzzy Integral Approach

    Directory of Open Access Journals (Sweden)

    Bang-Ning Hwang

    2015-01-01

    Full Text Available The semiconductor industry has a unique vertically disintegrated structure that consists of various firms specializing in a narrow range of the value chain. To ensure manufacturing and logistics efficiency, the semiconductor manufacturers considerably rely on 3PL suppliers to achieve supply chain excellence. However, 3PL supplier selection is a complex decision-making process involving multiple selection criteria. The goal of this paper is to identify the key 3PL selection criteria by employing the nonadditive fuzzy integral approach. Unlike the traditional multicriterion decision-making (MCDM methods which often assume independence among criteria and additive importance weights, the nonadditive fuzzy integral is a more effective approach to solve the dependency among criteria, vagueness in information, and essential fuzziness of human judgment. In this paper, we demonstrate an empirical case that employs the nonadditive fuzzy integral to evaluate the importance weight of selection criteria and choose the most appropriate 3PL supplier. The research result can become a valuable reference for manufacturing companies operating in comparable situations. Moreover, the systematic framework presented in this study can be easily extended to the analysis of other decision-making domains.

  4. Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain

    Directory of Open Access Journals (Sweden)

    Touil Achraf

    2016-01-01

    Full Text Available In this paper, a bi-objective mixed integer programming model is proposed to deal with the production-distribution problem found in a dairy company in Morocco. The supply chain containing three echelons: multi-sites, multi-distribution centers and multi-customers. The model seeks to integrate two conflicting simultaneous objectives: maximizing benefit by considering the shelf life of products and the total cost (quantitative objective, including production, storage, and distribution, as well as maximizing the service level (qualitative objective, which relates to providing satisfactory services to customers. This is subject to several technological constraints that typically arise in the dairy industry, such as sequence-dependent changeover time, machine speed and storage capacity. Due to imprecise aspiration levels of goals, an interactive approach is proposed based on fuzzy goal additive variants to find an efficient compromise solution. Numerical results are reported to demonstrate the efficiency and applicability of the proposed model.

  5. Applying fuzzy integral for evaluating intensity of knowledge work in jobs

    Directory of Open Access Journals (Sweden)

    Jalil Heidary Dahooie

    2013-10-01

    Full Text Available In this article, a framework is proposed to define and identify knowledge work intensity in jobs, quantitatively. For determining the Knowledge Work Intensity Score (KWIS of a job, it is supposed that the job comprises some tasks and KWIS of the job is determined based on knowledge intensity of these tasks. Functional Job Analysis (FJA method is applied to determine tasks of jobs and then Task’s Knowledge Intensity Score (TKIS is computed by using Fuzzy integral method. Besides, importance weight and time weight of tasks are determined by utilizing appropriate methods. Finally, KWIS is calculated by a formula composed of tasks’ TKISs and the weights. For evaluating applicability of the framework, it is applied to calculate KWISs of two jobs (Deputy of Finance and service, Laboratory technician.

  6. Selection of the best initial orbital elements of satellite based on fuzzy integration evaluation method

    Institute of Scientific and Technical Information of China (English)

    Yang Yong'an; Zhang Hongwei; Feng Zuren; Luo Yongjin

    2006-01-01

    The fuzzy integration evaluation method (FIEM) is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT&C (Tracking, Telemetry and Control) center with all kinds of data sources. By employing FIEM together with the experience of TT&C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective. The originality of the method is to find a new evaluation criterion (comparing the actually tracked orbits) replacing the traditional one (comparing the nominal orbits) for selecting the best orbital elements.

  7. Teaching Methodologies in Spatial Planning for Integration of International Students

    Science.gov (United States)

    Virtudes, Ana; Cavaleiro, Victor

    2016-10-01

    Nowadays, the spread of international exchanges is growing among university students, across European countries. In general, during their academic degrees, the high education students are looking for international experiences abroad. This goal has its justification not only in the reason of pursuing their studies, but also in the desire of knowing another city, a different culture, a diverse way of teaching, and at the same time having the opportunity of improving their skills speaking another language. Therefore, the scholars at the high level of educational systems have to rethink their traditional approaches in terms of teaching methodologies in order to be able to integrate these students, that every academic year are coming from abroad. Portugal is not an exception on this matter, neither the scientific domain of spatial planning. Actually, during the last years, the number of foreign students choosing to study in this country is rapidly increasing. Even though some years ago, most of the international students were originated from Portuguese speaking countries, comprising its former colonies such as Brazil, Angola, Cape Verde or Mozambique, recently the number of students from other countries is increasing, including from Syria. Characterized by a mild climate, a beautiful seashore and cities packed with historical and cultural interests, this country is a very attractive destination for international students. In this sense, this study explores the beliefs about teaching methodologies that scholars in spatial planning domain can use to guide their practice within Architecture degree, in order to promote de integration of international students. These methodologies are based on the notion that effective teaching is student-centred rather than teacher-centred, in order to achieve a knowledge-centred learning environment framework in terms of spatial planning skills. Thus, this article arises out of a spatial planning unit experience in the Master Degree in

  8. Energy integration of nitric acid production using pinch methodology

    Directory of Open Access Journals (Sweden)

    Ivaniš Gorica R.

    2015-01-01

    Full Text Available Pinch methodology was applied to the heat exchangers network (HEN synthesis of nitric acid production. The integration is analyzed in two ways, and the results are presented as two different solutions: (i the first solution is based on the original heat transfer equipment arrangement, (ii in order to eliminate the shortages of the first solution the second HEN was obtained using process simulation with optimized process parameters. Optimized HEN, with new arrangement of heat exchangers, gave good results in energy and process optimization. [Projekat Ministarstva nauke Republike Srbije, br. P172063

  9. INTEGRATED METHODOLOGY FOR PRODUCT PLANNING USING MULTI CRITERIA ANALYSIS

    Directory of Open Access Journals (Sweden)

    Tarun Soota

    2016-09-01

    Full Text Available Integrated approach to multi-criteria decision problems is proposed using quality function deployment and analytical network process. The objective of the work is to rationalize and improve the method of analyzing and interpreting customer needs and technical requirements. The methodology is used to determine, prioritize engineering requirements based on customer needs for development of best product. Framework allows decision maker to decompose a complex problem in a hierarchical structure to show relationship between objective and criteria. Multi-criteria decision modeling is used for extending the hierarchy process to both dependence and feedback. A case study on bikes is presented for the proposed model.

  10. Case study methodology in nurse migration research: an integrative review.

    Science.gov (United States)

    Freeman, Michelle; Baumann, Andrea; Fisher, Anita; Blythe, Jennifer; Akhtar-Danesh, Noori

    2012-08-01

    The migration of nurses combined with a global nursing shortage affects the supply of nurses and access to health services in many countries. The purpose of this article was to conduct an integrative review of case study methodology (CSM) in nurse migration research. Findings identify where studies using CSM have been conducted, by whom, and the themes explored. More studies using CSM are required to answer the important "how" and "why" questions related to nurse migration. Nurses should take a leadership role in this research.

  11. Statistical Methodologies to Integrate Experimental and Computational Research

    Science.gov (United States)

    Parker, P. A.; Johnson, R. T.; Montgomery, D. C.

    2008-01-01

    Development of advanced algorithms for simulating engine flow paths requires the integration of fundamental experiments with the validation of enhanced mathematical models. In this paper, we provide an overview of statistical methods to strategically and efficiently conduct experiments and computational model refinement. Moreover, the integration of experimental and computational research efforts is emphasized. With a statistical engineering perspective, scientific and engineering expertise is combined with statistical sciences to gain deeper insights into experimental phenomenon and code development performance; supporting the overall research objectives. The particular statistical methods discussed are design of experiments, response surface methodology, and uncertainty analysis and planning. Their application is illustrated with a coaxial free jet experiment and a turbulence model refinement investigation. Our goal is to provide an overview, focusing on concepts rather than practice, to demonstrate the benefits of using statistical methods in research and development, thereby encouraging their broader and more systematic application.

  12. Integrated Methodology for Estimating Water Use in Mediterranean Agricultural Areas

    Directory of Open Access Journals (Sweden)

    George C. Zalidis

    2009-08-01

    Full Text Available Agricultural use is by far the largest consumer of fresh water worldwide, especially in the Mediterranean, where it has reached unsustainable levels, thus posing a serious threat to water resources. Having a good estimate of the water used in an agricultural area would help water managers create incentives for water savings at the farmer and basin level, and meet the demands of the European Water Framework Directive. This work presents an integrated methodology for estimating water use in Mediterranean agricultural areas. It is based on well established methods of estimating the actual evapotranspiration through surface energy fluxes, customized for better performance under the Mediterranean conditions: small parcel sizes, detailed crop pattern, and lack of necessary data. The methodology has been tested and validated on the agricultural plain of the river Strimonas (Greece using a time series of Terra MODIS and Landsat 5 TM satellite images, and used to produce a seasonal water use map at a high spatial resolution. Finally, a tool has been designed to implement the methodology with a user-friendly interface, in order to facilitate its operational use.

  13. A case on vendor selection methodology: An integrated approach

    Directory of Open Access Journals (Sweden)

    Nikhil C. Shil

    2009-11-01

    Full Text Available Vendor selection methodology is a highly researched area in supply chain management l terature and a very significant decision taken by supply chain managers due to technological advances in the manufacturing process. Such research has two basic dimensions: one is related to the identification of variables affecting the performance of the vendors and the other deals with the methodology to be applied. Most of the research conducted in this area deal with the upfront selection of vendors. However, it is very common to have a list of dedicated vendors due to the development of sophisticated production technologies like just in time (JIT, a lean or agile manufacturing process where continuous flow of materials is a requirement. This paper addresses the issue of selecting the optimal vendor from the internal database of a company. Factor analysis, analytical hierarchy process and regression analysis is used in an integrated way to supplement the vendor selection process. The methodology presented here is simply a proposal where every possible room for adjustment is available.

  14. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    OpenAIRE

    A. Yousefli; M. Ghazanfari; M. B. Abiri

    2014-01-01

    In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE). This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without ...

  15. Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP, and WLC in a GIS.

    Science.gov (United States)

    Aydi, Abdelwaheb; Abichou, Tarek; Nasr, Imen Hamdi; Louati, Mourad; Zairi, Moncef

    2016-01-01

    This paper presents a geographic information system-based multi-criteria site selection tool of an olive mill wastewater (OMW) disposal site in Sidi Bouzid Region, Tunisia. The multi-criteria decision framework integrates ten constraints and six factors that relate to environmental and economic concerns, and builds a hierarchy model for OMW disposal site suitability. The methodology is used for preliminary assessment of the most suitable OMW disposal sites by combining fuzzy set theory and analytic hierarchy process (AHP). The fuzzy set theory is used to standardize factors using different fuzzy membership functions while the AHP is used to establish the relative importance of the criteria. The AHP makes pairwise comparisons of relative importance between hierarchy elements grouped by both environmental and economic decision criteria. The OMW disposal site suitability is achieved by applying a weighted linear combination that uses a comparison matrix to aggregate different importance scenarios associated with environmental and economic objectives. Three different scenarios generated by different weights applied to the two objectives. The scenario (a) assigns a weight of 0.75 to the environmental and 0.25 to the economic objective, scenario (b) has equal weights, and scenario (c) features weights of 0.25 and 0.75 for environmental and economic objectives, respectively. The results from this study assign the least suitable OMW disposal site of 2.5 % when environmental and economic objectives are rated equally, while a more suitable OMW disposal site of 1.0 % is generated when the economic objective is rated higher.

  16. Integrating Geographical Information Systems, Fuzzy Logic and Analytical Hierarchy Process in Modelling Optimum Sites for Locating Water Reservoirs. A Case Study of the Debub District in Eritrea

    Directory of Open Access Journals (Sweden)

    Rodney G. Tsiko

    2011-03-01

    Full Text Available The aim of this study was to model water reservoir site selection for a real world application in the administrative district of Debub, Eritrea. This is a region were scarcity of water is a fundamental problem. Erratic rainfall, drought and unfavourable hydro-geological characteristics exacerbates the region’s water supply. Consequently, the population of Debub is facing severe water shortages and building reservoirs has been promoted as a possible solution to meet the future demand of water supply. This was the most powerful motivation to identify candidate sites for locating water reservoirs. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative sites. Decisions regarding criteria are often accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of Multi-criteria Decision Analysis (MCDA problems. This paper proposes a combined two-stage MCDA methodology. The first stage involved utilizing the most simplistic type of data aggregation techniques known as Boolean Intersection or logical AND to identify areas restricted by environmental and hydrological constraints and therefore excluded from further study. The second stage involved integrating fuzzy logic with the Analytic Hierarchy Process (AHP to identify optimum and back-up candidate water reservoir sites in the area designated for further study.

  17. A METHODOLOGICAL MODEL FOR INTEGRATING CHARACTER WITHIN CONTENT AND LANGUAGE INTEGRATED LEARNING IN SOCIOLOGY OF RELIGION

    OpenAIRE

    Moh Yasir Alimi

    2014-01-01

    AbstractIn this article, I describe a methodological model I used in a experimental study on how to integrate character within the practice of Content and Language Integrated Learning (CLIL) at the higher education Indonesia.This research can be added to research about character education and CLIL in tertiary education, giving nuances to the practice of CLIL so far predominantly a practice in primary and secondary schools.The research was conducted in Semarang State University, in the Departm...

  18. Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems

    Science.gov (United States)

    Yang, Yahong; Zhao, Fuqing; Hong, Yi; Yu, Dongmei

    2005-12-01

    Integration of process planning with scheduling by considering the manufacturing system's capacity, cost and capacity in its workshop is a critical issue. The concurrency between them can also eliminate the redundant process and optimize the entire production cycle, but most integrated process planning and scheduling methods only consider the time aspects of the alternative machines when constructing schedules. In this paper, a fuzzy inference system (FIS) in choosing alternative machines for integrated process planning and scheduling of a job shop manufacturing system is presented. Instead of choosing alternative machines randomly, machines are being selected based on the machines reliability. The mean time to failure (MTF) values is input in a fuzzy inference mechanism, which outputs the machine reliability. The machine is then being penalized based on the fuzzy output. The most reliable machine will have the higher priority to be chosen. In order to overcome the problem of un-utilization machines, sometimes faced by unreliable machine, the particle swarm optimization (PSO) have been used to balance the load for all the machines. Simulation study shows that the system can be used as an alternative way of choosing machines in integrated process planning and scheduling.

  19. STATISTICS OF FUZZY DATA

    Directory of Open Access Journals (Sweden)

    Orlov A. I.

    2016-05-01

    Full Text Available Fuzzy sets are the special form of objects of nonnumeric nature. Therefore, in the processing of the sample, the elements of which are fuzzy sets, a variety of methods for the analysis of statistical data of any nature can be used - the calculation of the average, non-parametric density estimators, construction of diagnostic rules, etc. We have told about the development of our work on the theory of fuzziness (1975 - 2015. In the first of our work on fuzzy sets (1975, the theory of random sets is regarded as a generalization of the theory of fuzzy sets. In non-fiction series "Mathematics. Cybernetics" (publishing house "Knowledge" in 1980 the first book by a Soviet author fuzzy sets is published - our brochure "Optimization problems and fuzzy variables". This book is essentially a "squeeze" our research of 70-ies, ie, the research on the theory of stability and in particular on the statistics of objects of non-numeric nature, with a bias in the methodology. The book includes the main results of the fuzzy theory and its note to the random set theory, as well as new results (first publication! of statistics of fuzzy sets. On the basis of further experience, you can expect that the theory of fuzzy sets will be more actively applied in organizational and economic modeling of industry management processes. We discuss the concept of the average value of a fuzzy set. We have considered a number of statements of problems of testing statistical hypotheses on fuzzy sets. We have also proposed and justified some algorithms for restore relationships between fuzzy variables; we have given the representation of various variants of fuzzy cluster analysis of data and variables and described some methods of collection and description of fuzzy data

  20. A Novel Methodology for Thermal Analysis & 3-Dimensional Memory Integration

    CERN Document Server

    Cherian, Annmol; Jose, Jemy; Pangracious, Vinod; 10.5121/ijait.2011.1403

    2011-01-01

    The semiconductor industry is reaching a fascinating confluence in several evolutionary trends that will likely lead to a number of revolutionary changes in the design, implementation, scaling, and the use of computer systems. However, recently Moore's law has come to a stand-still since device scaling beyond 65 nm is not practical. 2D integration has problems like memory latency, power dissipation, and large foot-print. 3D technology comes as a solution to the problems posed by 2D integration. The utilization of 3D is limited by the problem of temperature crisis. It is important to develop an accurate power profile extraction methodology to design 3D structure. In this paper, design of 3D integration of memory is considered and hence the static power dissipation of the memory cell is analysed in transistor level and is used to accurately model the inter-layer thermal effects for 3D memory stack. Subsequently, packaging of the chip is considered and modelled using an architecture level simulator. This modelli...

  1. Application of self-learning proportion-integral fuzzy control to jig separator in the Ombilin coal mine, Indonesia

    Energy Technology Data Exchange (ETDEWEB)

    A. Tayaoka; K. Yoshino; Y. Jinnouchi; Y. Kubo; K. Okada; K. Suzuki [Kitakyushu National College of Technology (Japan)

    2005-07-01

    The coal preparation plant uses a variety of equipment, and one of the most important of them is the gravity-based separator. A proportional control system is used for controlling the tailing discharger of the separator. The operator manually adjusts the proportional control parameters while checking the tailings discharged from the separator outlet. Normally, however, these adjustments have to be made on a trial and error basis and are consequently very difficult to perform. To resolve this problem, we propose, as a result of this study, a proportional integral (PI) control system that features a self-learning function based on fuzzy logic. Normally, when fuzzy logic is used, it is necessary to determine the parameters for the fuzzy rules. In the proposed system, these fuzzy rule parameters are adjusted automatically and new rules are added when necessary. Learning with this structure of logic reasoning is accomplished by the steepest descent method. With this method, it is possible to generate rules even when there is no information available about the parameters at all. This study tries to model the separator jig system to investigate and develop a control system for it. Furthermore, we have demonstrated the validity of the proposed system, which is applied to the coal preparation plant in the Ombilin Coal Mine, on the basis of a number of experimental results. 6 refs., 11 figs.

  2. Methodology for Selecting Best Management Practices Integrating Multiple Stakeholders and Criteria. Part 1: Methodology

    Directory of Open Access Journals (Sweden)

    Mauricio Carvallo Aceves

    2016-02-01

    Full Text Available The implementation of stormwater Best Management Practices (BMPs could help re-establish the natural hydrological cycle of watersheds after urbanization, with each BMP presenting a different performance across a range of criteria (flood prevention, pollutant removal, etc.. Additionally, conflicting views from the relevant stakeholders may arise, resulting in a complex selection process. This paper proposes a methodology for BMP selection based on the application of multi-criteria decision aid (MCDA methods, integrating multiple stakeholder priorities and BMP combinations. First, in the problem definition, the MCDA methods, relevant criteria and design guidelines are selected. Next, information from the preliminary analysis of the watershed is used to obtain a list of relevant BMPs. The third step comprises the watershed modeling and analysis of the BMP alternatives to obtain performance values across purely objective criteria. Afterwards, a stakeholder analysis based on survey applications is carried out to obtain social performance values and criteria priorities. Then, the MCDA methods are applied to obtain the final BMP rankings. The last step considers the sensitivity analysis and rank comparisons in order to draw the final conclusions and recommendations. Future improvements to the methodology could explore inclusion of multiple objective analysis, and alternative means for obtaining social performance values.

  3. The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters

    Directory of Open Access Journals (Sweden)

    Yancai Xiao

    2016-05-01

    Full Text Available In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD wind turbines, this paper proposes a fuzzy proportional integral (PI controller associated with a new control strategy for wind turbine converters. The purpose of the control strategy is to achieve the global optimization for the quantization factors, ke and kec, and scale factors, kup and kui, of the fuzzy PI controller by an improved particle swarm optimization (PSO method. Thus the advantages of the rapidity of the improved PSO and the robustness of the fuzzy controller can be fully applied in the control process. By conducting simulations for 2 MW PMDD wind turbines with Matlab/Simulink, the performance of the fuzzy PI controller based on the improved PSO is demonstrated to be obviously better than that of the PI controller or the fuzzy PI controller without using the improved PSO under the situation when the wind speed changes suddenly.

  4. Integrated fuzzy logic and genetic algorithms for multi-objective control of structures using MR dampers

    Science.gov (United States)

    Yan, Gang; Zhou, Lily L.

    2006-09-01

    This study presents a design strategy based on genetic algorithms (GA) for semi-active fuzzy control of structures that have magnetorheological (MR) dampers installed to prevent damage from severe dynamic loads such as earthquakes. The control objective is to minimize both the maximum displacement and acceleration responses of the structure. Interactive relationships between structural responses and input voltages of MR dampers are established by using a fuzzy controller. GA is employed as an adaptive method for design of the fuzzy controller, which is here known as a genetic adaptive fuzzy (GAF) controller. The multi-objectives are first converted to a fitness function that is used in standard genetic operations, i.e. selection, crossover, and mutation. The proposed approach generates an effective and reliable fuzzy logic control system by powerful searching and self-learning adaptive capabilities of GA. Numerical simulations for single and multiple damper cases are given to show the effectiveness and efficiency of the proposed intelligent control strategy.

  5. Usefulness of alternative integrative assessment methodologies in public decision making

    Energy Technology Data Exchange (ETDEWEB)

    Erickson, L. E.; Litchfield, J. W.; Currie, J. W.; McDonald, C. L.; Adams, R. C.

    1978-07-01

    Many diverse social, economic, and environmental effects are associated with each of the available energy development alternatives. The assessment of the costs, risks, and benefits of these energy development options is an important function of the U. S. Department of Energy. This task is more difficult when no single alternative is better than the others in all respects. This paper compares benefit-cost and multi-attribute utility analysis as decision aids for these more difficult and more common assessment cases. PNL has developed expertise in making these assessments through its involvement since the Calvert Cliffs decision in both the preparation of Environmental Impact Statements and the development of methods to make these statements more thorough and responsive to the spirit of the National Environmental Protection Act (NEPA). Since 1973 PNL has had continuing efforts to quantify, value, and compare all of the major factors which influence the overall impacts of energy development options. An important part of this work has been the measurement and incorporation of the relative values which community groups place on these conflicting factors. Such difficult assessment problems could be approached in many ways including the use of benefit-cost or multi-attribute utility analysis. This paper addresses the following questions: (1) Should an integrative assessment methodology be used for the overall assessment of these costs, risks, and benefits. (2) If an integrative assessment methodology is to be used, what alternative methods are available and what should be the basis for selecting a method. (3) Is it possible to use one of the available alternatives for one portion of the assessment and another for another portion of the assessment. The answers to these questions presented in this report are applicable to most public decision problems.

  6. An integrated approach of composting methodologies for solid waste management

    Directory of Open Access Journals (Sweden)

    K. Kumaresan

    2016-03-01

    Full Text Available Organic fraction of solid waste, which upon degradation produces foul smell and generates pathogens, if not properly managed. Composting is not a method of waste disposal but it is a method of waste recycling and used for agricultural purposes. An integrated approach of composting methodology was tested for municipal solid waste management. Solid waste first was composted and after 22 days, was further processed by vermicomposting. Samples were routinely taken for analysis of carbon, nitrogen, moisture content, pH and temperature to determine the quality of composting. Decrease in moisture content to 32.1 %, relative decrease in carbon and nitrogen content were also observed. Among the different types of treatment, municipal solid waste + activated sludge integration showed promising results, followed by vermicomposting municipal solid waste + activated sludge combination, compared to the combinations of dried activated sludge, municipal solid waste + activated sludge semisolid and municipal solid waste + sewage water. Thus, windrow composting followed by vermicomposting gave a better result than other methods. Thus this method would serve as a potential alternative for solid waste management.

  7. Automated development of linguistic-fuzzy classifier membership functions and weights for use in disparate sensor integration visible and infrared imaging sensor classification

    Science.gov (United States)

    Nelson, Bruce N.; Birenzvige, Amnon

    2004-04-01

    In support of the Disparate Sensor Integration (DSI) Program a number of imaging sensors were fielded to determine the feasibility of using information from these systems to discriminate between chemical and conventional munitions. The camera systems recorded video from 160 training and 100 blind munitions detonation events. Two types of munitions were used; 155 mm conventional rounds and 155 mm chemical simulant rounds. In addition two different modes of detonation were used with these two classes of munitions; detonation on impact (point detonation) and detonation in the air (airblasts). The cameras fielded included two visible wavelength cameras, a near infrared camera (peak responsivity of approximately 1μm), a mid wavelength infrared camera system (3 μm to 5 μm) and a long wavelength infrared camera system (7.5 μm to 13 μm). Our recent work has involved developing Linguistic-Fuzzy Classifiers for performing munitions detonation classification with the DSI visible and infrared imaging sensors data sets. In this initial work, the classifiers were heuristically developed based on analyses of the training data features distributions. In these initial classification systems both the membership functions and the feature weights were hand developed and tuned. We have recently developed new methodologies to automatically generate membership functions and weights in Linguistic-Fuzzy Classifiers. This paper will describe this new methodology and provide an example of its efficacy for separating munitions detonation events into either air or point detonation. This is a critical initial step in achieving the overall goal of DSI; the classification of detonation events as either chemical or conventional. Further, the detonation mode is important as it significantly effects the dispersion of agents. The results presented in this paper clearly demonstrate that the automatically developed classifiers perform as well in this classification task as the previously developed

  8. An Integrated Model for Optimization Oriented Decision Aiding and Rule Based Decision Making in Fuzzy Environment

    Directory of Open Access Journals (Sweden)

    A. Yousefli

    2014-01-01

    Full Text Available In this paper a fuzzy decision aid system is developed base on new concepts that presented in the field of fuzzy decision making in fuzzy environment (FDMFE. This framework aids decision makers to understand different circumstances of an uncertain problem that may occur in the future. Also, to keep decision maker from the optimization problem complexities, a decision support system, which can be replaced by optimization problem, is presented to make optimum or near optimum decisions without solving optimization problem directly. An application of the developed decision aid model and the decision support system is presented in the field of inventory models.

  9. Integrated fuzzy-PI controlled current source converter based D-STATCOM

    Directory of Open Access Journals (Sweden)

    M. Deben Singh

    2016-12-01

    Full Text Available The distribution static synchronous compensator (D-STATCOM is a shunt-connected current injection custom power (CP device that can be used for improving quality and reliability of the power supplied to electric consumers under dynamic conditions of the distribution system. The CP devices such as dynamic voltage restorer and unified power quality conditioner including D-STATCOM are mostly designed and implemented using voltage source converter topology. The performance of D-STATCOM can be improved, if it is realized by using a current source converter topology which can generate a controllable current directly at its output terminals. Although the current source converter (CSC topology offers many promising advantageous features, not much research publications with CSC-based approach in the field of CP devices has been reported over the last one decade. This paper presents a novel method of realizing a D-STATCOM using CSC topology with an integrated fuzzy-PI controller for not only mitigating voltage sag but also capable of maintaining improved DC-link voltage profile. The model has been simulated in the MATLAB/SIMULINK environment. The simulation results under steady state and dynamic load perturbation provide excellent output characteristics that support the validity of the proposed model.

  10. [Integrated fuzzy evaluation of water eutrophication based on GIS in the Taihu Lake].

    Science.gov (United States)

    Gong, Shao-Qi; Huang, Jia-Zhu; Li, Yun-Mei; Wei, Yu-Chun; Gu, Zheng-Fan

    2005-09-01

    Supported by geographic information system and geostatistics, the application of fuzzy mathematics and analytic hierarchy process for water eutrophication evaluation was discussed. Taking Taihu Lake as an example, the research selected total phosphorus, total nitrogen, chlorophyll a, COD, BOD5, DO and transparence as evaluation index. After geostatistical analysis of the datum of monitoring site, the values of evaluation indices were estimated in the whole research area. Given that, the different dependence functions were developed for these indices and the function values were calculated. Furthermore, according to the principle of analytic hierarchy process, the weight of every index was calculated, then integrated evaluation value was obtained for the whole research area and the evaluation map for water eutrophication was drawn. The result shows that the level of nutrition is the highest in the north and north-west of lake, which is hypertrophic, that is meso-eutrophic in the middle and that is the lowest in the south-east of lake, which is mesotrophic.

  11. Fuzzy contractibility

    OpenAIRE

    GÜNER, Erdal

    2007-01-01

    Abstract. In this paper, .rstly some fundamental concepts are included re- lating to fuzzy topological spaces. Secondly, the fuzzy connected set is intro- duced. Finally, de.ning fuzzy contractible space, it is shown that X is a fuzzy contractible space if and only if X is fuzzy homotopic equivalent with a fuzzy single-point space.

  12. Intuitionistic Trapezoidal Fuzzy Group Decision-Making Based on Prospect Choquet Integral Operator and Grey Projection Pursuit Dynamic Cluster

    Directory of Open Access Journals (Sweden)

    Jiahang Yuan

    2017-01-01

    Full Text Available In consideration of the interaction among attributes and the influence of decision makers’ risk attitude, this paper proposes an intuitionistic trapezoidal fuzzy aggregation operator based on Choquet integral and prospect theory. With respect to a multiattribute group decision-making problem, the prospect value functions of intuitionistic trapezoidal fuzzy numbers are aggregated by the proposed operator; then a grey relation-projection pursuit dynamic cluster method is developed to obtain the ranking of alternatives; the firefly algorithm is used to optimize the objective function of projection for obtaining the best projection direction of grey correlation projection values, and the grey correlation projection values are evaluated, which are applied to classify, rank, and prefer the alternatives. Finally, an illustrative example is taken in the present study to make the proposed method comprehensible.

  13. Intuitionistic fuzzy calculus

    CERN Document Server

    Lei, Qian

    2017-01-01

    This book offers a comprehensive and systematic review of the latest research findings in the area of intuitionistic fuzzy calculus. After introducing the intuitionistic fuzzy numbers’ operational laws and their geometrical and algebraic properties, the book defines the concept of intuitionistic fuzzy functions and presents the research on the derivative, differential, indefinite integral and definite integral of intuitionistic fuzzy functions. It also discusses some of the methods that have been successfully used to deal with continuous intuitionistic fuzzy information or data, which are different from the previous aggregation operators focusing on discrete information or data. Mainly intended for engineers and researchers in the fields of fuzzy mathematics, operations research, information science and management science, this book is also a valuable textbook for postgraduate and advanced undergraduate students alike.

  14. Fuzzy attitude control for a nanosatellite in leo orbit

    Science.gov (United States)

    Calvo, Daniel; Laverón-Simavilla, Ana; Lapuerta, Victoria; Aviles, Taisir

    Fuzzy logic controllers are flexible and simple, suitable for small satellites Attitude Determination and Control Subsystems (ADCS). In this work, a tailored fuzzy controller is designed for a nanosatellite and is compared with a traditional Proportional Integrative Derivative (PID) controller. Both control methodologies are compared within the same specific mission. The orbit height varies along the mission from injection at around 380 km down to a 200 km height orbit, and the mission requires pointing accuracy over the whole time. Due to both the requirements imposed by such a low orbit, and the limitations in the power available for the attitude control, a robust and efficient ADCS is required. For these reasons a fuzzy logic controller is implemented as the brain of the ADCS and its performance and efficiency are compared to a traditional PID. The fuzzy controller is designed in three separated controllers, each one acting on one of the Euler angles of the satellite in an orbital frame. The fuzzy memberships are constructed taking into account the mission requirements, the physical properties of the satellite and the expected performances. Both methodologies, fuzzy and PID, are fine-tuned using an automated procedure to grant maximum efficiency with fixed performances. Finally both methods are probed in different environments to test their characteristics. The simulations show that the fuzzy controller is much more efficient (up to 65% less power required) in single maneuvers, achieving similar, or even better, precision than the PID. The accuracy and efficiency improvement of the fuzzy controller increase with orbit height because the environmental disturbances decrease, approaching the ideal scenario. A brief mission description is depicted as well as the design process of both ADCS controllers. Finally the validation process and the results obtained during the simulations are described. Those results show that the fuzzy logic methodology is valid for small

  15. Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation.

    Science.gov (United States)

    Li, Bing Nan; Chui, Chee Kong; Chang, Stephen; Ong, S H

    2011-01-01

    The performance of the level set segmentation is subject to appropriate initialization and optimal configuration of controlling parameters, which require substantial manual intervention. A new fuzzy level set algorithm is proposed in this paper to facilitate medical image segmentation. It is able to directly evolve from the initial segmentation by spatial fuzzy clustering. The controlling parameters of level set evolution are also estimated from the results of fuzzy clustering. Moreover the fuzzy level set algorithm is enhanced with locally regularized evolution. Such improvements facilitate level set manipulation and lead to more robust segmentation. Performance evaluation of the proposed algorithm was carried on medical images from different modalities. The results confirm its effectiveness for medical image segmentation.

  16. Model Integrating Fuzzy Argument with Neural Network Enhancing the Performance of Active Queue Management

    Directory of Open Access Journals (Sweden)

    Nguyen Kim Quoc

    2015-08-01

    Full Text Available The bottleneck control by active queue management mechanisms at network nodes is essential. In recent years, some researchers have used fuzzy argument to improve the active queue management mechanisms to enhance the network performance. However, the projects using the fuzzy controller depend heavily on professionals and their parameters cannot be updated according to changes in the network, so the effectiveness of this mechanism is not high. Therefore, we propose a model combining the fuzzy controller with neural network (FNN to overcome the limitations above. Results of the training of the neural networks will find the optimal parameters for the adaptive fuzzy controller well to changes of the network. This improves the operational efficiency of the active queue management mechanisms at network nodes.

  17. Novel Optimization Methodology for Welding Process/Consumable Integration

    Energy Technology Data Exchange (ETDEWEB)

    Quintana, Marie A; DebRoy, Tarasankar; Vitek, John; Babu, Suresh

    2006-01-15

    Advanced materials are being developed to improve the energy efficiency of many industries of future including steel, mining, and chemical, as well as, US infrastructures including bridges, pipelines and buildings. Effective deployment of these materials is highly dependent upon the development of arc welding technology. Traditional welding technology development is slow and often involves expensive and time-consuming trial and error experimentation. The reason for this is the lack of useful predictive tools that enable welding technology development to keep pace with the deployment of new materials in various industrial sectors. Literature reviews showed two kinds of modeling activities. Academic and national laboratory efforts focus on developing integrated weld process models by employing the detailed scientific methodologies. However, these models are cumbersome and not easy to use. Therefore, these scientific models have limited application in real-world industrial conditions. On the other hand, industrial users have relied on simple predictive models based on analytical and empirical equations to drive their product development. The scopes of these simple models are limited. In this research, attempts were made to bridge this gap and provide the industry with a computational tool that combines the advantages of both approaches. This research resulted in the development of predictive tools which facilitate the development of optimized welding processes and consumables. The work demonstrated that it is possible to develop hybrid integrated models for relating the weld metal composition and process parameters to the performance of welds. In addition, these tools can be deployed for industrial users through user friendly graphical interface. In principle, the welding industry users can use these modular tools to guide their welding process parameter and consumable composition selection. It is hypothesized that by expanding these tools throughout welding industry

  18. Integrating fuzzy logic and statistics to improve the reliable delimitation of biogeographic regions and transition zones.

    Science.gov (United States)

    Olivero, Jesús; Márquez, Ana L; Real, Raimundo

    2013-01-01

    This study uses the amphibian species of the Mediterranean basin to develop a consistent procedure based on fuzzy sets with which biogeographic regions and biotic transition zones can be objectively detected and reliably mapped. Biogeographical regionalizations are abstractions of the geographical organization of life on Earth that provide frameworks for cataloguing species and ecosystems, for answering basic questions in biogeography, evolutionary biology, and systematics, and for assessing priorities for conservation. On the other hand, limits between regions may form sharply defined boundaries along some parts of their borders, whereas elsewhere they may consist of broad transition zones. The fuzzy set approach provides a heuristic way to analyse the complexity of the biota within an area; significantly different regions are detected whose mutual limits are sometimes fuzzy, sometimes clearly crisp. Most of the regionalizations described in the literature for the Mediterranean biogeographical area present a certain degree of convergence when they are compared within the context of fuzzy interpretation, as many of the differences found between regionalizations are located in transition zones, according to our case study. Compared with other classification procedures based on fuzzy sets, the novelty of our method is that both fuzzy logic and statistics are used together in a synergy in order to avoid arbitrary decisions in the definition of biogeographic regions and transition zones.

  19. Methodology of Adaptive Integrated Accounting System in Information Environment

    Directory of Open Access Journals (Sweden)

    Bochulya Tetyana V.

    2013-12-01

    Full Text Available The goal of the article lies in the study of logical and methodological justification of formation of the integrated system of accounting based on realities of the co-ordinated transformation of the society and economy and development of a new knowledge about formation and adjustment of the accounting system in it’s a priori new information competence with expansion of functionality for the justified idea of existence and development of business. Taking developments of the best representatives of the leading scientific society as a basis, the article offers a new vision of organisation of the accounting system, based on the modern projection of information competence and harmonisation of main processes of information service for adaptation of the system for multi-vector inquiries of consumers of information. Pursuant to results of the conducted study, the article makes an effort to change the established opinion about information and professional competences of the accounting system and attach a new qualitative significance to them. The article makes a proposal with respect to calculation of quality of the information system on the basis of key indicators of its information service. It lays the foundation of the prospective study of the problems of building the accounting system in such a projection, so that realities of internal and external processes were maximally co-ordinated based on the idea of their information development.

  20. How to combine probabilistic and fuzzy uncertainties in fuzzy control

    Science.gov (United States)

    Nguyen, Hung T.; Kreinovich, Vladik YA.; Lea, Robert

    1991-01-01

    Fuzzy control is a methodology that translates natural-language rules, formulated by expert controllers, into the actual control strategy that can be implemented in an automated controller. In many cases, in addition to the experts' rules, additional statistical information about the system is known. It is explained how to use this additional information in fuzzy control methodology.

  1. Project INTEGRATE - a common methodological approach to understand integrated health care in Europe

    Directory of Open Access Journals (Sweden)

    Lucinda Cash-Gibson

    2014-12-01

    Full Text Available Background: The use of case studies in health services research has proven to be an excellent methodology for gaining in-depth understanding of the organisation and delivery of health care. This is particularly relevant when looking at the complexity of integrated healthcare programmes, where multifaceted interactions occur at the different levels of care and often without a clear link between the interventions (new and/or existing and their impact on outcomes (in terms of patients health, both patient and professional satisfaction and cost-effectiveness. Still, integrated care is seen as a core strategy in the sustainability of health and care provision in most societies in Europe and beyond. More specifically, at present, there is neither clear evidence on transferable factors of integrated care success nor a method for determining how to establish these specific success factors. The drawback of case methodology in this case, however, is that the in-depth results or lessons generated are usually highly context-specific and thus brings the challenge of transferability of findings to other settings, as different health care systems and different indications are often not comparable. Project INTEGRATE, a European Commission-funded project, has been designed to overcome these problems; it looks into four chronic conditions in different European settings, under a common methodology framework (taking a mixed-methods approach to try to overcome the issue of context specificity and limited transferability. The common methodological framework described in this paper seeks to bring together the different case study findings in a way that key lessons may be derived and transferred between countries, contexts and patient-groups, where integrated care is delivered in order to provide insight into generalisability and build on existing evidence in this field.Methodology: To compare the different integrated care experiences, a mixed-methods approach has

  2. Project INTEGRATE - a common methodological approach to understand integrated health care in Europe

    Directory of Open Access Journals (Sweden)

    Lucinda Cash-Gibson

    2014-12-01

    Full Text Available Background: The use of case studies in health services research has proven to be an excellent methodology for gaining in-depth understanding of the organisation and delivery of health care. This is particularly relevant when looking at the complexity of integrated healthcare programmes, where multifaceted interactions occur at the different levels of care and often without a clear link between the interventions (new and/or existing and their impact on outcomes (in terms of patients health, both patient and professional satisfaction and cost-effectiveness. Still, integrated care is seen as a core strategy in the sustainability of health and care provision in most societies in Europe and beyond. More specifically, at present, there is neither clear evidence on transferable factors of integrated care success nor a method for determining how to establish these specific success factors. The drawback of case methodology in this case, however, is that the in-depth results or lessons generated are usually highly context-specific and thus brings the challenge of transferability of findings to other settings, as different health care systems and different indications are often not comparable. Project INTEGRATE, a European Commission-funded project, has been designed to overcome these problems; it looks into four chronic conditions in different European settings, under a common methodology framework (taking a mixed-methods approach to try to overcome the issue of context specificity and limited transferability. The common methodological framework described in this paper seeks to bring together the different case study findings in a way that key lessons may be derived and transferred between countries, contexts and patient-groups, where integrated care is delivered in order to provide insight into generalisability and build on existing evidence in this field. Methodology: To compare the different integrated care experiences, a mixed-methods approach has

  3. Integrated Methodology for Information System Change Control Based on Enterprise Architecture Models

    Directory of Open Access Journals (Sweden)

    Pirta Ruta

    2015-12-01

    Full Text Available The information system (IS change management and governance, according to the best practices, are defined and described in several international methodologies, standards, and frameworks (ITIL, COBIT, ValIT etc.. These methodologies describe IS change management aspects from the viewpoint of their particular enterprise resource management area. The areas are mainly viewed in a partly isolated environment, and the integration of the existing methodologies is insufficient for providing unified and controlled methodological support for holistic IS change management. In this paper, an integrated change management methodology is introduced. The methodology consists of guidelines for IS change control by integrating the following significant resource management areas – information technology (IT governance, change management and enterprise architecture (EA change management. In addition, the methodology includes lists of controls applicable at different phases. The approach is based on re-use and fusion of principles used by related methodologies as well as on empirical observations about typical IS change management mistakes in enterprises.

  4. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.

    Science.gov (United States)

    Kar, Subrata; Majumder, D Dutta

    2017-08-01

    Investigation of brain cancer can detect the abnormal growth of tissue in the brain using computed tomography (CT) scans and magnetic resonance (MR) images of patients. The proposed method classifies brain cancer on shape-based feature extraction as either benign or malignant. The authors used input variables such as shape distance (SD) and shape similarity measure (SSM) in fuzzy tools, and used fuzzy rules to evaluate the risk status as an output variable. We presented a classifier neural network system (NNS), namely Levenberg-Marquardt (LM), which is a feed-forward back-propagation learning algorithm used to train the NN for the status of brain cancer, if any, and which achieved satisfactory performance with 100% accuracy. The proposed methodology is divided into three phases. First, we find the region of interest (ROI) in the brain to detect the tumors using CT and MR images. Second, we extract the shape-based features, like SD and SSM, and grade the brain tumors as benign or malignant with the concept of SD function and SSM as shape-based parameters. Third, we classify the brain cancers using neuro-fuzzy tools. In this experiment, we used a 16-sample database with SSM (μ) values and classified the benignancy or malignancy of the brain tumor lesions using the neuro-fuzzy system (NFS). We have developed a fuzzy expert system (FES) and NFS for early detection of brain cancer from CT and MR images. In this experiment, shape-based features, such as SD and SSM, were extracted from the ROI of brain tumor lesions. These shape-based features were considered as input variables and, using fuzzy rules, we were able to evaluate brain cancer risk values for each case. We used an NNS with LM, a feed-forward back-propagation learning algorithm, as a classifier for the diagnosis of brain cancer and achieved satisfactory performance with 100% accuracy. The proposed network was trained with MR image datasets of 16 cases. The 16 cases were fed to the ANN with 2 input neurons, one

  5. A comparative design and tuning for conventional fuzzy control.

    Science.gov (United States)

    Li, H X

    1997-01-01

    A new methodology is introduced for designing and tuning the scaling gains of the conventional fuzzy logic controller (FLC) based on its well-tuned linear counterpart. The conventional FLC with a linear rule base is very similar to its linear counterpart. The linear three-term controller has proportional, integral and/or derivative gains. Similarly, the conventional fuzzy three-term controller also has fuzzy proportional, integral and/or derivative gains. The new concept "fuzzy transfer function" is invented to connect these fuzzy gains with the corresponding scaling gains. The comparative gain design is presented by using the gains of the well-tuned linear counterpart as the initial fuzzy gains of the conventional FLC. Furthermore, the relationship between the scaling gains and the performance can be deduced to produce the comparative tuning algorithm, which can tune the scaling gains to their optimum by less trial and error. The performance comparison in the simulation demonstrates the viability of the new methodology.

  6. Towards the integration of formal specification in the \\'Ancora methodology

    CERN Document Server

    Fernandez-y-Fernandez, Carlos Alberto

    2011-01-01

    There are some non-formal methodologies such as RUP, OpenUP, agile methodologies such as SCRUP, XP and techniques like those proposed by UML, which allow the development of software. The software industry has struggled to generate quality software, as importance has not been given to the engineering requirements, resulting in a poor specification of requirements and software of poor quality. In order to generate a contribution to the specification of requirements, this article describes a methodological proposal, implementing formal methods to the results of the process of requirements analysis of the methodology \\'Ancora.

  7. Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems.

    Science.gov (United States)

    Chang, Kuei-Hu; Chang, Yung-Chia; Chain, Kai; Chung, Hsiang-Yu

    2016-01-01

    The advancement of high technologies and the arrival of the information age have caused changes to the modern warfare. The military forces of many countries have replaced partially real training drills with training simulation systems to achieve combat readiness. However, considerable types of training simulation systems are used in military settings. In addition, differences in system set up time, functions, the environment, and the competency of system operators, as well as incomplete information have made it difficult to evaluate the performance of training simulation systems. To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training simulation systems. Furthermore, importance-performance analysis was adopted to examine the influence of saving costs and training safety of training simulation systems. The findings of this study are expected to facilitate applying military training simulation systems, avoiding wasting of resources (e.g., low utility and idle time), and providing data for subsequent applications and analysis. To verify the method proposed in this study, the numerical examples of the performance evaluation of training simulation systems were adopted and compared with the numerical results of an AHP and a novel AHP-based ranking technique. The results verified that not only could expert-provided questionnaire information be fully considered to lower the repetition rate of performance ranking, but a two-dimensional graph could also be used to help administrators allocate limited resources, thereby enhancing the investment benefits and training effectiveness of a training simulation system.

  8. Integrated risk assessment for WFD ecological status classification applied to Llobregat river basin (Spain). Part I-Fuzzy approach to aggregate biological indicators.

    Science.gov (United States)

    Gottardo, S; Semenzin, E; Giove, S; Zabeo, A; Critto, A; de Zwart, D; Ginebreda, A; Marcomini, A

    2011-10-15

    Water Framework Directive (WFD) requirements and recommendations for Ecological Status (ES) classification of surface water bodies do not address all issues that Member States have to face in the implementation process, such as selection of appropriate stressor-specific environmental indicators, definition of class boundaries, aggregation of heterogeneous data and information and uncertainty evaluation. In this context the "One-Out, All-Out" (OOAO) principle is the suggested approach to lead the entire classification procedure and ensure conservative results. In order to support water managers in achieving a more comprehensive and realistic evaluation of ES, an Integrated Risk Assessment (IRA) methodology was developed. It is based on the Weight of Evidence approach and implements a Fuzzy Inference System in order to hierarchically aggregate a set of environmental indicators, which are grouped into five Lines of Evidence (i.e. Biology, Chemistry, Ecotoxicology, Physico-chemistry and Hydromorphology). The whole IRA methodology has been implemented as an individual module into a freeware GIS (Geographic Information System)-based Decision Support System (DSS), named MODELKEY DSS. The paper focuses on the conceptual and mathematical procedure underlying the evaluation of the most complex Line of Evidence, i.e. Biology, which identifies the biological communities that are potentially at risk and the stressors that are most likely responsible for the observed alterations. The results obtained from testing the procedure through application of the MODELKEY DSS to the Llobregat case study are reported and discussed.

  9. Foundations Of Fuzzy Control

    DEFF Research Database (Denmark)

    Jantzen, Jan

    as any PID controller. In the nonlinear domain, the stability of four standard control surfaces is analysed by means of describing functions and Nyquist plots. The self-organizing controller (SOC) is shown to be a model reference adaptive controller. There is a possibility that a nonlinear fuzzy PID......The objective of this textbook is to acquire an understanding of the behaviour of fuzzy logic controllers. Under certain conditions a fuzzy controller is equivalent to a proportional-integral-derivative (PID) controller. Using that equivalence as a link, the book applies analysis methods from...... linear and nonlinear control theory. In the linear domain, PID tuning methods and stability analyses are transferred to linear fuzzy controllers. The Nyquist plot shows the robustness of different settings of the fuzzy gain parameters. As a result, a fuzzy controller is guaranteed to perform as well...

  10. Foundations Of Fuzzy Control

    DEFF Research Database (Denmark)

    Jantzen, Jan

    linear and nonlinear control theory. In the linear domain, PID tuning methods and stability analyses are transferred to linear fuzzy controllers. The Nyquist plot shows the robustness of different settings of the fuzzy gain parameters. As a result, a fuzzy controller is guaranteed to perform as well......The objective of this textbook is to acquire an understanding of the behaviour of fuzzy logic controllers. Under certain conditions a fuzzy controller is equivalent to a proportional-integral-derivative (PID) controller. Using that equivalence as a link, the book applies analysis methods from...... as any PID controller. In the nonlinear domain, the stability of four standard control surfaces is analysed by means of describing functions and Nyquist plots. The self-organizing controller (SOC) is shown to be a model reference adaptive controller. There is a possibility that a nonlinear fuzzy PID...

  11. Assessment of BTEX-induced health risk under multiple uncertainties at a petroleum-contaminated site: An integrated fuzzy stochastic approach

    Science.gov (United States)

    Zhang, Xiaodong; Huang, Guo H.

    2011-12-01

    Groundwater pollution has gathered more and more attention in the past decades. Conducting an assessment of groundwater contamination risk is desired to provide sound bases for supporting risk-based management decisions. Therefore, the objective of this study is to develop an integrated fuzzy stochastic approach to evaluate risks of BTEX-contaminated groundwater under multiple uncertainties. It consists of an integrated interval fuzzy subsurface modeling system (IIFMS) and an integrated fuzzy second-order stochastic risk assessment (IFSOSRA) model. The IIFMS is developed based on factorial design, interval analysis, and fuzzy sets approach to predict contaminant concentrations under hybrid uncertainties. Two input parameters (longitudinal dispersivity and porosity) are considered to be uncertain with known fuzzy membership functions, and intrinsic permeability is considered to be an interval number with unknown distribution information. A factorial design is conducted to evaluate interactive effects of the three uncertain factors on the modeling outputs through the developed IIFMS. The IFSOSRA model can systematically quantify variability and uncertainty, as well as their hybrids, presented as fuzzy, stochastic and second-order stochastic parameters in health risk assessment. The developed approach haw been applied to the management of a real-world petroleum-contaminated site within a western Canada context. The results indicate that multiple uncertainties, under a combination of information with various data-quality levels, can be effectively addressed to provide supports in identifying proper remedial efforts. A unique contribution of this research is the development of an integrated fuzzy stochastic approach for handling various forms of uncertainties associated with simulation and risk assessment efforts.

  12. An Integrated Fuzzy Approach for Strategic Alliance Partner Selection in Third-Party Logistics

    Directory of Open Access Journals (Sweden)

    Burak Erkayman

    2012-01-01

    Full Text Available Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.

  13. An Integrated Fuzzy Approach for Strategic Alliance Partner Selection in Third-Party Logistics

    Science.gov (United States)

    Gundogar, Emin; Yılmaz, Aysegul

    2012-01-01

    Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model. PMID:23365520

  14. An integrated fuzzy approach for strategic alliance partner selection in third-party logistics.

    Science.gov (United States)

    Erkayman, Burak; Gundogar, Emin; Yilmaz, Aysegul

    2012-01-01

    Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy multicriteria decision making (MCDM) approach to effectively select the most appropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using fuzzy analytical hierarchy process (AHP) technique. Then we applied fuzzy technique for order preference by similarity to ideal solution (TOPSIS) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model.

  15. Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network.

    Science.gov (United States)

    Kuo, R J.; Cohen, P H.

    1999-03-01

    On-line tool wear estimation plays a very critical role in industry automation for higher productivity and product quality. In addition, appropriate and timely decision for tool change is significantly required in the machining systems. Thus, this paper is dedicated to develop an estimation system through integration of two promising technologies, artificial neural networks (ANN) and fuzzy logic. An on-line estimation system consisting of five components: (1) data collection; (2) feature extraction; (3) pattern recognition; (4) multi-sensor integration; and (5) tool/work distance compensation for tool flank wear, is proposed herein. For each sensor, a radial basis function (RBF) network is employed to recognize the extracted features. Thereafter, the decisions from multiple sensors are integrated through a proposed fuzzy neural network (FNN) model. Such a model is self-organizing and self-adjusting, and is able to learn from the experience. Physical experiments for the metal cutting process are implemented to evaluate the proposed system. The results show that the proposed system can significantly increase the accuracy of the product profile.

  16. Human-Systems Integration (HSI) Methodology Development for NASA Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A technology with game-changing potential for crew to space system interaction will be selected to develop using the HSI Methodology created through the efforts of...

  17. Assessment of Flood Vulnerability to Climate Change Using Fuzzy Operators in Seoul

    Science.gov (United States)

    Lee, M. J.

    2014-12-01

    The goal of this study is to apply the IPCC(Intergovernmental Panel on Climate Change) concept of vulnerability to climate change and verify the use of a combination of vulnerability index and fuzzy operators to flood vulnerability analysis and mapping in Seoul using GIS. In order to achieve this goal, this study identified indicators influencing floods based on literature review. We include indicators of exposure to climate(daily max rainfall, days of 80㎜ over), sensitivity(slope, geological, average DEM, Impermeability layer, topography and drainage), and adaptive capacity(retarding basin and green-infra). Also, this research used fuzzy operator model for aggregating indicators, and utilized frequency ratio to decide fuzzy membership values. Results show that number of days of precipitation above 80㎜, the distance from river and impervious surface have comparatively strong influence on flood damage. Furthermore, when precipitation is over 269㎜, areas with scare flood mitigation capacities, industrial land use, elevation of 16˜20m, within 50m distance from rivers are quite vulnerable to floods. Yeongdeungpo-gu, Yongsan-gu, Mapo-gu include comparatively large vulnerable areas. The relative weight of each factor was then converted into a fuzzy membership value and integrated as a flood vulnerability index using fuzzy operators (fuzzy AND, fuzzy OR, fuzzy algebraic sum, and fuzzy algebraic product). Comparing the results of the highest for the fuzzy AND operator, fuzzy gamma operator (γ = 0.2) is higher with improved computational. This study improved previous flood vulnerability assessment methodology by adopting fuzzy operator model. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing flood mitigation policies. Acknowledgements: The authors appreciate the support that this study has received from "Development of Time Series Disaster Mapping Technologies through Natural Disaster Factor Spatial

  18. Distributed mixed-integer fuzzy hierarchical programming for municipal solid waste management. Part I: System identification and methodology development.

    Science.gov (United States)

    Cheng, Guanhui; Huang, Guohe; Dong, Cong; Xu, Ye; Chen, Xiujuan; Chen, Jiapei

    2017-03-01

    Due to the existence of complexities of heterogeneities, hierarchy, discreteness, and interactions in municipal solid waste management (MSWM) systems such as Beijing, China, a series of socio-economic and eco-environmental problems may emerge or worsen and result in irredeemable damages in the following decades. Meanwhile, existing studies, especially ones focusing on MSWM in Beijing, could hardly reflect these complexities in system simulations and provide reliable decision support for management practices. Thus, a framework of distributed mixed-integer fuzzy hierarchical programming (DMIFHP) is developed in this study for MSWM under these complexities. Beijing is selected as a representative case. The Beijing MSWM system is comprehensively analyzed in many aspects such as socio-economic conditions, natural conditions, spatial heterogeneities, treatment facilities, and system complexities, building a solid foundation for system simulation and optimization. Correspondingly, the MSWM system in Beijing is discretized as 235 grids to reflect spatial heterogeneity. A DMIFHP model which is a nonlinear programming problem is constructed to parameterize the Beijing MSWM system. To enable scientific solving of it, a solution algorithm is proposed based on coupling of fuzzy programming and mixed-integer linear programming. Innovations and advantages of the DMIFHP framework are discussed. The optimal MSWM schemes and mechanism revelations will be discussed in another companion paper due to length limitation.

  19. Risk Identification and Assessment in PPP Infrastructure Projects using Fuzzy Analytical Hierarchy Process and Life-Cycle Methodology

    Directory of Open Access Journals (Sweden)

    Jie Li

    2012-11-01

    Full Text Available To fulfil the increasing demands of the public,Public Private Partnership (PPP has beenincreasingly used to procure infrastructureprojects, such as motor ways, bridges, tunnelsand railways. However, the risks involved inPPP projects are unique and dynamic due tolarge amount of investment and longconcession period. This paper aims to developa risk identification framework from theperspectives of project life cycle, and anassessment framework for risks associatedwith PPP project using fuzzy analyticalhierarchy process (AHP. First the paperreviews the current literature to identifycommon risks in PPP infrastructure projectsand classification methods used. The risksidentified from the literature were classifiedusing project life cycle perspectives. Followingthat, the paper presents the advantages offuzzy AHP. Furthermore, the paper provides aframework for assessment of risks in PPPprojects followed by an illustrative examplewhere the data was obtained from surveyquestionnaires. The paper concludes that risksassociated in PPP infrastructure projects areunique and therefore it is beneficial to classifythem from project life cycle perspectives, andthe proposed fuzzy AHP method is suitable forthe assessment of these risks.

  20. Data fusion based on fuzzy measures

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Choquet integral based on fuzzy measure is a very popular data fusion approach. A major problem in applying the Choquet integral is how to determine a large number of fuzzy measures as the number of attributes increases. The λ-fuzzy measure proposed by Sugeno is a powerful method to resolve this problem. However, the modeling ability of the λ-fuzzy measure is too limited to satisfy actual requirements. In this paper, an extended λ-fuzzy measure is proposed using Shapley value index, and the limitation of the λ-fuzzy measure is significantly overcome under little additional computational loads. The extended fuzzy measure has stronger modeling power than the λ-fuzzy measure, straightforwardly representing interaction among attributes. We apply the extended fuzzy measure to an artificial data set and a real dataset in an iron-steel plant. The results verify the usefulness of the extended fuzzy measure compared with other main existing methods.

  1. Enhanced adaptive fuzzy sliding mode control for uncertain nonlinear systems

    Science.gov (United States)

    Roopaei, Mehdi; Zolghadri, Mansoor; Meshksar, Sina

    2009-09-01

    In this article, a novel Adaptive Fuzzy Sliding Mode Control (AFSMC) methodology is proposed based on the integration of Sliding Mode Control (SMC) and Adaptive Fuzzy Control (AFC). Making use of the SMC design framework, we propose two fuzzy systems to be used as reaching and equivalent parts of the SMC. In this way, we make use of the fuzzy logic to handle uncertainty/disturbance in the design of the equivalent part and provide a chattering free control for the design of the reaching part. To construct the equivalent control law, an adaptive fuzzy inference engine is used to approximate the unknown parts of the system. To get rid of the chattering, a fuzzy logic model is assigned for reaching control law, which acting like the saturation function technique. The main advantage of our proposed methodology is that the structure of the system is unknown and no knowledge of the bounds of parameters, uncertainties and external disturbance are required in advance. Using Lyapunov stability theory and Barbalat's lemma, the closed-loop system is proved to be stable and convergence properties of the system is assured. Simulation examples are presented to verify the effectiveness of the method. Results are compared with some other methods proposed in the past research.

  2. Automatic segmentation of meningioma from non-contrasted brain MRI integrating fuzzy clustering and region growing

    Directory of Open Access Journals (Sweden)

    Liao Chun-Chih

    2011-08-01

    Full Text Available Abstract Background In recent years, magnetic resonance imaging (MRI has become important in brain tumor diagnosis. Using this modality, physicians can locate specific pathologies by analyzing differences in tissue character presented in different types of MR images. This paper uses an algorithm integrating fuzzy-c-mean (FCM and region growing techniques for automated tumor image segmentation from patients with menigioma. Only non-contrasted T1 and T2 -weighted MR images are included in the analysis. The study's aims are to correctly locate tumors in the images, and to detect those situated in the midline position of the brain. Methods The study used non-contrasted T1- and T2-weighted MR images from 29 patients with menigioma. After FCM clustering, 32 groups of images from each patient group were put through the region-growing procedure for pixels aggregation. Later, using knowledge-based information, the system selected tumor-containing images from these groups and merged them into one tumor image. An alternative semi-supervised method was added at this stage for comparison with the automatic method. Finally, the tumor image was optimized by a morphology operator. Results from automatic segmentation were compared to the "ground truth" (GT on a pixel level. Overall data were then evaluated using a quantified system. Results The quantified parameters, including the "percent match" (PM and "correlation ratio" (CR, suggested a high match between GT and the present study's system, as well as a fair level of correspondence. The results were compatible with those from other related studies. The system successfully detected all of the tumors situated at the midline of brain. Six cases failed in the automatic group. One also failed in the semi-supervised alternative. The remaining five cases presented noticeable edema inside the brain. In the 23 successful cases, the PM and CR values in the two groups were highly related. Conclusions Results indicated

  3. A fuzzy disaggregation technique

    Directory of Open Access Journals (Sweden)

    Alessandro Polli

    2013-05-01

    Full Text Available The aim of this paper is to analyze a problem of time series disaggregation in presence of broad information lack. In this framework it is not possible to follow standard methodologies, like those stemming from the Chow and Lin algorithm and based on probabilistic assumptions. In general terms, when information sets are limited, instead of referring to probabilistic measures it could be more appropriate to adopt an uncertainty measure satisfying only some general properties, like the fuzzy one. After a synthetic survey about fuzzy aggregation operators, we introduce a fuzzy disaggregation technique, based on Choquet capacity theory and characterized by De Finetti coherence.

  4. Assessment of Wind Turbine Structural Integrity using Response Surface Methodology

    DEFF Research Database (Denmark)

    Toft, Henrik Stensgaard; Svenningsen, Lasse; Moser, Wolfgang

    2016-01-01

    Highlights •A new approach to assessment of site specific wind turbine loads is proposed. •The approach can be applied in both fatigue and ultimate limit state. •Two different response surface methodologies have been investigated. •The model uncertainty introduced by the response surfaces is dete...

  5. Networks as integrated in research methodologies in PER

    DEFF Research Database (Denmark)

    Bruun, Jesper

    2016-01-01

    In recent years a number of researchers within the PER community have started using network analysis as a new methodology to extend our understanding of teaching and learning physics by viewing these as complex systems. In this paper, I give examples of social, cognitive, and action mapping netwo...

  6. Systemic Approach for Health Risk Assessment of Ambient Air Concentrations of Benzene in Petrochemical Environments: Integration of Fuzzy Logic, Artificial Neural Network, and IRIS Toxicity Method

    OpenAIRE

    Vahid NOVIN; Givehchi, Saeed; HOVEIDI, Hassan

    2016-01-01

    Background: Reliable methods are crucial to cope with uncertainties in the risk analysis process. The aim of this study is to develop an integrated approach to assessing risks of benzene in the petrochemical plant that produces benzene. We offer an integrated system to contribute imprecise variables into the health risk calculation.Methods: The project was conducted in Asaluyeh, southern Iran during the years from 2013 to 2014. Integrated method includes fuzzy logic and artificial neural netw...

  7. Research on Inferring ELECTRE-III’s Parameters with Fuzzy information and A Case on Naval Gun Weapon System Integration

    Directory of Open Access Journals (Sweden)

    Sun Shi Yan

    2016-01-01

    Full Text Available Multiple attributes decision making (MADM method is an important measure for system integration. Robustness analysis on MADM is a hotspot in these years which wins academe’s great attention, and is supposed to be an effective way when countering imperfect information. Setting parameters in ELECTRE-III’s is a vital and difficult step. In this paper, a method of inferring ELECTRE-III’s parameters with fuzzy information based on robustness analysis is presented. First, ELECTRE-III is transformed into a continuous smooth function of each parameter vector. Then, robustness analysis structure and a parameters inferring algorithm are provided by maximizing robustness margin based on mathematics programming. Moreover, how to resolve the programming problem is also discussed. At last, a illustrative example of Naval Gun Weapon System Integration is put forward.

  8. Tuning of Fuzzy PID Controllers

    DEFF Research Database (Denmark)

    Jantzen, Jan

    1998-01-01

    Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single......-loop controllers. The idea is to start with a tuned, conventional PID controller, replace it with an equivalent linear fuzzy controller, make the fuzzy controller nonlinear, and eventually fine-tune the nonlinear fuzzy controller. This is relevant whenever a PID controller is possible or already implemented....

  9. Integrating GIS with fuzzy multi-criteria decision making for suitable wind farm locations

    Energy Technology Data Exchange (ETDEWEB)

    Iyappan, L.; Pandian, P.K. [Tagore Engineering College. Dept. of Civil Engineering, Tamil Nadu (India)

    2012-07-01

    Wind Energy is spatial in nature and the degree of potential wind farm locations are fuzzy i.e., the boundaries among highly, moderate and least suitable is not clear cut. The study area of this research covers entire taluk of Tirumangalam, Madurai District (India). In this study, to help wind energy companies, policy-makers and investors in evaluating potential wind farm locations in the Tirumangalam Taluk (Tamil Nadu, India), an adaptation of a Geographical Information System (GIS) and Fuzzy Multi-criteria Decision Making(FMDM) approach is attended. The entire processes were completed by using open source GIS software (Quantum GIS and GRASS GIS) with help of freely available data. The software tool takes inputs such as wind power density, Slope, Transmission lines, environmental factors, and economic factors to provide an in-depth analysis for suitable location options. (Author)

  10. A fuzzy logic intelligent diagnostic system for spacecraft integrated vehicle health management

    Science.gov (United States)

    Wu, G. Gordon

    1995-01-01

    Due to the complexity of future space missions and the large amount of data involved, greater autonomy in data processing is demanded for mission operations, training, and vehicle health management. In this paper, we develop a fuzzy logic intelligent diagnostic system to perform data reduction, data analysis, and fault diagnosis for spacecraft vehicle health management applications. The diagnostic system contains a data filter and an inference engine. The data filter is designed to intelligently select only the necessary data for analysis, while the inference engine is designed for failure detection, warning, and decision on corrective actions using fuzzy logic synthesis. Due to its adaptive nature and on-line learning ability, the diagnostic system is capable of dealing with environmental noise, uncertainties, conflict information, and sensor faults.

  11. Fuzzy adaptive Kalman filter for indoor mobile target positioning with INS/WSN integrated method

    Institute of Scientific and Technical Information of China (English)

    杨海; 李威; 罗成名

    2015-01-01

    Pure inertial navigation system (INS) has divergent localization errors after a long time. In order to compensate the disadvantage, wireless sensor network (WSN) associated with the INS was applied to estimate the mobile target positioning. Taking traditional Kalman filter (KF) as the framework, the system equation of KF was established by the INS and the observation equation of position errors was built by the WSN. Meanwhile, the observation equation of velocity errors was established by the velocity difference between the INS and WSN, then the covariance matrix of Kalman filter measurement noise was adjusted with fuzzy inference system (FIS), and the fuzzy adaptive Kalman filter (FAKF) based on the INS/WSN was proposed. The simulation results show that the FAKF method has better accuracy and robustness than KF and EKF methods and shows good adaptive capacity with time-varying system noise. Finally, experimental results further prove that FAKF has the fast convergence error, in comparison with KF and EKF methods.

  12. Hybrid Fuzzy Sliding Mode Control of a DFIG Integrated into the Network

    Directory of Open Access Journals (Sweden)

    Belabbas Belkacem

    2013-12-01

    Full Text Available This paper presents the study of a variable speed wind energy conversion system using a Doubly Fed Induction Generator (DFIG based on a Fuzzy sliding mode control (FSMC applied to achieve control of active and reactive powers exchanged between the stator of the DFIG and the grid to ensure a Maximum Power Point Tracking (MPPT of a wind energy conversion system. However the principal drawback of the sliding mode, is the chattering effect which characterized by torque ripple, this phenomena is undesirable and harmful for the machines, it generates noises and additional forces of torsion on the machine shaft. In order to reduce the chattering effect, the Sign function of sliding mode controller’s discontinuous part is replaced by a fuzzy logic; we will have the fuzzy sliding mode controller (FSMC. The FSMC makes it possible to combine the performances of the two types of controllers (SMC and FLC and eliminates the chattering effect. The proposed control algorithm is applied to a DFIG where the stator is directly connected to the grid and the rotor is connected to a three-level converter structure NPC to suppress low level harmonics, higher frequencies will be filtered out by the machine. Second goal of this paper is to extract a maximum of power; the rotor side converter is controlled by using a stator flux-oriented strategy. The decoupling created by the control between active and reactive stator power allows keeping the power factor close to unity. Simulation results show that the wind turbine can operate at its optimum energy for a wide range of wind speed. Both simulation and validation results show effectiveness of the proposed control strategy is in terms of power regulation. Moreover, the fuzzy sliding mode approach is arranged so as to reduce the chattering produced in the generated power that could lead to increased mechanical stress because of strong torque variations.

  13. An Integrated Fuzzy Approach for Strategic Alliance Partner Selection in Third-Party Logistics

    OpenAIRE

    Burak Erkayman; Emin Gundogar; Aysegul Yılmaz

    2012-01-01

    Outsourcing some of the logistic activities is a useful strategy for companies in recent years. This makes it possible for firms to concentrate on their main issues and processes and presents facility to improve logistics performance, to reduce costs, and to improve quality. Therefore provider selection and evaluation in third-party logistics become important activities for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a fuzzy mu...

  14. Metrics on Noncompact Fuzzy Number Space (E^)n

    Institute of Scientific and Technical Information of China (English)

    冯玉瑚

    2004-01-01

    The theory of metric spaces of fuzzy numbers has been established and found very convenient in many research fields on fuzzy analysis such as fuzzy integrals and differentials, fuzzy differential equations, fuzzy random variables and fuzzy stochastic processes etc.. But, a large part of this theory heavily depends on the condition that fuzzy number has to have compact support set and so fails to analyze and apply noncompact fuzzy numbers. The purpose of this paper is to introduce three classes of metrics on noncompact fuzzy number space and to discuss their basic properties, completeness and separability in detail.

  15. Fuzzy approach to analysis of flood risk based on variable fuzzy sets and improved information diffusion methods

    Directory of Open Access Journals (Sweden)

    Q. Li

    2013-02-01

    Full Text Available The predictive analysis of natural disasters and their consequences is challenging because of uncertainties and incomplete data. The present article studies the use of variable fuzzy sets (VFS and improved information diffusion method (IIDM to construct a composite method. The proposed method aims to integrate multiple factors and quantification of uncertainties within a consistent system for catastrophic risk assessment. The fuzzy methodology is proposed in the area of flood disaster risk assessment to improve probability estimation. The purpose of the current study is to establish a fuzzy model to evaluate flood risk with incomplete data sets. The results of the example indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk in flood risk management.

  16. Design of Sustainable Blended Products using an Integrated Methodology

    DEFF Research Database (Denmark)

    Yunus, Nor Alafiza Binti; Gernaey, Krist; Woodley, John

    2013-01-01

    This paper presents a systematic methodology for designing blended products consisting of three stages; product design, process identification and experimental verification. The product design stage is considered in this paper. The objective of this stage is to screen and select suitable chemicals...... to be used as building blocks in the mixture design, and then to propose the blend formulations that fulfill the desired product attributes. The result is a set of blends that match the constraints, the compositions, values of the target properties and information about their miscibility. The methodology has...... been applied to design several blended products. A case study on design of blended lubricants is highlighted. The objective is to identify blended products that satisfy the product attributes with at least similar or better performance compared to conventional products....

  17. Design of Sustainable Blended Products using an Integrated Methodology

    DEFF Research Database (Denmark)

    Yunus, Nor Alafiza Binti; Gernaey, Krist; Woodley, John

    2013-01-01

    This paper presents a systematic methodology for designing blended products consisting of three stages; product design, process identification and experimental verification. The product design stage is considered in this paper. The objective of this stage is to screen and select suitable chemical...... been applied to design several blended products. A case study on design of blended lubricants is highlighted. The objective is to identify blended products that satisfy the product attributes with at least similar or better performance compared to conventional products.......This paper presents a systematic methodology for designing blended products consisting of three stages; product design, process identification and experimental verification. The product design stage is considered in this paper. The objective of this stage is to screen and select suitable chemicals...... to be used as building blocks in the mixture design, and then to propose the blend formulations that fulfill the desired product attributes. The result is a set of blends that match the constraints, the compositions, values of the target properties and information about their miscibility. The methodology has...

  18. A METHODOLOGICAL MODEL FOR INTEGRATING CHARACTER WITHIN CONTENT AND LANGUAGE INTEGRATED LEARNING IN SOCIOLOGY OF RELIGION

    Directory of Open Access Journals (Sweden)

    Moh Yasir Alimi

    2013-01-01

    Full Text Available In this article, I describe a methodological model I used in a experimental study on how to integrate character within the practice of Content and Language Integrated Learning (CLIL at the higher education Indonesia.This research can be added to research about character education and CLIL in tertiary education, giving nuances to the practice of CLIL so far predominantly a practice in primary and secondary schools.The research was conducted in Semarang State University, in the Department of Sociology and Anthropology, in Sociology of Religion bilingual class. The research indicates that the integration of character within CLIL enrich the perspective of CLIL by strengthening the use of CLIL for intellectual growth and moral development. On the other side, the use of CLIL with character education gives methods and perspectives to the practice of character education so far which so far only emphasise contents reforms without learning methods reforms. The research also reveals that the weakness of CLIL in using text for classroom learning can be overcome bythe use ofspecific reading and writing strategies. I develop a practical text strategy which can be effectively used in highly conceptual subject such as sociology of religion. Artikel ini bertujuan untuk mendeskripsikan model metodologis yang saya pakai untuk mengintegrasikannya karakter dalam Content and Language Integrated Learning (CLIL pada pendidikan tinggi di Indonesia. Penelitian ini memperkaya penelitian mengenai pendidikan karakter dan penerapan CLIL di perguruan tinggi, selama ini penelitian semacam itu hanya biasa di level lebih rendah. Penelitian dilakukan di Universitas Negeri Semarang, pada kelas bilingual yang diikuti 25 mahasiswa, dan diujikan pada mata kuliah Sosiologi Agama. Pelajaran dari penelitian ini adalah integrasi karakter dalam CLIL dapat memperkaya CLIL. Sebaliknya penggunaan CLIL untuk mendidikkan karakter di kelas bilingual mampu menjawab berbagai tantangan pendidikan

  19. Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid with Plug-in Electric Vehicle

    DEFF Research Database (Denmark)

    Ghiasi, Mohammad Iman; Aliakbar Golkar, Masoud; Hajizadeh, Amin

    2017-01-01

    This paper presents a distributed control strategy based on Fuzzy-Sliding Mode Control (FSMC) for power control of an infrastructure integrated with a DC-Microgrid, which includes photovoltaic, fuel cell and energy storage systems with Plug-in Electric Vehicles (PEVs). In order to implement the p...

  20. Design and Implementation of an Integrated Fuzzy Logic Controller for a Multi-input Multi-output System

    Directory of Open Access Journals (Sweden)

    S S Patil

    2011-04-01

    Full Text Available The design and real time implementation of an integrated fuzzy logic controller (IFLC for a multiple-input multiple-output (MIMO system is presented. The design of IFLC for an uncoupled MIMO system has been discussed. This study develops a combination of fuzzy and PID controllers (PIDC to improve the control performance of a two-input-two-output (TITO: angular position, and rotational speed system. These parameters play a vital role in radar-tracking system for military applications. To verify the applicability of proposed controller, two-motor unit plant along with indigenously designed multi-channel analog interface board of 16-bit precision is used. The proposed MIMO control system is interfaced to a PC through its parallel port. The performance of the system is studied by subjecting it to various standard test signals. The IFLC performs better than the other two controllers in tracking the input command for linear as well as nonlinear inputs such as step, square, triangular, and sine waves is observed.Defence Science Journal, 2011, 61(3, pp.219-227, DOI:http://dx.doi.org/10.14429/dsj.61.24

  1. Detection of pulmonary nodules in CT images based on fuzzy integrated active contour model and hybrid parametric mixture model.

    Science.gov (United States)

    Li, Bin; Chen, Kan; Tian, Lianfang; Yeboah, Yao; Ou, Shanxing

    2013-01-01

    The segmentation and detection of various types of nodules in a Computer-aided detection (CAD) system present various challenges, especially when (1) the nodule is connected to a vessel and they have very similar intensities; (2) the nodule with ground-glass opacity (GGO) characteristic possesses typical weak edges and intensity inhomogeneity, and hence it is difficult to define the boundaries. Traditional segmentation methods may cause problems of boundary leakage and "weak" local minima. This paper deals with the above mentioned problems. An improved detection method which combines a fuzzy integrated active contour model (FIACM)-based segmentation method, a segmentation refinement method based on Parametric Mixture Model (PMM) of juxta-vascular nodules, and a knowledge-based C-SVM (Cost-sensitive Support Vector Machines) classifier, is proposed for detecting various types of pulmonary nodules in computerized tomography (CT) images. Our approach has several novel aspects: (1) In the proposed FIACM model, edge and local region information is incorporated. The fuzzy energy is used as the motivation power for the evolution of the active contour. (2) A hybrid PMM Model of juxta-vascular nodules combining appearance and geometric information is constructed for segmentation refinement of juxta-vascular nodules. Experimental results of detection for pulmonary nodules show desirable performances of the proposed method.

  2. A changing climate: impacts on human exposures to O3 using an integrated modeling methodology

    Science.gov (United States)

    Predicting the impacts of changing climate on human exposure to air pollution requires future scenarios that account for changes in ambient pollutant concentrations, population sizes and distributions, and housing stocks. An integrated methodology to model changes in human exposu...

  3. Building a Gender and Methodology Curriculum: Integrated Skills, Exercises, and Practices

    Science.gov (United States)

    Cassese, Erin C.; Holman, Mirya R.; Schneider, Monica C.; Bos, Angela L.

    2015-01-01

    In this article, we develop an argument for better integrating the political science curricula on methodology with gender politics. We demonstrate how these two areas are presently distinct and nonoverlapping with an analysis of commonly used methodology and women and politics textbooks. We examine the implications of these results for female…

  4. A Methodology for Integrating Computer-Based Learning Tools in Science Curricula

    Science.gov (United States)

    Papadouris, Nicos; Constantinou, Constantinos P.

    2009-01-01

    This paper demonstrates a methodology for effectively integrating computer-based learning tools in science teaching and learning. This methodology provides a means of systematic analysis to identify the capabilities of particular software tools and to formulate a series of competencies relevant to physical science that could be developed by means…

  5. Lyapunov Based-Distributed Fuzzy-Sliding Mode Control for Building Integrated-DC Microgrid with Plug-in Electric Vehicle

    DEFF Research Database (Denmark)

    Ghiasi, Mohammad Iman; Aliakbar Golkar, Masoud; Hajizadeh, Amin

    2017-01-01

    This paper presents a distributed control strategy based on Fuzzy-Sliding Mode Control (FSMC) for power control of an infrastructure integrated with a DC-Microgrid, which includes photovoltaic, fuel cell and energy storage systems with Plug-in Electric Vehicles (PEVs). In order to implement...... the proposed control strategy, first a general nonlinear modeling of a DC-Microgrid based on related DC-DC converters to each DC power sources is introduced. Secondly, a power management strategy based on fuzzy control for regulating the power flow between the hybrid DC sources, PEVs is proposed. Third...

  6. A neural fuzzy controller learning by fuzzy error propagation

    Science.gov (United States)

    Nauck, Detlef; Kruse, Rudolf

    1992-01-01

    In this paper, we describe a procedure to integrate techniques for the adaptation of membership functions in a linguistic variable based fuzzy control environment by using neural network learning principles. This is an extension to our work. We solve this problem by defining a fuzzy error that is propagated back through the architecture of our fuzzy controller. According to this fuzzy error and the strength of its antecedent each fuzzy rule determines its amount of error. Depending on the current state of the controlled system and the control action derived from the conclusion, each rule tunes the membership functions of its antecedent and its conclusion. By this we get an unsupervised learning technique that enables a fuzzy controller to adapt to a control task by knowing just about the global state and the fuzzy error.

  7. Fuzzy Set Field and Fuzzy Metric

    OpenAIRE

    Gebru Gebray; B. Krishna Reddy

    2014-01-01

    The notation of fuzzy set field is introduced. A fuzzy metric is redefined on fuzzy set field and on arbitrary fuzzy set in a field. The metric redefined is between fuzzy points and constitutes both fuzziness and crisp property of vector. In addition, a fuzzy magnitude of a fuzzy point in a field is defined.

  8. Integral design methodology for collaborative design of sustainable roofs

    NARCIS (Netherlands)

    Quanjel, E.M.C.J.

    2006-01-01

    Normally the roof is the part of building which gets minimal attention to use for integration with the comfort system of the building. This is striking, as the roof is an important possible building component for containing sustainable energy systems. The sustainable energy possible options are ofte

  9. An integrated risk estimation methodology: Ship specific incident type risk

    NARCIS (Netherlands)

    S. Knapp (Sabine)

    2013-01-01

    textabstractShipping activity has increased worldwide, including parts of Australia, and maritime administrations are trying to gain a better understanding of total risk exposure in order to mitigate risk. Total risk exposure integrates risk at the individual ship level, risk due to vessel traffic d

  10. A methodology for enhanced flexibility of integrated assessment in agriculture

    NARCIS (Netherlands)

    Ewert, F.; Ittersum, van M.K.; Bezlepkina, I.; Therond, O.; Andersen, E.; Belhouchette, H.; Bockstaller, C.; Brouwer, F.M.; Heckelei, T.; Janssen, S.J.C.; Knapen, R.; Kuiper, M.; Louhichi, K.; Olsson, J.A.; Turpin, N.; Wery, J.; Wien, J.E.; Wolf, J.

    2009-01-01

    Agriculture is interrelated with the socio-economic and natural environment and faces increasingly the problem of managing its multiple functions in a sustainable way. Growing emphasis is on adequate policies that can support both agriculture and sustainable development. Integrated Assessment and Mo

  11. Integrated methodology for constructing a quantified hydrodynamic model for application to clastic petroleum reservoirs

    Energy Technology Data Exchange (ETDEWEB)

    Honarpour, M. M.; Schatzinger, R. A.; Szpakiewicz, M. J.; Jackson, S. R.; Sharma, B.; Tomutsa, L.; Chang, M. M.

    1990-01-01

    A comprehensive, multidisciplinary, stepwise methodology is developed for constructing and integration geological and engineering information for predicting petroleum reservoir performance. This methodology is based on our experience in characterizing shallow marine reservoirs, but it should also apply to other deposystems. The methodology is presented as Part 1 of this report. Three major tasks that must be studied to facilitate a systematic approach for constructing a predictive hydrodynamic model for petroleum reservoirs are addressed: (1) data collection, organization, evaluation, and integration; (2) hydrodynamic model construction and verification; and (3) prediction and ranking of reservoir parameters by numerical simulation using data derived from the model. 39 refs., 62 figs., 13 tabs.

  12. An Integrated Methodology for Emulsified Formulated Product Design

    DEFF Research Database (Denmark)

    Mattei, Michele

    and generated; and an algorithm for the model - based design of emulsified solvent mixtures has been developed. All these tools have b een im- plemented as a new template in the virtual Product - Process Design laboratory software. To illustrate the application of the proposed methodology, three case studies......The consumer oriented chemical based products are used every day by millions of people. They are structured products constituted of numerous chemicals, and many of them, especially household and personal care products, are emulsions where active ingredients, solvents, additives and surfactants...... models have been retrieved and organized in a model library; new property models have been developed for a set of thermo - physical properties of surfactants; a robust, system atic knowledge - base has been developed in relation to emulsified formulated products; chem- ical databases have been improved...

  13. Formulating an Optimal Strategic Marketing Model by Integrating SWOT and FUZZY

    Directory of Open Access Journals (Sweden)

    Zoleikha Abbasi

    2013-04-01

    Full Text Available This study is an applied research and an analytic-descriptive one in terms of nature. By identifying SWOT matrix factors in Parsian Bank through using fuzzy logic, the present study seeks to determine proper strategy in one of the strategic calculated zones in the matrix of strategy determination and the most appropriate strategy for Parsian Bank. This study has applied Cronbach's Alpha method to determine reliability. Having identified strengths and weaknesses, opportunities and threats and prioritized them by FAHP method, the results revealed that the optimal strategic zone in marketing would be an offensive strategy, in accordance of which several strategies have been suggested to the Bank.

  14. A New Algorithm for ABS/GPS Integration Based on Fuzzy-Logic in Vehicle Navigation System

    Directory of Open Access Journals (Sweden)

    Ali Amin Zadeh

    2011-10-01

    Full Text Available GPS based vehicle navigation systems have difficulties in tracking vehicles in urban canyons due to poor satellite availability. ABS (Antilock Brake System Navigation System consists of self-contained optical encoders mounted on vehicle wheels that can continuously provide accurate short-term positioning information. In this paper, a new concept regarding GPS/ABS integration, based on Fuzzy Logic is presented. The proposed algorithm is used to identify GPS position accuracy based on environment and vehicle dynamic knowledge. The GPS is used as reference during the time it is in a good condition and replaced by ABS positioning system when GPS information is unreliable. We compare our proposed algorithm with other common algorithm in real environment. Our results show that the proposed algorithm can significantly improve the stability and reliability of ABS/GPS navigation system.

  15. Health Condition Evaluation for a Shearer through the Integration of a Fuzzy Neural Network and Improved Particle Swarm Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    Lei Si

    2016-06-01

    Full Text Available In order to accurately evaluate the health condition of a shearer, a hybrid prediction method was proposed based on the integration of a fuzzy neural network (FNN and improved particle swarm optimization (IPSO. The parameters of FNN were optimized by the use of PSO, which was coupled with a premature judgment and mutation mechanism to increase the convergence speed and enhance the generalization ability. The key technologies are elaborated and the flowchart of the proposed approach was designed. Furthermore, an experiment example was carried out and the comparison results indicated that the proposed approach was feasible and outperforms others. Finally, a field application example in coal mining face was demonstrated to specify the effect of the proposed system.

  16. Multimodality Inferring of Human Cognitive States Based on Integration of Neuro-Fuzzy Network and Information Fusion Techniques

    Directory of Open Access Journals (Sweden)

    P. Bhattacharya

    2007-11-01

    Full Text Available To achieve an effective and safe operation on the machine system where the human interacts with the machine mutually, there is a need for the machine to understand the human state, especially cognitive state, when the human's operation task demands an intensive cognitive activity. Due to a well-known fact with the human being, a highly uncertain cognitive state and behavior as well as expressions or cues, the recent trend to infer the human state is to consider multimodality features of the human operator. In this paper, we present a method for multimodality inferring of human cognitive states by integrating neuro-fuzzy network and information fusion techniques. To demonstrate the effectiveness of this method, we take the driver fatigue detection as an example. The proposed method has, in particular, the following new features. First, human expressions are classified into four categories: (i casual or contextual feature, (ii contact feature, (iii contactless feature, and (iv performance feature. Second, the fuzzy neural network technique, in particular Takagi-Sugeno-Kang (TSK model, is employed to cope with uncertain behaviors. Third, the sensor fusion technique, in particular ordered weighted aggregation (OWA, is integrated with the TSK model in such a way that cues are taken as inputs to the TSK model, and then the outputs of the TSK are fused by the OWA which gives outputs corresponding to particular cognitive states under interest (e.g., fatigue. We call this method TSK-OWA. Validation of the TSK-OWA, performed in the Northeastern University vehicle drive simulator, has shown that the proposed method is promising to be a general tool for human cognitive state inferring and a special tool for the driver fatigue detection.

  17. A Comparison of Various Software Development Methodologies: Feasibility and Methods of Integration

    Directory of Open Access Journals (Sweden)

    Samir Abou El-Seoud

    2016-12-01

    Full Text Available System development methodologies which have being used in the academic and commercial environments during last two decades have advantages and disadvantages. Researchers had tried to identify objectives, scope …etc. of the methodologies by following different approaches. Each approach has its Limitation, specific interest, coverage …etc. In this paper, we tried to perform a comparative study of those methodologies which are popular and commonly used in banking and commercial environment. We tried in our study to determine objectives, scope, tools and other features of the methodologies. We also, tried to determine how and to what extent the methodologies incorporate the facilities such as project management, cost benefit analysis, documentation …etc. One of the most important aspects of our study was how to integrate the methodologies and develop a global methodology which covers the complete span of the software development life cycle? A prototype system which integrates the selected methodologies has been developed. The developed system helps analysts and designers how to choose suitable tools or to obtain guidelines on what to do in a particular situation. The prototype system has been tested during the development of a software for an ATM “Auto Teller Machine” by selecting and applying SASD methodology during software development. This resulted in the development of high quality and well documented software system.

  18. A METHODOLOGICAL MODEL FOR INTEGRATING CHARACTER WITHIN CONTENT AND LANGUAGE INTEGRATED LEARNING IN SOCIOLOGY OF RELIGION

    Directory of Open Access Journals (Sweden)

    Moh Yasir Alimi

    2014-02-01

    Full Text Available AbstractIn this article, I describe a methodological model I used in a experimental study on how to integrate character within the practice of Content and Language Integrated Learning (CLIL at the higher education Indonesia.This research can be added to research about character education and CLIL in tertiary education, giving nuances to the practice of CLIL so far predominantly a practice in primary and secondary schools.The research was conducted in Semarang State University, in the Department of Sociology and Anthropology, in Sociology of Religion bilingual class. The research indicates that the integration of character within CLIL enrich the perspective of CLIL by strengthening the use of CLIL for intellectual growth and moral development. On the other side, the use of CLIL with character education gives methods and perspectives to the practice of character education which so far only emphasise contents reforms without learning methods reforms. The research also reveals that the weakness of CLIL in using text for classroom learning can be overcome by the use of specific reading and writing strategies. I develop a practical text strategy which can be effectively used in highly conceptual subject such as sociology of religion. AbstrakArtikel ini bertujuan untuk mendeskripsikan model metodologis yang saya pakai untuk mengintegrasikannya karakter dalam Content and Language Integrated Learning (CLIL pada pendidikan tinggi di Indonesia. Penelitian ini memperkaya penelitian mengenai pendidikan karakter dan penerapan CLIL di perguruan tinggi, selama ini penelitian semacam itu hanya biasa di level lebih rendah. Penelitian dilakukan di Universitas Negeri Semarang, pada kelas bilingual yang diikuti 25 mahasiswa, dan diujikan pada mata kuliah Sosiologi Agama. Pelajaran dari penelitian ini adalah integrasi karakter dalam CLIL dapat memperkaya CLIL. Sebaliknya penggunaan CLIL untuk mendidikkan karakter di kelas bilingual mampu menjawab berbagai tantangan

  19. The KNOMAD Methodology for Integration of Multi-Disciplinary Engineering Knowledge within Aerospace Production

    NARCIS (Netherlands)

    Curran, R.; Verhagen, W.J.C.; Van Tooren, M.J.L.

    2010-01-01

    The paper is associated with the integration of multi-disciplinary knowledge within a Knowledge Based Engineering (KBE)-enabled design framework. To support this integration effort, the KNOMAD methodology has been devised. KNOMAD stands for Knowledge Optimized Manufacture And Design and is a methodo

  20. Methods in the Madness: Integrative Approaches to Methodology in Introductory Comparative Politics

    Science.gov (United States)

    Dickovick, J. Tyler

    2009-01-01

    This paper outlines an integrative approach to teaching (qualitative) comparative methods at the introductory undergraduate level. The integrative approach does not view methodological instruction as a topic to be treated cursorily at the outset of a course, but rather one to be intertwined throughout an academic term as students simultaneously…

  1. Methods in the Madness: Integrative Approaches to Methodology in Introductory Comparative Politics

    Science.gov (United States)

    Dickovick, J. Tyler

    2009-01-01

    This paper outlines an integrative approach to teaching (qualitative) comparative methods at the introductory undergraduate level. The integrative approach does not view methodological instruction as a topic to be treated cursorily at the outset of a course, but rather one to be intertwined throughout an academic term as students simultaneously…

  2. Educational Planning Methodology for the Integrated Development of Rural Areas. Reports Studies... S.83.

    Science.gov (United States)

    United Nations Educational, Scientific, and Cultural Organization, Paris (France).

    A summary of educational planning methodologies tested in Argentina, Guatemala, Brazil, Ecuador, and Bolivia, the document offers opinions and proposals about integrated rural development. Integrated rural development is seen as a social, economic, political, and cultural process in rural areas, designed to improve living conditions. Chapters…

  3. Design New Intelligent PID like Fuzzy Backstepping Controller

    Directory of Open Access Journals (Sweden)

    Arzhang Khajeh

    2014-02-01

    Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy backstepping Controller is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a PI-like controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each link, this controller is work based on manipulator dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear robot manipulator’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  4. Computer-aided bone age assessment for ethnically diverse older children using integrated fuzzy logic system

    Science.gov (United States)

    Ma, Kevin; Moin, Paymann; Zhang, Aifeng; Liu, Brent

    2010-03-01

    Bone Age Assessment (BAA) of children is a clinical procedure frequently performed in pediatric radiology to evaluate the stage of skeletal maturation based on the left hand x-ray radiograph. The current BAA standard in the US is using the Greulich & Pyle (G&P) Hand Atlas, which was developed fifty years ago and was only based on Caucasian population from the Midwest US. To bring the BAA procedure up-to-date with today's population, a Digital Hand Atlas (DHA) consisting of 1400 hand images of normal children of different ethnicities, age, and gender. Based on the DHA and to solve inter- and intra-observer reading discrepancies, an automatic computer-aided bone age assessment system has been developed and tested in clinical environments. The algorithm utilizes features extracted from three regions of interests: phalanges, carpal, and radius. The features are aggregated into a fuzzy logic system, which outputs the calculated bone age. The previous BAA system only uses features from phalanges and carpal, thus BAA result for children over age of 15 is less accurate. In this project, the new radius features are incorporated into the overall BAA system. The bone age results, calculated from the new fuzzy logic system, are compared against radiologists' readings based on G&P atlas, and exhibits an improvement in reading accuracy for older children.

  5. Integrating Software in the Teaching of Grounded Theory Methodology

    Directory of Open Access Journals (Sweden)

    Agnes Mühlmeyer-Mentzel

    2011-09-01

    Full Text Available The implementation of our hands-on seminar is based on the understanding of grounded theory methodology (GTM as a craft that can be taught to a great extent. The successful learning process requires knowing, understanding and practising the procedural steps of this craft. It is also important to open up spaces for the development of reflexive and analytical competences. Having an orientation toward a research project within the teaching-learning process assists in deepening the understanding of GTM and provides a scope for practise and reflection at the same time. It is important for us to retain the student-centred nature of the teaching-learning process to enable active and praxis-oriented student engagement instead of focusing on the transmission of factual knowledge. The structural fit that exists between GTM and ATLAS.ti allows students to experience the software as a support in the analyses of their own data. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1103171

  6. Fuzzy logic and neural networks in artificial intelligence and pattern recognition

    Science.gov (United States)

    Sanchez, Elie

    1991-10-01

    With the use of fuzzy logic techniques, neural computing can be integrated in symbolic reasoning to solve complex real world problems. In fact, artificial neural networks, expert systems, and fuzzy logic systems, in the context of approximate reasoning, share common features and techniques. A model of Fuzzy Connectionist Expert System is introduced, in which an artificial neural network is designed to construct the knowledge base of an expert system from, training examples (this model can also be used for specifications of rules in fuzzy logic control). Two types of weights are associated with the synaptic connections in an AND-OR structure: primary linguistic weights, interpreted as labels of fuzzy sets, and secondary numerical weights. Cell activation is computed through min-max fuzzy equations of the weights. Learning consists in finding the (numerical) weights and the network topology. This feedforward network is described and first illustrated in a biomedical application (medical diagnosis assistance from inflammatory-syndromes/proteins profiles). Then, it is shown how this methodology can be utilized for handwritten pattern recognition (characters play the role of diagnoses): in a fuzzy neuron describing a number for example, the linguistic weights represent fuzzy sets on cross-detecting lines and the numerical weights reflect the importance (or weakness) of connections between cross-detecting lines and characters.

  7. Integrated Forming Simulation Using State Of The Art Methodologies

    Science.gov (United States)

    Ling, David; Babeau, Jean-Luc; Skrikerud, Martin; Dammak, Younes; El Khaldi, Fouad

    2007-05-01

    Forming simulation technologies continues to develop at a rapid pace, to address formability, tolerance control, and product performance issues in an increasing range of processes, and in ever more detail. Springback prediction and compensation continue to evolve, with new concepts for improving the accuracy of the springback prediction for example by the incorporation of geometric drawbeads, and further refinement in compensation techniques. The paper highlights how the integration of simulation and geometry plays an ever more important role, in improving accuracy and reducing time. Other techniques which can help speed-up and improve simulation results for hydroforming, and tube bending are `classical' and more recently `in-process' optimization techniques. The paper will show the advantages on an industrial case, and the potential for the future. The paper will discuss how the PAM-STAMP 2G™ and PAM-TUBE 2G™ integrated solutions are successfully implemented to deliver a positive business impact, by providing virtual product quality assessment, tolerance control, and springback compensation. The paper will also discuss how new forming processes such as hot forming, superplastic forming, and tube hydroforming, can be accurately modeled using the new modules.

  8. Integrated fuzzy evaluation method of photoelectric jamming to detector%激光干扰光电探测器综合模糊评估方法

    Institute of Scientific and Technical Information of China (English)

    胥杰; 赵尚弘; 吴继礼; 李勇军; 马涛

    2007-01-01

    In photoelectric jamming system, the evaluation method of photoelectric jamming to detector plays an important role. Through analyzing the fuzzy factors which affect the efficiency of photoelectric jamming, the models of integrated fuzzy evaluation of photoelectric jamming are proposed, including degree of collimation model, energy density model, laser wavelength model, pulse width model, atmospheric condition model and surface quality model of photoelectric material. The fuzzy relation matrix could be calculated through degree of membership of single factor.Furthermore, the integrated fuzzy evaluation results of effectiveness of photoelectric jamming are induced. Also a calculation example is given. The result proves that the integrated fuzzy evaluation method of photoelectric jamming to detector is an effective way to carry out efficiency evaluation of photoelectric jamming.%在光电对抗系统中,激光干扰光电探测器的效能评估方法是有效实施光电干扰的关键.通过分析影响光电干扰效果的模糊因素,提出了激光干扰模糊评估的瞄准程度模型、能量密度模型、激光波长模型、脉冲宽度模型、大气环境模型、光电材料表面质量模型.通过单因素隶属度求解模糊关系矩阵,继而得出对光电干扰效果的综合模糊评估结果.给出了一个算例,计算结果表明,综合模糊评估方法能够有效实施光电干扰效能评估.

  9. A novel fuzzy sensor fusion algorithm

    Institute of Scientific and Technical Information of China (English)

    FU Hua; YANG Yi-kui; MA Ke; LIU Yu-jia

    2011-01-01

    A novel fusion algorithm was given based on fuzzy similarity and fuzzy integral theory.First,it calculated the fuzzy similarity among a certain sensor's measurement values and the multiple sensors' objective prediction values to determine the importance weight of each sensor and realize multi-sensor data fusion.Then according to the determined importance weight,an intelligent fusion system based on fuzzy integral theory was given,which can solve FEI-DEO and DEI-DEO fusion problems and realize the decision fusion.Simulation results were proved that fuzzy integral algorithm has enhanced the capability of handling the uncertain information and improved the intelligence degrees.

  10. Performance Analysis of Classification Methods and Alternative Linear Programming Integrated with Fuzzy Delphi Feature Selection

    Directory of Open Access Journals (Sweden)

    Bahram Izadi

    2013-09-01

    Full Text Available Among various statistical and data mining discriminant analysis proposed so far for group classification, linear programming discriminant analysis have recently attracted the researchers’ interest. This study evaluates multi-group discriminant linear programming (MDLP for classification problems against well-known methods such as neural networks, support vector machine, and so on. MDLP is less complex compared to other methods and does not suffer from local optima. However, sometimes classification becomes infeasible due to insufficient data in databases such as in the case of an Internet Service Provider (ISP small and medium-sized market considered in this research. This study proposes a fuzzy Delphi method to select and gather required data. The results show that the performance of MDLP is better than other methods with respect to correct classification, at least for small and medium-sized datasets.

  11. Vendor selection and order allocation using an integrated fuzzy mathematical programming model

    Directory of Open Access Journals (Sweden)

    Farzaneh Talebi

    2015-09-01

    Full Text Available In the context of supply chain management, supplier selection plays a key role in reaching desirable production planning. In today's competitive world, many enterprises have focused on selecting the appropriate suppliers in an attempt to reduce purchasing costs and improve quality products and services. Supplier selection is a multi-criteria decision problem, which includes different qualitative and quantitative criteria such as purchase cost, on time delivery, quality of service, etc. In this study, a fuzzy multi-objective mathematical programming model is presented to select appropriate supplier and assign desirable order to different supplies. The proposed model was implemented for an organization by considering 16 different scenarios and the results are compared with two other existing methods.

  12. An integrated approach of analytical network process and fuzzy based spatial decision making systems applied to landslide risk mapping

    Science.gov (United States)

    Abedi Gheshlaghi, Hassan; Feizizadeh, Bakhtiar

    2017-09-01

    Landslides in mountainous areas render major damages to residential areas, roads, and farmlands. Hence, one of the basic measures to reduce the possible damage is by identifying landslide-prone areas through landslide mapping by different models and methods. The purpose of conducting this study is to evaluate the efficacy of a combination of two models of the analytical network process (ANP) and fuzzy logic in landslide risk mapping in the Azarshahr Chay basin in northwest Iran. After field investigations and a review of research literature, factors affecting the occurrence of landslides including slope, slope aspect, altitude, lithology, land use, vegetation density, rainfall, distance to fault, distance to roads, distance to rivers, along with a map of the distribution of occurred landslides were prepared in GIS environment. Then, fuzzy logic was used for weighting sub-criteria, and the ANP was applied to weight the criteria. Next, they were integrated based on GIS spatial analysis methods and the landslide risk map was produced. Evaluating the results of this study by using receiver operating characteristic curves shows that the hybrid model designed by areas under the curve 0.815 has good accuracy. Also, according to the prepared map, a total of 23.22% of the area, amounting to 105.38 km2, is in the high and very high-risk class. Results of this research are great of importance for regional planning tasks and the landslide prediction map can be used for spatial planning tasks and for the mitigation of future hazards in the study area.

  13. Fuzzy-TOPSIS Method with Multi-goal

    Institute of Scientific and Technical Information of China (English)

    PANG Jin-hui; ZHANG Qiang

    2009-01-01

    To develop the technique for order preference by similarity to an ideal solution,namely,TOPSIS method with multi-goal in fuzzy decision environment.Firstly,a new approach to constructing fuzzy decision matrix by Choquet integral was proposed in muhi-goal decision system.Secondly,the concepts of fuzzy positive-ideal solution and fuzzy negative-ideal solution related to the fuzzy decision matrix were given.Finally,the credibility measure was adopted to calculate the distances to fuzzy positive-ideal solution and fuzzy negative-ideal solution.The presented fuzzy-TOPSIS method embodies well both the predetermined preferences and the weights of goals.

  14. [Interaction-directed nursing ethics. Sketch of an integrated theory, didactics and methodology of nursing ethics].

    Science.gov (United States)

    Ach, J S

    1998-06-01

    The articles seeks to outline an integrated theory, didactics, and methodology of nursing ethics. To do so requires an analysis of the social and institutional situation in which nursing takes place as well as reflections on the theoretical status of nursing ethics as part of so-called applied ethics. From this starting point didactical and methodological conclusions may be drawn which finally lead to an interaction oriented ethics of nursing.

  15. Fuzzy logic knowledge bases in integrated landscape assessment: examples and possibilities.

    Science.gov (United States)

    Keith M. Reynolds

    2001-01-01

    The literature on ecosystem management has articulated the need for integration across disciplines and spatial scales, but convincing demonstrations of integrated analysis to support ecosystem management are lacking. This paper focuses on integrated ecological assessment because ecosystem management fundamentally is concerned with integrated management, which...

  16. Fuzzy Deterrence

    Science.gov (United States)

    2010-05-01

    the world of logic than friction in mechanics. — Charles Sanders Peirce 1 Rational deterrence theory rests on the foundation that...4 Kosko, Fuzzy Thinking, 4-17. 5 Daniel McNeill and Paul Freiberger, Fuzzy Logic: The Revolutionary Computer Technology That Is Changing Our...1 McNeill and Freiberger, Fuzzy Logic, 174. 2 Yarger, Little Book on Big Strategy, 16. 3 Mukaidono, Fuzzy Logic for

  17. APPLICATION OF INTEGRATED INTELLIGENT METHODOLOGY TO PREDICT STABILITY AND SUPPORTING DECISION IN UNDERGROUND DRIFT

    Institute of Scientific and Technical Information of China (English)

    Lai Xingping; Wu Yongping; Zhang Bingchuan; Cai Meifeng

    2000-01-01

    The present study shows that naturally the enormous engineering structure interaction with medium material, geometry or non-linearity hazardous simulation experiment, response analysis and computing theory have been regarded as a high-level question in the architecture, bridge, tunnel, hydraulic, etc engineering fields.Approaches an integrated intelligent methodology to predict stability and supporting decision in underground drift based on neural network modelling on coal-rock mechanical problem is proposed.By the terms of the non-linearity numerical simulation, this paper develops integrated intelligent methodology to research on the structure hazardous response strata soft-rock drifts.

  18. Integration of Hybrid PV/Wind Generation System Using Fuzzy MPPT in Grid Connected System for Remote Area

    Directory of Open Access Journals (Sweden)

    Soedibyo

    2016-01-01

    Full Text Available Photovoltaic and wind are renewable energy resources that widely used and grow rapidly in fulfilling electricity demand. Powers from both technologies depend on sunlight intensity and wind speed. For small scale power generation, DC voltage from both technologies is low and requires step-up converter to raise DC voltage ratio before converted into AC voltage. To optimize this system, step-up converter must have high ratio and efficiency to a distance of wide voltage input. This paper proposed an operation simulation and arrangement of DC-DC converter along with DC-AC from hybrid source PV-Wind which integrated to grid utilities without using storage device. High Gain Integrated Cascade Boost (HGICB is DC-DC converter that has quadratic voltage ratio and used in this research. Then DC link connected to Voltage Source Inverter (VSI which interconnected with utility grid and controlled by current control method. The total installed capacity of hybrid source is 4.4 kW. Wind turbine uses PMSG along with full bridge rectifier. To maximize and stabilize the generated power, MPPT fuzzy is used. Result from the simulation shows that converter capable to maintain maximum power whether from PV and wind turbine which canalized to utility grid in various irradiation condition, wind speed, and grid load alteration.

  19. Beyond integrating social sciences: Reflecting on the place of life sciences in empirical bioethics methodologies.

    Science.gov (United States)

    Mertz, Marcel; Schildmann, Jan

    2017-07-21

    Empirical bioethics is commonly understood as integrating empirical research with normative-ethical research in order to address an ethical issue. Methodological analyses in empirical bioethics mainly focus on the integration of socio-empirical sciences (e.g. sociology or psychology) and normative ethics. But while there are numerous multidisciplinary research projects combining life sciences and normative ethics, there is few explicit methodological reflection on how to integrate both fields, or about the goals and rationales of such interdisciplinary cooperation. In this paper we will review some drivers for the tendency of empirical bioethics methodologies to focus on the collaboration of normative ethics with particularly social sciences. Subsequently, we argue that the ends of empirical bioethics, not the empirical methods, are decisive for the question of which empirical disciplines can contribute to empirical bioethics in a meaningful way. Using already existing types of research integration as a springboard, five possible types of research which encompass life sciences and normative analysis will illustrate how such cooperation can be conceptualized from a methodological perspective within empirical bioethics. We will conclude with a reflection on the limitations and challenges of empirical bioethics research that integrates life sciences.

  20. Design Intelligent Model base Online Tuning Methodology for Nonlinear System

    Directory of Open Access Journals (Sweden)

    Ali Roshanzamir

    2014-04-01

    Full Text Available In various dynamic parameters systems that need to be training on-line adaptive control methodology is used. In this paper fuzzy model-base adaptive methodology is used to tune the linear Proportional Integral Derivative (PID controller. The main objectives in any systems are; stability, robust and reliability. However PID controller is used in many applications but it has many challenges to control of continuum robot. To solve these problems nonlinear adaptive methodology based on model base fuzzy logic is used. This research is used to reduce or eliminate the PID controller problems based on model reference fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  1. Fuzzy Cores and Fuzzy Balancedness

    NARCIS (Netherlands)

    van Gulick, G.; Norde, H.W.

    2011-01-01

    We study the relation between the fuzzy core and balancedness for fuzzy games. For regular games, this relation has been studied by Bondareva (1963) and Shapley (1967). First, we gain insight in this relation when we analyse situations where the fuzzy game is continuous. Our main result shows that a

  2. Fuzzy Cores and Fuzzy Balancedness

    NARCIS (Netherlands)

    van Gulick, G.; Norde, H.W.

    2011-01-01

    We study the relation between the fuzzy core and balancedness for fuzzy games. For regular games, this relation has been studied by Bondareva (1963) and Shapley (1967). First, we gain insight in this relation when we analyse situations where the fuzzy game is continuous. Our main result shows that

  3. Integrated Evaluation of Urban Water Bodies for Pollution Abatement Based on Fuzzy Multicriteria Decision Approach.

    Science.gov (United States)

    Hashim, Sarfraz; Yuebo, Xie; Saifullah, Muhammad; Nabi Jan, Ramila; Muhetaer, Adila

    2015-01-01

    Today's ecology is erected with miscellaneous framework. However, numerous sources deteriorate it, such as urban rivers that directly cause the environmental pollution. For chemical pollution abatement from urban water bodies, many techniques were introduced to rehabilitate the water quality of these water bodies. In this research, Bacterial Technology (BT) was applied to urban rivers escalating the necessity to control the water pollution in different places (Xuxi River (XXU); Gankeng River (GKS); Xia Zhang River (XZY); Fenghu and Song Yang Rivers (FSR); Jiu Haogang River (JHH)) in China. For data analysis, the physiochemical parameters such as temperature, chemical oxygen demand (COD), dissolved oxygen (DO), total phosphorus (TP), and ammonia nitrogen (NH3N) were determined before and after the treatment. Multicriteria Decision Making (MCDM) method was used for relative significance of different water quality on each station, based on fuzzy analytical hierarchy process (FAHP). The overall results revealed that the pollution is exceeding at "JHH" due to the limit of "COD" as critical water quality parameter and after treatment, an abrupt recovery of the rivers compared with the average improved efficiency of nutrients was 79%, 74%, 68%, and 70% of COD, DO, TP, and NH3N, respectively. The color of the river's water changed to its original form and aquatic living organism appeared with clear effluents from them.

  4. Modeling uncertainty in risk assessment: an integrated approach with fuzzy set theory and Monte Carlo simulation.

    Science.gov (United States)

    Arunraj, N S; Mandal, Saptarshi; Maiti, J

    2013-06-01

    Modeling uncertainty during risk assessment is a vital component for effective decision making. Unfortunately, most of the risk assessment studies suffer from uncertainty analysis. The development of tools and techniques for capturing uncertainty in risk assessment is ongoing and there has been a substantial growth in this respect in health risk assessment. In this study, the cross-disciplinary approaches for uncertainty analyses are identified and a modified approach suitable for industrial safety risk assessment is proposed using fuzzy set theory and Monte Carlo simulation. The proposed method is applied to a benzene extraction unit (BEU) of a chemical plant. The case study results show that the proposed method provides better measure of uncertainty than the existing methods as unlike traditional risk analysis method this approach takes into account both variability and uncertainty of information into risk calculation, and instead of a single risk value this approach provides interval value of risk values for a given percentile of risk. The implications of these results in terms of risk control and regulatory compliances are also discussed.

  5. Integration of Fuzzy and Probabilistic Information in the Description of Hydraulic Conductivity

    Science.gov (United States)

    Druschel, B.; Ozbek, M.; Pinder, G.

    2004-12-01

    Evaluation of the heterogeneity of hydraulic conductivity, K, is a well-known problem in groundwater hydrology. The open question is how to fully represent a given highly heterogeneous K field and its inherent uncertainty at least cost. Today, most K fields are analyzed using field test data and probability theory. Uncertainty is usually reported in the spatial covariance. In an attempt to develop a more cost effective method which still provides an accurate approximation of a K field, we propose using an evidence theory framework to merge probabilistic and fuzzy (or possibilistic) information in an effort to improve our ability to fully define a K field. The tool chosen to fuse probabilistic information obtained via experiment and subjective information provided by the groundwater professional is Dempster's Rule of Combination. In using this theory we must create mass assignments for our subject of interest, describing the degree of evidence that supports the presence of our subject in a particular set. These mass assignments can be created directly from the probabilistic information and, in the case of the subjective information, from feedback we obtain from an expert. The fusion of these two types of information provides a better description of uncertainty than would typically be available with just probability theory alone.

  6. Integrated Evaluation of Urban Water Bodies for Pollution Abatement Based on Fuzzy Multicriteria Decision Approach

    Directory of Open Access Journals (Sweden)

    Sarfraz Hashim

    2015-01-01

    Full Text Available Today’s ecology is erected with miscellaneous framework. However, numerous sources deteriorate it, such as urban rivers that directly cause the environmental pollution. For chemical pollution abatement from urban water bodies, many techniques were introduced to rehabilitate the water quality of these water bodies. In this research, Bacterial Technology (BT was applied to urban rivers escalating the necessity to control the water pollution in different places (Xuxi River (XXU; Gankeng River (GKS; Xia Zhang River (XZY; Fenghu and Song Yang Rivers (FSR; Jiu Haogang River (JHH in China. For data analysis, the physiochemical parameters such as temperature, chemical oxygen demand (COD, dissolved oxygen (DO, total phosphorus (TP, and ammonia nitrogen (NH3N were determined before and after the treatment. Multicriteria Decision Making (MCDM method was used for relative significance of different water quality on each station, based on fuzzy analytical hierarchy process (FAHP. The overall results revealed that the pollution is exceeding at “JHH” due to the limit of “COD” as critical water quality parameter and after treatment, an abrupt recovery of the rivers compared with the average improved efficiency of nutrients was 79%, 74%, 68%, and 70% of COD, DO, TP, and NH3N, respectively. The color of the river’s water changed to its original form and aquatic living organism appeared with clear effluents from them.

  7. 基于模糊积分的支持向量机动态集成方法%Dynamic integration of support vector machines based on fuzzy integral

    Institute of Scientific and Technical Information of China (English)

    郑春颖; 王晓丹; 郑全弟; 权文

    2011-01-01

    确定模糊密度是应用模糊积分进行融合的核心问题.分析了目前存在的各类模糊密度赋值方法存在的不足,在探索证据相互关系的基础上,提出了证据支持度的概念,并基于证据支持度给出了一种动态模糊密度赋值方法,分析了分类器之间的差异性对证据支持度的影响,引入了影响因子,进一步完善了证据支持度的内涵.实验表明,本文算法较之单支持向量机、基于投票的支持向量机、以基分类器精度作为模糊密度的静态模糊积分支持向量机集成以及一种基于自适应模糊密度赋值的模糊积分方法用于支持向量机集成,分类精度均得到提升.%The core problem in using fuzzy integral is to determine the fuzzy densities. Through analyzing the disadvantage of the foregone methods of determining fuzzy densities, a new method of determining fuzzy densities adaptively is presented depending upon evidences support degree which is defined based on the interrelation of evidences. The influence of diversity measure among sorters on the evidence support degree is analyzed, and an influencing factor is put forward to perfect the meaning of the evidence support degree. Experimental results indicate that the proposed method has high precision compared with the single support vector machine, voting-based support vector machines, support vector machines static fuzzy integral using the precision of classifiers as fuzzy densities, and fuzzy integral based on fuzzy densities determined adaptively using for support vector machines ensemble.

  8. The Integration of Project-Based Methodology into Teaching in Machine Translation

    Science.gov (United States)

    Madkour, Magda

    2016-01-01

    This quantitative-qualitative analytical research aimed at investigating the effect of integrating project-based teaching methodology into teaching machine translation on students' performance. Data was collected from the graduate students in the College of Languages and Translation, at Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi…

  9. Integration of process design and controller design for chemical processes using model-based methodology

    DEFF Research Database (Denmark)

    Abd.Hamid, Mohd-Kamaruddin; Sin, Gürkan; Gani, Rafiqul

    2010-01-01

    In this paper, a novel systematic model-based methodology for performing integrated process design and controller design (IPDC) for chemical processes is presented. The methodology uses a decomposition method to solve the IPDC typically formulated as a mathematical programming (optimization...... with constraints) problem. Accordingly the optimization problem is decomposed into four sub-problems: (i) pre-analysis, (ii) design analysis, (iii) controller design analysis, and (iv) final selection and verification, which are relatively easier to solve. The methodology makes use of thermodynamic-process...... insights and the reverse design approach to arrive at the final process design–controller design decisions. The developed methodology is illustrated through the design of: (a) a single reactor, (b) a single separator, and (c) a reactor–separator-recycle system and shown to provide effective solutions...

  10. Fuzzy Decision-Making Fuser (FDMF for Integrating Human-Machine Autonomous (HMA Systems with Adaptive Evidence Sources

    Directory of Open Access Journals (Sweden)

    Yu-Ting Liu

    2017-06-01

    Full Text Available A brain-computer interface (BCI creates a direct communication pathway between the human brain and an external device or system. In contrast to patient-oriented BCIs, which are intended to restore inoperative or malfunctioning aspects of the nervous system, a growing number of BCI studies focus on designing auxiliary systems that are intended for everyday use. The goal of building these BCIs is to provide capabilities that augment existing intact physical and mental capabilities. However, a key challenge to BCI research is human variability; factors such as fatigue, inattention, and stress vary both across different individuals and for the same individual over time. If these issues are addressed, autonomous systems may provide additional benefits that enhance system performance and prevent problems introduced by individual human variability. This study proposes a human-machine autonomous (HMA system that simultaneously aggregates human and machine knowledge to recognize targets in a rapid serial visual presentation (RSVP task. The HMA focuses on integrating an RSVP BCI with computer vision techniques in an image-labeling domain. A fuzzy decision-making fuser (FDMF is then applied in the HMA system to provide a natural adaptive framework for evidence-based inference by incorporating an integrated summary of the available evidence (i.e., human and machine decisions and associated uncertainty. Consequently, the HMA system dynamically aggregates decisions involving uncertainties from both human and autonomous agents. The collaborative decisions made by an HMA system can achieve and maintain superior performance more efficiently than either the human or autonomous agents can achieve independently. The experimental results shown in this study suggest that the proposed HMA system with the FDMF can effectively fuse decisions from human brain activities and the computer vision techniques to improve overall performance on the RSVP recognition task. This

  11. Fuzzy Ideals and Fuzzy Distributive Lattices%Fuzzy Ideals and Fuzzy Distributive Lattices*

    Institute of Scientific and Technical Information of China (English)

    S.H.Dhanani; Y. S. Pawar

    2011-01-01

    Our main objective is to study properties of a fuzzy ideals (fuzzy dual ideals). A study of special types of fuzzy ideals (fuzzy dual ideals) is also furnished. Some properties of a fuzzy ideals (fuzzy dual ideals) are furnished. Properties of a fuzzy lattice homomorphism are discussed. Fuzzy ideal lattice of a fuzzy lattice is defined and discussed. Some results in fuzzy distributive lattice are proved.

  12. Design of integrated pitch axis for autopilot/autothrottle and integrated lateral axis for autopilot/yaw damper for NASA TSRV airplane using integral LQG methodology

    Science.gov (United States)

    Kaminer, Isaac; Benson, Russell A.; Coleman, Edward E.; Ebrahimi, Yaghoob S.

    1990-01-01

    Two designs are presented for control systems for the NASA Transport System Research Vehicle (TSRV) using integral Linear Quadratic Gaussian (LQG) methodology. The first is an integrated longitudinal autopilot/autothrottle design and the second design is an integrated lateral autopilot/yaw damper/sideslip controller design. It is shown that a systematic top-down approach to a complex design problem combined with proper application of modern control synthesis techniques yields a satisfactory solution in a reasonable period of time.

  13. Integration of Adaptive Neuro-Fuzzy Inference System, Neural Networks and Geostatistical Methods for Fracture Density Modeling

    Directory of Open Access Journals (Sweden)

    Ja’fari A.

    2014-01-01

    Full Text Available Image logs provide useful information for fracture study in naturally fractured reservoir. Fracture dip, azimuth, aperture and fracture density can be obtained from image logs and have great importance in naturally fractured reservoir characterization. Imaging all fractured parts of hydrocarbon reservoirs and interpreting the results is expensive and time consuming. In this study, an improved method to make a quantitative correlation between fracture densities obtained from image logs and conventional well log data by integration of different artificial intelligence systems was proposed. The proposed method combines the results of Adaptive Neuro-Fuzzy Inference System (ANFIS and Neural Networks (NN algorithms for overall estimation of fracture density from conventional well log data. A simple averaging method was used to obtain a better result by combining results of ANFIS and NN. The algorithm applied on other wells of the field to obtain fracture density. In order to model the fracture density in the reservoir, we used variography and sequential simulation algorithms like Sequential Indicator Simulation (SIS and Truncated Gaussian Simulation (TGS. The overall algorithm applied to Asmari reservoir one of the SW Iranian oil fields. Histogram analysis applied to control the quality of the obtained models. Results of this study show that for higher number of fracture facies the TGS algorithm works better than SIS but in small number of fracture facies both algorithms provide approximately same results.

  14. Analysis of algal bloom risk with uncertainties in lakes by integrating self-organizing map and fuzzy information theory.

    Science.gov (United States)

    Chen, Qiuwen; Rui, Han; Li, Weifeng; Zhang, Yanhui

    2014-06-01

    Algal blooms are a serious problem in waters, which damage aquatic ecosystems and threaten drinking water safety. However, the outbreak mechanism of algal blooms is very complex with great uncertainty, especially for large water bodies where environmental conditions have obvious variation in both space and time. This study developed an innovative method which integrated a self-organizing map (SOM) and fuzzy information diffusion theory to comprehensively analyze algal bloom risks with uncertainties. The Lake Taihu was taken as study case and the long-term (2004-2010) on-site monitoring data were used. The results showed that algal blooms in Taihu Lake were classified into four categories and exhibited obvious spatial-temporal patterns. The lake was mainly characterized by moderate bloom but had high uncertainty, whereas severe blooms with low uncertainty were observed in the northwest part of the lake. The study gives insight on the spatial-temporal dynamics of algal blooms, and should help government and decision-makers outline policies and practices on bloom monitoring and prevention. The developed method provides a promising approach to estimate algal bloom risks under uncertainties.

  15. Analysis of algal bloom risk with uncertainties in lakes by integrating self-organizing map and fuzzy information theory

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Qiuwen, E-mail: qchen@rcees.ac.cn [RCEES, Chinese Academy of Sciences, Shuangqinglu 18, Beijing 10085 (China); China Three Gorges University, Daxuelu 8, Yichang 443002 (China); CEER, Nanjing Hydraulics Research Institute, Guangzhoulu 223, Nanjing 210029 (China); Rui, Han; Li, Weifeng; Zhang, Yanhui [RCEES, Chinese Academy of Sciences, Shuangqinglu 18, Beijing 10085 (China)

    2014-06-01

    Algal blooms are a serious problem in waters, which damage aquatic ecosystems and threaten drinking water safety. However, the outbreak mechanism of algal blooms is very complex with great uncertainty, especially for large water bodies where environmental conditions have obvious variation in both space and time. This study developed an innovative method which integrated a self-organizing map (SOM) and fuzzy information diffusion theory to comprehensively analyze algal bloom risks with uncertainties. The Lake Taihu was taken as study case and the long-term (2004–2010) on-site monitoring data were used. The results showed that algal blooms in Taihu Lake were classified into four categories and exhibited obvious spatial–temporal patterns. The lake was mainly characterized by moderate bloom but had high uncertainty, whereas severe blooms with low uncertainty were observed in the northwest part of the lake. The study gives insight on the spatial–temporal dynamics of algal blooms, and should help government and decision-makers outline policies and practices on bloom monitoring and prevention. The developed method provides a promising approach to estimate algal bloom risks under uncertainties. - Highlights: • An innovative method is developed to analyze algal bloom risks with uncertainties. • The algal blooms in Taihu Lake showed obvious spatial and temporal patterns. • The lake is mainly characterized as moderate bloom but with high uncertainty. • Severe bloom with low uncertainty appeared occasionally in the northwest part. • The results provide important information to bloom monitoring and management.

  16. Modeling of Information Sharing Enablers for building Trust in Indian Manufacturing Industry: An Integrated ISM and Fuzzy MICMAC Approach

    Directory of Open Access Journals (Sweden)

    M K KHURANA

    2010-06-01

    Full Text Available Trust is regarded as one of the most critical and essential ingredient in most of business activities for collaborative relationship among the supply chain members. Maintaining and building trust among supply chain members depends mainly upon continued commitment to communication together with sharing information. Trust becomes critical when uncertainty and asymmetric information are present in the transaction of a supply chain. Information sharing system has very critical importance for the creation and maintenance of Trust. Trust is concerned with both the receipt and the dissemination of information. The present research aims to provide a comprehensive framework for the various important factors of information sharing system affecting the level of trust in supply chain management. ISM and Fuzzy MICMAC have been deployed to identify and classify the key criterion of information sharing enablers that influence trust based on their direct and indirect relationship. In this paper role of different factors of information sharing those responsible for infusing trust has been analyzed. In this research, an integrated model of information sharing enablers has been developed which may be helpful to supply chain managers to employ this model in order to identify and classify the important criteria for their needs and to reveal the direct and indirect effects of each criterion on the trust building process in supply chain management.

  17. A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses

    Science.gov (United States)

    Castro, Felipe González; Kellison, Joshua G.; Boyd, Stephen J.; Kopak, Albert

    2011-01-01

    Mixed methods research has gained visibility within the last few years, although limitations persist regarding the scientific caliber of certain mixed methods research designs and methods. The need exists for rigorous mixed methods designs that integrate various data analytic procedures for a seamless transfer of evidence across qualitative and quantitative modalities. Such designs can offer the strength of confirmatory results drawn from quantitative multivariate analyses, along with “deep structure” explanatory descriptions as drawn from qualitative analyses. This article presents evidence generated from over a decade of pilot research in developing an integrative mixed methods methodology. It presents a conceptual framework and methodological and data analytic procedures for conducting mixed methods research studies, and it also presents illustrative examples from the authors' ongoing integrative mixed methods research studies. PMID:22167325

  18. A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses.

    Science.gov (United States)

    Castro, Felipe González; Kellison, Joshua G; Boyd, Stephen J; Kopak, Albert

    2010-09-20

    Mixed methods research has gained visibility within the last few years, although limitations persist regarding the scientific caliber of certain mixed methods research designs and methods. The need exists for rigorous mixed methods designs that integrate various data analytic procedures for a seamless transfer of evidence across qualitative and quantitative modalities. Such designs can offer the strength of confirmatory results drawn from quantitative multivariate analyses, along with "deep structure" explanatory descriptions as drawn from qualitative analyses. This article presents evidence generated from over a decade of pilot research in developing an integrative mixed methods methodology. It presents a conceptual framework and methodological and data analytic procedures for conducting mixed methods research studies, and it also presents illustrative examples from the authors' ongoing integrative mixed methods research studies.

  19. Integrating the human element into the systems engineering process and MBSE methodology.

    Energy Technology Data Exchange (ETDEWEB)

    Tadros, Michael Samir.

    2013-12-01

    In response to the challenges related to the increasing size and complexity of systems, organizations have recognized the need to integrate human considerations in the beginning stages of systems development. Human Systems Integration (HSI) seeks to accomplish this objective by incorporating human factors within systems engineering (SE) processes and methodologies, which is the focus of this paper. A representative set of HSI methods from multiple sources are organized, analyzed, and mapped to the systems engineering Vee-model. These methods are then consolidated and evaluated against the SE process and Models-Based Systems Engineering (MBSE) methodology to determine where and how they could integrate within systems development activities in the form of specific enhancements. Overall conclusions based on these evaluations are presented and future research areas are proposed.

  20. On Fuzzy Simplex and Fuzzy Convex Hull

    Institute of Scientific and Technical Information of China (English)

    Dong QIU; Wei Quan ZHANG

    2011-01-01

    In this paper,we discuss fuzzy simplex and fuzzy convex hull,and give several representation theorems for fuzzy simplex and fuzzy convex hull.In addition,by giving a new characterization theorem of fuzzy convex hull,we improve some known results about fuzzy convex hull.

  1. Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

    Directory of Open Access Journals (Sweden)

    Khairy Sayed

    2016-07-01

    Full Text Available This paper presents the control and simulation of an electric vehicle (EV charging station using a three-level converter on the grid-side as well as on the EV-side. The charging station control schemes with three-level AC/DC power conversion and a bidirectional DC/DC charging regulator are described. The integration of EVs to the power grid provides an improvement of the grid reliability and stability. EVs are considered an asset to the smart grid to optimize effective performance economically and environmentally under various operation conditions, and more significantly to sustain the resiliency of the grid in the case of emergency conditions and disturbance events. The three-level grid side converter (GSC can participate in the reactive power support or grid voltage control at the grid interfacing point or the common coupling point (PCC. A fuzzy logic proportional integral (FL-PI controller is proposed to control the GSC converter. The controllers used are verified and tested by simulation to evaluate their performance using MATLAB/SIMULINK. The comparison of a PI-controller and a PI-Fuzzy controller for the EV charging station shows the effectiveness of the proposed FL-PI controller over conventional PI controller for same circuit operating conditions. A good performance for PI-Fuzzy in terms of settling time and peak overshoot can observed from the simulation results.

  2. Fuzzy hybrid MCDM approach for selection of wind turbine service technicians

    Directory of Open Access Journals (Sweden)

    Goutam Kumar Bose

    2016-01-01

    Full Text Available This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis which are integrated through group decision making (GDM method in the model for selection of wind turbine service technicians’ ranking. Here a group of experts from different fields of expertise are engaged to finalize the decision. Series of tests are conducted regarding physical fitness, technical written test, practical test along with general interview and medical examination to facilitate the final selection using the above techniques. In contrast to single decision making approaches, the proposed group decision making model efficiently supports the wind turbine service technicians ranking process. The effectiveness of the proposed approach manifest from the case study of service technicians required for the maintenance department of wind power plant using Fuzzy ARAS and Fuzzy MOORA. This set of potential technicians is evaluated based on five main criteria.

  3. Bulanık Analitik Hiyerarşi Süreci ile Uygun Altı Sigma Metodolojisinin Seçimi(The Selection of Appropriate Six Sigma Methodology by Using Fuzzy Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Çiğdem SOFYALIOĞLU

    2009-01-01

    Full Text Available Six sigma is considered as a business strategy that depends on the continuous improvement approach that tries to eliminate the process variability and aims to decrease the scrap in business processes by using statistical tools and techniques. In this study, first the differences between Six Sigma Improvement Model and Design for Six Sigma will be given and then the proper methodology for the business in order to achieve its goals will be determined by using fuzzy AHP which is one of the multicriteria decision making techniques.

  4. Methodology for design of adaptive interfaces for diagnostic workstations with integrated images and reports

    Science.gov (United States)

    Harreld, Michael R.; Valentino, Daniel J.; Liu, Brent J.; El-Saden, Suzie; Duckwiler, Gary R.

    1998-06-01

    Diagnostic workstations have generally lacked acceptance due to awkward interfaces, poor usability and lack of clinical data integration. We developed a new methodology for the design and implementation of diagnostic workstations and applied the methodology in diagnostic neuroradiology. The methodology facilitated the objective design and evaluation of optimal diagnostic features, including the integration of images and reports, and the implementation of intelligent and adaptive graphical user interfaces. As a test of this new methodology, we developed and evaluated a neuroradiological diagnostic workstation. The general goals of diagnostic neuroradiologists were modeled and directly used in the design of the UCLA Digital ViewBox, an object-oriented toolkit for medical imaging workstations. For case-specific goals, an object-oriented protocol toolkit was developed for rapid development and integration of new protocols, modes, and tools. Each protocol defines a way to arrange and process data in order to accomplish diagnostic goals that are specific to anatomy (e.g., a spine protocol), or to a suspected pathology (e.g., a tumor protocol). Each protocol was divided into modes that represent diagnostic reading tasks. Each mode was further broken down into functions supporting that task. Via a data mediator engine, the workstation communicated with clinical data repositories, including the UCLA HIS, Clinical RIS/PACS and individual DICOM compatible scanners. The data mediator served to transparently integrate, retrieve, and cache image and report data. Task-oriented Reading protocols automatically present the appropriate diagnostic information and diagnostic tools to the radiologist. We describe a protocol toolkit that enables the rapid design and implementation of customized reading protocols. We also present an intelligent layer that enables the automatic presentation of the appropriate information. This new methodology for diagnostic workstation design led to an

  5. 76 FR 50188 - Notice of Proposed Methodology for the Delaware River and Bay Integrated List Water Quality...

    Science.gov (United States)

    2011-08-12

    ... COMMISSION Notice of Proposed Methodology for the Delaware River and Bay Integrated List Water Quality... methodology proposed to be used in the 2012 Delaware River and Bay Integrated List Water Quality Assessment is... to 609-883-9522; by U.S. Mail to DRBC, Attn: Water Quality Assessment 2012, P.O. Box 7360, West...

  6. Fuzzy Riesz subspaces, fuzzy ideals, fuzzy bands and fuzzy band projections

    OpenAIRE

    Hong Liang

    2015-01-01

    Fuzzy ordered linear spaces, Riesz spaces, fuzzy Archimedean spaces and $\\sigma$-complete fuzzy Riesz spaces were defined and studied in several works. Following the efforts along this line, we define fuzzy Riesz subspaces, fuzzy ideals, fuzzy bands and fuzzy band projections and establish their fundamental properties.

  7. Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS

    Indian Academy of Sciences (India)

    Rohan Kumar; R Anbalagan

    2015-03-01

    A comprehensive study for the identification of landslide susceptible zones using landslide frequency ratio and fuzzy logic in GIS environment is presented for Tehri reservoir rim region (Uttarakhand, India). Temporal remote sensing data was used to prepare important landslide causative factor layers and landslide inventory. Primary and secondary topographic attributes namely slope, aspect, relative relief, profile curvature, topographic wetness index, and stream power index, were derived from digital elevation model. Landslide frequency ratio technique was adopted to correlate factors with landslides. Further, fuzzy logic method was applied for the integration of factors (causative factor) to map landslide susceptible zones. Normalized landslide frequency ratio value was used for the fuzzy membership function and different fuzzy operators were considered for the preparation of landslide susceptibility/hazard index map. The factors considered in this study were found to be carrying a wide range of information. Accordingly, a methodology was evolved to integrate the factors using combined fuzzy gamma and fuzzy OR operation. Fuzzy gamma integration was performed for six different gamma values (range: 0–1). Gamma value of 0.95 was selected for the preparation of final susceptibility map. Landslide susceptibility index map was divided into the following five hazard zones – very low, low, moderate, high, and very high – on the basis of natural break classification. Validation of the model was performed by using cumulative percentage curve technique. Area under curve value of cumulative percentage curve of proposed landslide susceptibility map (gamma = 0.95) was found to be 0.834 and it can be said that 83.4% accuracy was achieved by applying combined fuzzy logic and landslide frequency ratio method.

  8. Integrating rock mechanics issues with repository design through design process principles and methodology

    Energy Technology Data Exchange (ETDEWEB)

    Bieniawski, Z.T. [Pennsylvania State Univ., University Park, PA (United States)

    1996-04-01

    A good designer needs not only knowledge for designing (technical know-how that is used to generate alternative design solutions) but also must have knowledge about designing (appropriate principles and systematic methodology to follow). Concepts such as {open_quotes}design for manufacture{close_quotes} or {open_quotes}concurrent engineering{close_quotes} are widely used in the industry. In the field of rock engineering, only limited attention has been paid to the design process because design of structures in rock masses presents unique challenges to the designers as a result of the uncertainties inherent in characterization of geologic media. However, a stage has now been reached where we are be able to sufficiently characterize rock masses for engineering purposes and identify the rock mechanics issues involved but are still lacking engineering design principles and methodology to maximize our design performance. This paper discusses the principles and methodology of the engineering design process directed to integrating site characterization activities with design, construction and performance of an underground repository. Using the latest information from the Yucca Mountain Project on geology, rock mechanics and starter tunnel design, the current lack of integration is pointed out and it is shown how rock mechanics issues can be effectively interwoven with repository design through a systematic design process methodology leading to improved repository performance. In essence, the design process is seen as the use of design principles within an integrating design methodology, leading to innovative problem solving. In particular, a new concept of {open_quotes}Design for Constructibility and Performance{close_quotes} is introduced. This is discussed with respect to ten rock mechanics issues identified for repository design and performance.

  9. Application of fuzzy sets and cognitive maps to incorporate social science scenarios in integrated assessment models

    NARCIS (Netherlands)

    Kok, de Jean-Luc; Titus, Milan; Wind, Herman G.

    2000-01-01

    Decision-support systems in the field of integrated water management could benefit considerably from social science knowledge, as many environmental changes are human-induced. Unfortunately the adequate incorporation of qualitative social science concepts in a quantitative modeling framework is not

  10. Supply Chain Partners and Configuration Selection : An Intuitionistic Fuzzy Chouquet Integral Operator Based Approach

    NARCIS (Netherlands)

    Ashayeri, J.; Tuzkaya, G.; Tuzkaya, U.

    2010-01-01

    The concept of a supply chain exists for over twenty years but partners and configuration selection process still is rather unstructured. In order to increase value in any supply chain, a more comprehensive and integrative approach is required to select the right partners and establish the right con

  11. Teaching writing of scientific abstracts in English: CLIL methodology in an integrated English and Medicine course

    Directory of Open Access Journals (Sweden)

    Philippa Mungra

    2010-10-01

    Full Text Available In the I Faculty at the University of Rome “La Sapienza” Medical School, one of the several methodology courses aims at developing approaches by physicians to patient queries. One such course comprises several disciplines: Pathology, Immunology, Medical Statistics, Internal Medicine and English, with the specific aim of furnishing students, all Italian speakers, with skills for searching and evaluating the medical literature for answers to patient queries regarding risks and effectiveness of therapy. This paper describes the integration of English into a Methodology Course and delineates how the language component uses a Content and Language Integrated Learning (CLIL approach to train students to write the highly specific genre of journal abstracts for medical experimental research articles. A corpus of student writing is presented and discussed with the aim of furnishing one didactic model for language teaching within the Italian Medical Curriculum.

  12. An integrated risk assessment model of township-scaled land subsidence based on an evidential reasoning algorithm and fuzzy set theory.

    Science.gov (United States)

    Chen, Yu; Shu, Longcang; Burbey, Thomas J

    2014-04-01

    Land subsidence risk assessment (LSRA) is a multi-attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor-level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster-Shafer (D-S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi-Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information--quantitative or qualitative, complete or incomplete, and precise or imprecise--to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.

  13. Study of the integration of public and school libraries: a methodological strategy as a suggestion.

    Directory of Open Access Journals (Sweden)

    Belkis Marisol Rodríguez González

    2010-04-01

    Full Text Available Starting from a theoretical foundation from the philosophical, social and pedagogic perspectives it is offered the theoretical budgets that sustain the integration between the Systems of Public Libraries and School Libraries. The recognition of inadequacies -by means of a previous diagnosis - in the relationships of these two systems it directed the study of this problem and it took to the proposal of a methodological strategy that facilitates the integration among the Systems of Public and School Libraries. Their application demonstrated to be effective and pertinent starting from the transformations that were achieved in those subjects of experimentation.

  14. QFD: a methodological tool for integration of ergonomics at the design stage.

    Science.gov (United States)

    Marsot, Jacques

    2005-03-01

    As a marked increase in the number of musculoskeletal disorders was noted in many industrialized countries and more specifically in companies that require the use of hand tools, the French National Research and Safety Institute launched in 1999 a research program on the topic of integrating ergonomics into hand tool design. After a brief review of the problems of integrating ergonomics at the design stage, the paper shows how the "Quality Function Deployment" method has been applied to the design of a boning knife and it highlights the difficulties encountered. Then, it demonstrates how this method can be a methodological tool geared to greater ergonomics consideration in product design.

  15. A knowledge management methodology for the integrated assessment of WWTP configurations during conceptual design.

    Science.gov (United States)

    Garrido-Baserba, M; Reif, R; Rodriguez-Roda, I; Poch, M

    2012-01-01

    The current complexity involved in wastewater management projects is arising as the XXI century sets new challenges leading towards a more integrated plant design. In this context, the growing number of innovative technologies, stricter legislation and the development of new methodological approaches make it difficult to design appropriate flow schemes for new wastewater projects. Thus, new tools are needed for the wastewater treatment plant (WWTP) conceptual design using integrated assessment methods in order to include different types of objectives at the same time i.e. environmental, economical, technical, and legal. Previous experiences used the decision support system (DSS) methodology to handle the specific issues related to wastewater management, for example, the design of treatment facilities for small communities. However, tools developed for addressing the whole treatment process independently of the plant size, capable of integrating knowledge from many different areas, including both conventional and innovative technologies are not available. Therefore, the aim of this paper is to present and describe an innovative knowledge-based methodology that handles the conceptual design of WWTP process flow-diagrams (PFDs), satisfying a vast number of different criteria. This global approach is based on a hierarchy of decisions that uses the information contained in knowledge bases (KBs) with the aim of automating the generation of suitable WWTP configurations for a specific scenario. Expert interviews, legislation, specialized literature and engineering experience have been integrated within the different KBs, which indeed constitute one of the main highlights of this work. Therefore, the methodology is presented as a valuable tool which provides customized PFD for each specific case, taking into account process unit interactions and the user specified requirements and objectives.

  16. On the Fuzzy Convergence

    Directory of Open Access Journals (Sweden)

    Abdul Hameed Q. A. Al-Tai

    2011-01-01

    Full Text Available The aim of this paper is to introduce and study the fuzzy neighborhood, the limit fuzzy number, the convergent fuzzy sequence, the bounded fuzzy sequence, and the Cauchy fuzzy sequence on the base which is adopted by Abdul Hameed (every real number r is replaced by a fuzzy number r¯ (either triangular fuzzy number or singleton fuzzy set (fuzzy point. And then, we will consider that some results respect effect of the upper sequence on the convergent fuzzy sequence, the bounded fuzzy sequence, and the Cauchy fuzzy sequence.

  17. AN INTEGRATED METHODOLOGY FOR LAYOUT DESIGN AND WORK ORGANISATION IN A FURNITURE MANUFACTURING PLANT

    Directory of Open Access Journals (Sweden)

    A. Sutcu

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: This study aims to provide an integrated methodology for re-designing the layout and departmental organisation in a job shop environment. While several studies have discussed the specific re-design or re-organisation of small- and medium-sized enterprises (SMEs through simulation or mathematical models performing improvements, an integrated approach is rare. An integrated simulation-based methodology has been developed for simultaneously re-designing the layout and the departmental organisation of an SME manufacturing facility. A wooden chair manufacturing facility has been used as a case study. It is found that the developed methodology might be useful for other SME manufacturing firms, especially in the furniture industry.

    AFRIKAANSE OPSOMMING: Hierdie studie hou ‘n geïntegreerde metodologie vir die herontwerp van uitleg en departementele rangskikking in ‘n stukwerkwinkel voor. Terwyl verskeie studies die spesifieke herontwerp en herrangskikking van klein- en mediumgrootte ondernemings deur simulasie en wiskundige modelle probeer verbeter, is ‘n geïntegreerde benadering raar. ‘n Geïntegreerde simulasie-gebaseerde metodologie is ontwikkel en ‘n vervaardigingsaanleg wat houtstoele produseer word as gevallestudie voorgehou. Die toepassing van die model word as nuttig beskou vir ander klein- tot mediumgrootte ondernemings in die meubelbedryf.

  18. Fuzzy logic

    Science.gov (United States)

    Zadeh, Lofti A.

    1988-01-01

    The author presents a condensed exposition of some basic ideas underlying fuzzy logic and describes some representative applications. The discussion covers basic principles; meaning representation and inference; basic rules of inference; and the linguistic variable and its application to fuzzy control.

  19. Fuzzy promises

    DEFF Research Database (Denmark)

    Anker, Thomas Boysen; Kappel, Klemens; Eadie, Douglas

    2012-01-01

    This article clarifies the commonplace assumption that brands make promises by developing definitions of brand promise delivery. Distinguishing between clear and fuzzy brand promises, we develop definitions of what it is for a brand to deliver on fuzzy functional, symbolic, and experiential...

  20. Rehabilitation Evaluation Methodology of upper Limb Rehabilitation Robot based on AHP-fuzzy Comprehensive Evaluation%基于AHP-模糊综合评判的上肢康复机器人康复评价方法

    Institute of Scientific and Technical Information of China (English)

    王建辉; 张程; 纪雯; 顾德英

    2012-01-01

    Along with the research of 5-DOF wearable upper limb rehabilitation robots, a rehabilitation evaluation methodology was provided based on AHP-fuzzy comprehensive, the AHP hierarchical multiple index rehabilitation evaluation model in accordance was established with the rehabilitation medicine knowledge, and evaluation index with proper AHP-fuzzy synthetic relationshipcalculate operator is composed. Tested by a serious of experiments, this evaluation methodology has scientifically feasibility and provides a brand new concept for realizing the rehabilitation evaluation function for 5-DOF upper limb robot.%以5-DOF穿戴式上肢康复机器人为平台,提出了一种基于AHP-模糊综合评判的康复评价方法,依据康复医学知识建立了AHP递阶康复评价模型,选取适当的AHP-模糊关系合成算子逐阶求取康复评价指标.通过实例验证了该评价方法具有一定的科学性及充分的可行性,为实现5-DOF上肢康复机器人的康复评价功能提出了一种新思路.

  1. Aplicación de una metodología difusa a la negociación de la reforma laboral || Methodology Based on Fuzzy Logic Techniques for Searching a Solution Reached by Consensus about the Labour Reform

    Directory of Open Access Journals (Sweden)

    Fernández Fernández, Melchor

    2013-01-01

    Full Text Available En el presente artículo se desarrolla una metodología basada en técnicas deFuzzy Logic (lógica borrosa para la determinación de una solución de consenso aplicada a la negociación de la reforma laboral a partir de las opiniones de Sindicatos, Patronal y Gobierno. El modelo creado se inserta en el ámbito de la metodología cualitativa o estructural aplicando técnicas basadas en la incertidumbre. Ello resulta especialmente adecuado en un momento como el actual caracterizado por unos cambios sociales y económicos extremadamente rápidos y profundos que nos hacen prácticamente imposible el saber con exactitud todo lo que nos depara el futuro. || In this paper it is carried out a methodology based on Fuzzy Logic techniques for searching a solution which has been reached by consensus. This solution is related to labour reform and considers Trade Unions, Employers' Associations, and Government opinions. The proposed model belongs to the field of a qualitative or structural methodology based on uncertainty. This viewpoint is particularly appropriate at present when economic and social changes are so fast and deep that it is impossible to know what the future will bring.

  2. 基于Fuzzy-AHP的机械设备多特征参数健康状态综合评价研究%Multi Feature Parameters Health State Evaluation of Mechanical Equipment Based on Fuzzy-AHP Methodology

    Institute of Scientific and Technical Information of China (English)

    宾光富; 周元; Balbir S.Dhillon

    2009-01-01

    This paper is aimed at the system evaluation problem of mechanical equipment caused by factors, such as the multiplicity of structure, close relevancy, and complex operating environment, from the viewpoint of functional hierarchy, a quantitative evaluation method of mechanical equipment multi feature parameters health state was developed on the basis of theory of fuzzy set synthesis evaluation and AHP. Considering the concept of human health and the equipment running parameters (including reliability, maintenance, technical performance, etc. ), the mechanical equipment health state and its evaluation hierarchy model were analyzed. The health value was employed to quantitatively describe the running state degree. The weight vectors of all evaluation hierarchies were discussed by using the AHP method with the experiences of experts. Applied the fuzzy set evaluation theory, a type of subjection function of positive and negative indicators was presented, and the evaluation matrix was discussed as well as fuzzy transformation algorithm operators. The valuation model for mechanical equipment's multi feature parameters health state based on fuzzy - AHP was built. The health value of subsystems can be obtained by means of "from bottom to top", then the database of health values of whole mechanical equipment will be established. Based on the database, the health state of mechanical equipment is clear, which provides theoretical guide for seeking further optimization maintenance strategy. Finally, a health state evaluation of rotary kiln used in cement industry was taken as an example to verify the effectiveness and feasibility of the proposed method.%针对机械设备结构形式多样、关联性强、运行环境复杂等因素导致系统评价困难的问题,从机械设备功能层次结构出发,运用模糊综合评价(fuzzy set)和层次分析法(AHP),提出了一种量化评价机械设备多特征参数健康状态的新方法.结合人的健康概念,综合考

  3. Safety studies on Korean fusion DEMO plant using Integrated Safety Assessment Methodology: Part 2

    Energy Technology Data Exchange (ETDEWEB)

    Oh, Kyemin; Kang, Myoung-suk [Kyung Hee University, Yongin-si, Gyeonggi-do 446-701 (Korea, Republic of); Heo, Gyunyoung, E-mail: gheo@khu.ac.kr [Kyung Hee University, Yongin-si, Gyeonggi-do 446-701 (Korea, Republic of); Kim, Hyoung-chan [National Fusion Research Institute, Daejeon-si 305-333 (Korea, Republic of)

    2015-10-15

    Highlights: • The purpose of this paper is to suggest methodology that can investigate safety issues and provides a case study for Korean fusion DEMO plant. • The concepts of Integrated Safety Assessment Methodology (ISAM) that can be applied in addressing regulatory requirements and recognizing safety issues for K-DEMO were emphasized. • Phenomena Identification Ranking Table (PIRT) and Objective Provision Tree (OPT) were performed and updated. • This work is expected to contribute on the conceptual design of safety features for K-DEMO to design engineers and the guidance for regulatory requirements to licensers. - Abstract: The purpose of this paper is to investigate safety issues using Integrated Safety Assessment Methodology (ISAM) proposed by Generation IV Forum Risk and Safety Working Group (RSWG) for Korean fusion DEMO plant (K-DEMO). In ongoing nuclear energy research such as Generation IV fission power plant (GEN-IV), new methodology based on Technology-Neutral Framework (TNF) has been applied for safety assessment. In this methodology, design and regulatory requirements for safety of nuclear power plants are considered simultaneously. The design based on regulatory requirements can save resource, time, and manpower while maintaining high level safety. ISAM is one of the options to apply TNF in K-DEMO. We have performed safety studies for K-DEMO using Phenomena Identification and Ranking Table (PIRT) and Objective Provision Tree (OPT) which are constitutive part of ISAM. Considering the design phase of K-DEMO, the current study focused on PIRT and OPT for K-DEMO. Results have been reviewed and updated by Korean fusion advisory group after considering the views of specialists from domestic universities, industries, and national institutes in South Korea.

  4. Possibilistic Exponential Fuzzy Clustering

    Institute of Scientific and Technical Information of China (English)

    Kiatichai Treerattanapitak; Chuleerat Jaruskulchai

    2013-01-01

    Generally,abnormal points (noise and outliers) cause cluster analysis to produce low accuracy especially in fuzzy clustering.These data not only stay in clusters but also deviate the centroids from their true positions.Traditional fuzzy clustering like Fuzzy C-Means (FCM) always assigns data to all clusters which is not reasonable in some circumstances.By reformulating objective function in exponential equation,the algorithm aggressively selects data into the clusters.However noisy data and outliers cannot be properly handled by clustering process therefore they are forced to be included in a cluster because of a general probabilistic constraint that the sum of the membership degrees across all clusters is one.In order to improve this weakness,possibilistic approach relaxes this condition to improve membership assignment.Nevertheless,possibilistic clustering algorithms generally suffer from coincident clusters because their membership equations ignore the distance to other clusters.Although there are some possibilistic clustering approaches that do not generate coincident clusters,most of them require the right combination of multiple parameters for the algorithms to work.In this paper,we theoretically study Possibilistic Exponential Fuzzy Clustering (PXFCM) that integrates possibilistic approach with exponential fuzzy clustering.PXFCM has only one parameter and not only partitions the data but also filters noisy data or detects them as outliers.The comprehensive experiments show that PXFCM produces high accuracy in both clustering results and outlier detection without generating coincident problems.

  5. Fuzzy Stochastic Optimization Theory, Models and Applications

    CERN Document Server

    Wang, Shuming

    2012-01-01

    Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy stochastic optimization that deploys the fuzzy random variable as a core mathematical tool to model the integrated fuzzy random uncertainty. It proceeds in an orderly fashion from the requisite theoretical aspects of the fuzzy random variable to fuzzy stochastic optimization models and their real-life case studies.   The volume reflects the fact that randomness and fuzziness (or vagueness) are two major sources of uncertainty in the real world, with significant implications in a number of settings. In industrial engineering, management and economics, the chances are high that decision makers will be confronted with information that is simultaneously probabilistically uncertain and fuzzily imprecise, and optimization in the form of a decision must be made in an environment that is doubly uncertain, characterized by a co-occurrence of randomness and fuzziness. This book begins...

  6. Designing High-Performance Fuzzy Controllers Combining IP Cores and Soft Processors

    Directory of Open Access Journals (Sweden)

    Oscar Montiel-Ross

    2012-01-01

    Full Text Available This paper presents a methodology to integrate a fuzzy coprocessor described in VHDL (VHSIC Hardware Description Language to a soft processor embedded into an FPGA, which increases the throughput of the whole system, since the controller uses parallelism at the circuitry level for high-speed-demanding applications, the rest of the application can be written in C/C++. We used the ARM 32-bit soft processor, which allows sequential and parallel programming. The FLC coprocessor incorporates a tuning method that allows to manipulate the system response. We show experimental results using a fuzzy PD+I controller as the embedded coprocessor.

  7. Novel Networked Remote Laboratory Architecture for Open Connectivity Based on PLC-OPC-LabVIEW-EJS Integration. Application in Remote Fuzzy Control and Sensors Data Acquisition

    Directory of Open Access Journals (Sweden)

    Isaías González

    2016-10-01

    Full Text Available In this paper the design and implementation of a network for integrating Programmable Logic Controllers (PLC, the Object-Linking and Embedding for Process Control protocol (OPC and the open-source Easy Java Simulations (EJS package is presented. A LabVIEW interface and the Java-Internet-LabVIEW (JIL server complete the scheme for data exchange. This configuration allows the user to remotely interact with the PLC. Such integration can be considered a novelty in scientific literature for remote control and sensor data acquisition of industrial plants. An experimental application devoted to remote laboratories is developed to demonstrate the feasibility and benefits of the proposed approach. The experiment to be conducted is the parameterization and supervision of a fuzzy controller of a DC servomotor. The graphical user interface has been developed with EJS and the fuzzy control is carried out by our own PLC. In fact, the distinctive features of the proposed novel network application are the integration of the OPC protocol to share information with the PLC and the application under control. The user can perform the tuning of the controller parameters online and observe in real time the effect on the servomotor behavior. The target group is engineering remote users, specifically in control- and automation-related tasks. The proposed architecture system is described and experimental results are presented.

  8. Novel Networked Remote Laboratory Architecture for Open Connectivity Based on PLC-OPC-LabVIEW-EJS Integration. Application in Remote Fuzzy Control and Sensors Data Acquisition.

    Science.gov (United States)

    González, Isaías; Calderón, Antonio José; Mejías, Andrés; Andújar, José Manuel

    2016-10-31

    In this paper the design and implementation of a network for integrating Programmable Logic Controllers (PLC), the Object-Linking and Embedding for Process Control protocol (OPC) and the open-source Easy Java Simulations (EJS) package is presented. A LabVIEW interface and the Java-Internet-LabVIEW (JIL) server complete the scheme for data exchange. This configuration allows the user to remotely interact with the PLC. Such integration can be considered a novelty in scientific literature for remote control and sensor data acquisition of industrial plants. An experimental application devoted to remote laboratories is developed to demonstrate the feasibility and benefits of the proposed approach. The experiment to be conducted is the parameterization and supervision of a fuzzy controller of a DC servomotor. The graphical user interface has been developed with EJS and the fuzzy control is carried out by our own PLC. In fact, the distinctive features of the proposed novel network application are the integration of the OPC protocol to share information with the PLC and the application under control. The user can perform the tuning of the controller parameters online and observe in real time the effect on the servomotor behavior. The target group is engineering remote users, specifically in control- and automation-related tasks. The proposed architecture system is described and experimental results are presented.

  9. Methodology, Algorithms, and Emerging Tool for Automated Design of Intelligent Integrated Multi-Sensor Systems

    Directory of Open Access Journals (Sweden)

    Andreas König

    2009-11-01

    Full Text Available The emergence of novel sensing elements, computing nodes, wireless communication and integration technology provides unprecedented possibilities for the design and application of intelligent systems. Each new application system must be designed from scratch, employing sophisticated methods ranging from conventional signal processing to computational intelligence. Currently, a significant part of this overall algorithmic chain of the computational system model still has to be assembled manually by experienced designers in a time and labor consuming process. In this research work, this challenge is picked up and a methodology and algorithms for automated design of intelligent integrated and resource-aware multi-sensor systems employing multi-objective evolutionary computation are introduced. The proposed methodology tackles the challenge of rapid-prototyping of such systems under realization constraints and, additionally, includes features of system instance specific self-correction for sustained operation of a large volume and in a dynamically changing environment. The extension of these concepts to the reconfigurable hardware platform renders so called self-x sensor systems, which stands, e.g., for self-monitoring, -calibrating, -trimming, and -repairing/-healing systems. Selected experimental results prove the applicability and effectiveness of our proposed methodology and emerging tool. By our approach, competitive results were achieved with regard to classification accuracy, flexibility, and design speed under additional design constraints.

  10. MODEL - INTEGRAL METHODOLOGY FOR SUCCESSFUL DESIGNING AND IMPLEMENTING OF TQM SYSTEM IN MACEDONIAN COMPANIES

    Directory of Open Access Journals (Sweden)

    Elizabeta Mitreva

    2011-12-01

    Full Text Available The subject of this paper is linked with the valorization of the meaning and the perspectives of Total Quality Management (TQM system design and implementation within the domestic companies and creating a model-methodology for improved performance, efficiency and effectiveness. The research is designed as an attempt to depict the existing condition in the Macedonian companies regarding quality system design and implementation, analysed through 4 polls in the "house of quality" whose top is the ultimate management, and as its bases measurement, evaluation, analyzing and comparison of the quality are used. This "house" is being held by 4 subsystems e.g. internal standardization, methods and techniques for flawless work performance, education and motivation and analyses of the quality costs. The data received from the research and the proposal of the integral methodology for designing and implementing of TQM system are designed in turn to help and present useful directions to all Macedonian companies tending to become "world class" organizations. The basis in the creation of this model is the redesign of the business processes which afterword begins as a new phase of the business performance - continued improvement, rolling of Deming's Quality Circle (Plan-Do-Check-Act. The model-methodology proposed in this paper is integral and universal which means that it is applicable to all companies regardless of the business area.

  11. GATE TYPE SELECTION BASED ON FUZZY MAPPING

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Gate type selection is very important for mould design. Improper gate type may lead to poor product quality and low production efficiency. Although numerical simulation approach could be used to optimize gate location, the determination of gate type is still up to designers' experience. A novel method for selecting gate type based on fuzzy logic is proposed. The proposed methodology follows three steps:Design requirements for gate is extracted and generalized; Possible gate types (design schemes) are presented; The fuzzy mapping relationship between gate design requirements and gate design scheme is established based on fuzzy composition and fuzzy relation transition matrices that are assigned by domain experts.

  12. A quantitative flood risk analysis methodology for urban areas with integration of social research data

    Science.gov (United States)

    Escuder-Bueno, I.; Castillo-Rodríguez, J. T.; Zechner, S.; Jöbstl, C.; Perales-Momparler, S.; Petaccia, G.

    2012-09-01

    Risk analysis has become a top priority for authorities and stakeholders in many European countries, with the aim of reducing flooding risk, considering the population's needs and improving risk awareness. Within this context, two methodological pieces have been developed in the period 2009-2011 within the SUFRI project (Sustainable Strategies of Urban Flood Risk Management with non-structural measures to cope with the residual risk, 2nd ERA-Net CRUE Funding Initiative). First, the "SUFRI Methodology for pluvial and river flooding risk assessment in urban areas to inform decision-making" provides a comprehensive and quantitative tool for flood risk analysis. Second, the "Methodology for investigation of risk awareness of the population concerned" presents the basis to estimate current risk from a social perspective and identify tendencies in the way floods are understood by citizens. Outcomes of both methods are integrated in this paper with the aim of informing decision making on non-structural protection measures. The results of two case studies are shown to illustrate practical applications of this developed approach. The main advantage of applying the methodology herein presented consists in providing a quantitative estimation of flooding risk before and after investing in non-structural risk mitigation measures. It can be of great interest for decision makers as it provides rational and solid information.

  13. A quantitative flood risk analysis methodology for urban areas with integration of social research data

    Directory of Open Access Journals (Sweden)

    I. Escuder-Bueno

    2012-09-01

    Full Text Available Risk analysis has become a top priority for authorities and stakeholders in many European countries, with the aim of reducing flooding risk, considering the population's needs and improving risk awareness. Within this context, two methodological pieces have been developed in the period 2009–2011 within the SUFRI project (Sustainable Strategies of Urban Flood Risk Management with non-structural measures to cope with the residual risk, 2nd ERA-Net CRUE Funding Initiative. First, the "SUFRI Methodology for pluvial and river flooding risk assessment in urban areas to inform decision-making" provides a comprehensive and quantitative tool for flood risk analysis. Second, the "Methodology for investigation of risk awareness of the population concerned" presents the basis to estimate current risk from a social perspective and identify tendencies in the way floods are understood by citizens. Outcomes of both methods are integrated in this paper with the aim of informing decision making on non-structural protection measures. The results of two case studies are shown to illustrate practical applications of this developed approach. The main advantage of applying the methodology herein presented consists in providing a quantitative estimation of flooding risk before and after investing in non-structural risk mitigation measures. It can be of great interest for decision makers as it provides rational and solid information.

  14. An Implentation Methodology for Integrated Resource Management in Urban Water Planning

    Science.gov (United States)

    Ebrahimi, G.; Thurm, B.; Klein, D. R.; Öberg, G.

    2014-12-01

    Urban water management requires innovative and integrative approaches to improve sustainability in cities keeping in touch with science progress. Integrated Resource Management (IRM) is one of these strategies and has been developed to integrate various natural and human resources. However, it is becoming increasingly clear that it is challenging to move from vision to implementation. The aim of this paper is to identify strengths and weaknesses of IRM and analyze if the approach might facilitate implementation of sustainability objectives in the water management field. A literature review was performed on peer-reviewed papers that were identified through Google Scholar search for the term 'Integrated Resource Management'. It was found that IRM has been used in a number of contexts such as urban planning, forestry, and management of waste and livestock. Significant implementation challenges are highlighted in the literature. Based on the lessons learned in many different fields, from forestry to communication sciences, important characteristics of IRM approach were found such as the need for adequate governance and strong leaderships, stakeholder's involvement, the learning process and the critical need of appropriate evaluation criteria. We conclude developing an implementation methodology and presenting several recommendations to implement IRM in urban management. While Integrated Water Resource Management (IWRM) is recognized as a fruitful approach to achieve sustainable water management, this study suggests that a shift toward Integrated Resource Management (IRM) can be beneficial as it is designed to facilitate consideration of the interrelationships between various natural and human resources.

  15. An Aegean island earthquake protection strategy: an integrated analysis and policy methodology.

    Science.gov (United States)

    Delladetsima, Pavlos Marinos; Dandoulaki, Miranda; Soulakellis, Nikos

    2006-12-01

    Viewing an insular setting as a distinct risk environment, an effort is made here to develop a methodology for identifying core issues related to earthquake risk and disaster protection policy, adjusted to the 'specificities' of such a context. The methodology's point of departure is the inherent condition of the 'island operating as a closed system', requiring an attempt to assess and optimise local capacity (social, political, economic, institutional and technical) to deal with an earthquake emergency. The island is then treated as an 'open system', implying that in the event of a disaster, it should be able to maximise its ability to receive and distribute external aid and to manage effectively population evacuation and inflows/outflows of aid resources. Hence, an appropriate strategic policy approach could be developed by integrating the 'open' and 'closed' system components of an island setting. Three islands from the Aegean Archipelagos in Greece--Chios, Kos and Nissyros--serve as case study areas.

  16. Applied methodology for replacement pipe arcs in integral pipelines TE 'Oslomej'

    Directory of Open Access Journals (Sweden)

    Temelkoska Bratica K.

    2016-01-01

    Full Text Available The integral pipelines in thermal power plants present a linear spatial bearing construction with high operating parameters, complex static and dynamic load. The integral pipelines along its entire length are hanging on construction spring hangers from the boiler building, where the boiler is placed, next to the machine hall where the turbine is placed. Therefore, it is important to monitor the condition and to remove any possible defects from the applied methods. This paper describes the methodology of replacement of the pipe arch on one of the integral pipelines-the line for hot superheated steam. In addition, in this paper are given the method methods that led to this methodology for testing and evaluation of the condition of the pipe arch material that had been in exploitation and the new pipe arch that will be embedded. Furthermore the approach, the technology of replacement, anchoring of the steam line, technology of welding etc., as well as the preparation of the final design of constructed condition are also covered in this paper.

  17. Design High Efficiency-Minimum Rule Base PID Like Fuzzy Computed Torque Controller

    Directory of Open Access Journals (Sweden)

    Alireza Khalilian

    2014-06-01

    Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Computed Torque Controller is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Computed Torque Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a PI controller to have the minimum rule base. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each link, this controller is work based on manipulator dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear robot manipulator’s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  18. Design High-Efficiency Intelligent PID like Fuzzy Backstepping Controller for Three Dimension Motor

    Directory of Open Access Journals (Sweden)

    Mahsa Piltan

    2014-08-01

    Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy backstepping Controller for three dimensions spherical motor is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PI-like controller and a PD-like fuzzy controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each dimension, this controller is work based on spherical motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear three dimension spherical motor’s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  19. Fuzzy associative memories for instrument fault detection

    Energy Technology Data Exchange (ETDEWEB)

    Heger, A.S. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Chemical and Nuclear Engineering; Holbert, K.E.; Ishaque, A.M. [Arizona State Univ., Tempe, AZ (United States)

    1996-06-01

    A fuzzy logic instrument fault detection scheme is developed for systems having two or three redundant sensors. In the fuzzy logic approach the deviation between each signal pairing is computed and classified into three fuzzy sets. A rule base is created allowing the human perception of the situation to be represented mathematically. Fuzzy associative memories are then applied. Finally, a defuzzification scheme is used to find the centroid location, and hence the signal status. Real-time analyses are carried out to evaluate the instantaneous signal status as well as the long-term results for the sensor set. Instantaneous signal validation results are used to compute a best estimate for the measured state variable. The long-term sensor validation method uses a frequency fuzzy variable to determine the signal condition over a specific period. To corroborate the methodology synthetic data representing various anomalies are analyzed with both the fuzzy logic technique and the parity space approach. (Author).

  20. Fuzzy Evidence in Identification, Forecasting and Diagnosis

    CERN Document Server

    Rotshtein, Alexander P

    2012-01-01

    The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fu...

  1. Methodology of Integration for Competitive Technical Intelligence with Blue Ocean Strategy: Application to an exotic fruit

    Directory of Open Access Journals (Sweden)

    Marisela Rodríguez Salvador

    2011-12-01

    Full Text Available This article presents a new methodology that integrates Competitive Technical Intelligence with Blue Ocean Strategy. We explore new business niches taking advantage of the synergy that both areas offer, developing a model based on cyclic interactions through a process developed in two stages: Understanding opportunity that arise from idea formulation to decision making and strategic development. The validity of our approach (first stage was observed in the evaluation of an exotic fruit, Anacardium Occidentale, in the South of the State of Veracruz, Mexico with the support of the university ITESM, Campus Monterrey. We identified critical factors for success, opportunities and threats. Results confirm the attractiveness of this crop.

  2. Integrated management of operations in Santos Basin: methodology applied to a new philosophy of operations

    Energy Technology Data Exchange (ETDEWEB)

    Pereira, Leandro Leonardo; Lima, Claudio Benevenuto de Campos [Petroleo Brasileiro S.A. (PETROBRAS), Rio de Janeiro, RJ (Brazil); Derenzi Neto, Dario [Accenture, Rio de Janeiro, RJ (Brazil); Pinto, Vladimir Steffen [Soda IT, Rio de Janeiro, RJ (Brazil); Lima, Gilson Brito Alves [Universidade Federal Fluminense (UFF), Niteroi, RJ (Brazil)

    2012-07-01

    The objective of this paper is to present the methodology used to develop the Integrated Management of Operations (GIOp) project in Santos Basin Operational Unit (UO-BS) in the South-Southeast Exploration and Production area of PETROBRAS. The following text describes how the activities were carried out to gather improvements opportunities and to design To-Be processes, considering the challenging environment of the Santos Basin in the coming years. At the end of more than 12 months of work, more than 50 processes and sub-processes were redesigned, involving a multidisciplinary team in the areas of operations, maintenance, safety, health and environment, flow assurance, wells, reservoirs and planning. (author)

  3. The Atomic Intrinsic Integration Approach: A Structured Methodology for the Design of Games for the Conceptual Understanding of Physics

    Science.gov (United States)

    Echeverria, Alejandro; Barrios, Enrique; Nussbaum, Miguel; Amestica, Matias; Leclerc, Sandra

    2012-01-01

    Computer simulations combined with games have been successfully used to teach conceptual physics. However, there is no clear methodology for guiding the design of these types of games. To remedy this, we propose a structured methodology for the design of conceptual physics games that explicitly integrates the principles of the intrinsic…

  4. Systemic Approach for Health Risk Assessment of Ambient Air Concentrations of Benzene in Petrochemical Environments: Integration of Fuzzy Logic, Artificial Neural Network, and IRIS Toxicity Method.

    Science.gov (United States)

    Novin, Vahid; Givehchi, Saeed; Hoveidi, Hassan

    2016-09-01

    Reliable methods are crucial to cope with uncertainties in the risk analysis process. The aim of this study is to develop an integrated approach to assessing risks of benzene in the petrochemical plant that produces benzene. We offer an integrated system to contribute imprecise variables into the health risk calculation. The project was conducted in Asaluyeh, southern Iran during the years from 2013 to 2014. Integrated method includes fuzzy logic and artificial neural networks. Each technique had specific computational properties. Fuzzy logic was used for estimation of absorption rate. Artificial neural networks can decrease the noise of the data so applied for prediction of benzene concentration. First, the actual exposure was calculated then it combined with Integrated Risk Information System (IRIS) toxicity factors to assess real health risks. High correlation between the measured and predicted benzene concentration was achieved (R(2)= 0.941). As for variable distribution, the best estimation of risk in a population implied 33% of workers exposed less than 1×10(-5) and 67% inserted between 1.0×10(-5) to 9.8×10(-5) risk levels. The average estimated risk of exposure to benzene for entire work zones is equal to 2.4×10(-5), ranging from 1.5×10(-6) to 6.9×10(-5). The integrated model is highly flexible as well as the rules possibly will be changed according to the necessities of the user in a different circumstance. The measured exposures can be duplicated well through proposed model and realistic risk assessment data will be produced.

  5. Expanding Urban Metabolism: Coupling Methodologies and Integrating Social Factors, a Pilot for Los Angeles County

    Science.gov (United States)

    Pincetl, S.

    2011-12-01

    Urban metabolism is a powerful method for describing resource flows into cities and the waste streams produced as a result of resource use. To date these flows have rarely been geospatially correlated to reveal who uses what type of energy where and the concomitant waste streams. Thus there is little ability to understand energy use in urban areas. Additionally, the social and ecological footprint of the flows have not been drawn and explained. We are developing an expanded and integrated urban metabolism analysis for Los Angeles County, attempting to integrate socio-demographic and geospatial grounding of resource flows and sinks, as well as life cycle, cradle to grave information. This presentation will focus on the reasons for this approach and methodological innovations and challenges.

  6. A Model-Based Methodology for Integrated Design and Operation of Reactive Distillation Processes

    DEFF Research Database (Denmark)

    Mansouri, Seyed Soheil; Sales-Cruz, Mauricio; Huusom, Jakob Kjøbsted

    2015-01-01

    and resolved. A new approach isto tackle process intensification and controllability issues in an integrated manner, in the early stages of process design. This integrated and simultaneous synthesis approach provides optimal operation and moreefficient control of complex intensified systems that suffice...... bubble point algorithm is used to compute the reactive vapor-liquid equilibrium data set.The operation of the RDC at the highest driving force and other candidate points is compared through openloop and closed-loop analysis. By application of this methodology it is shown that designing the process atthe......Process intensification is a new approach that has the potential to improve existing processes as well as new designs of processes to achieve more profitable and sustainable production. However, many issues with respect to their implementation and operation is not clear; for example, the question...

  7. Vedic division methodology for high-speed very large scale integration applications

    Directory of Open Access Journals (Sweden)

    Prabir Saha

    2014-02-01

    Full Text Available Transistor level implementation of division methodology using ancient Vedic mathematics is reported in this Letter. The potentiality of the ‘Dhvajanka (on top of the flag’ formula was adopted from Vedic mathematics to implement such type of divider for practical very large scale integration applications. The division methodology was implemented through half of the divisor bit instead of the actual divisor, subtraction and little multiplication. Propagation delay and dynamic power consumption of divider circuitry were minimised significantly by stage reduction through Vedic division methodology. The functionality of the division algorithm was checked and performance parameters like propagation delay and dynamic power consumption were calculated through spice spectre with 90 nm complementary metal oxide semiconductor technology. The propagation delay of the resulted (32 ÷ 16 bit divider circuitry was only ∼300 ns and consumed ∼32.5 mW power for a layout area of 17.39 mm^2. Combination of Boolean arithmetic along with ancient Vedic mathematics, substantial amount of iterations were reduced resulted as ∼47, ∼38, 34% reduction in delay and ∼34, ∼21, ∼18% reduction in power were investigated compared with the mostly used (e.g. digit-recurrence, Newton–Raphson, Goldschmidt architectures.

  8. Optimization of Multi-Criteria Experiments with Fuzzy Results

    Institute of Scientific and Technical Information of China (English)

    YANG Fan; WU Su; Tilo Pfeifer; Klaus Hense

    2006-01-01

    The classical design of experiments (DoE) method can optimize systems with one technical response and multiple inputs. The objective of this study is to optimize multiple technical responses at the same time by integrating fuzzy logic transformation into a DoE system. The transformation from technical responses to the individual fuzzy responses and the overall fuzzy response are first defined, and the fuzzy response system is established. The method used to optimize the overall fuzzy response is introduced and discussed. The results show that the established fuzzy response system can optimize systems with multiple technical responses and multiple inputs.

  9. Integration Methodology For Oil-Free Shaft Support Systems: Four Steps to Success

    Science.gov (United States)

    Howard, Samuel A.; DellaCorte, Christopher; Bruckner, Robert J.

    2010-01-01

    Commercial applications for Oil-Free turbomachinery are slowly becoming a reality. Micro-turbine generators, highspeed electric motors, and electrically driven centrifugal blowers are a few examples of products available in today's commercial marketplace. Gas foil bearing technology makes most of these applications possible. A significant volume of component level research has led to recent acceptance of gas foil bearings in several specialized applications, including those mentioned above. Component tests identifying such characteristics as load carrying capacity, power loss, thermal behavior, rotordynamic coefficients, etc. all help the engineer design foil bearing machines, but the development process can be just as important. As the technology gains momentum and acceptance in a wider array of machinery, the complexity and variety of applications will grow beyond the current class of machines. Following a robust integration methodology will help improve the probability of successful development of future Oil-Free turbomachinery. This paper describes a previously successful four-step integration methodology used in the development of several Oil-Free turbomachines. Proper application of the methods put forward here enable successful design of Oil-Free turbomachinery. In addition when significant design changes or unique machinery are developed, this four-step process must be considered.

  10. An integrated measurement and modeling methodology for estuarine water quality management

    Institute of Scientific and Technical Information of China (English)

    Michael Hartnett; Stephen Nash

    2015-01-01

    This paper describes research undertaken by the authors to develop an integrated measurement and modeling methodology for water quality management of estuaries. The approach developed utilizes modeling and measurement results in a synergistic manner. Modeling results were initially used to inform the field campaign of appropriate sampling locations and times, and field data were used to develop accurate models. Remote sensing techniques were used to capture data for both model development and model validation. Field surveys were undertaken to provide model initial conditions through data assimilation and determine nutrient fluxes into the model domain. From field data, salinity re-lationships were developed with various water quality parameters, and relationships between chlorophyll a concentrations, transparency, and light attenuation were also developed. These relationships proved to be invaluable in model development, particularly in modeling the growth and decay of chlorophyll a. Cork Harbour, an estuary that regularly experiences summer algal blooms due to anthropogenic sources of nutrients, was used as a case study to develop the methodology. The integration of remote sensing, conventional fieldwork, and modeling is one of the novel aspects of this research and the approach developed has widespread applicability.

  11. Encoding spatial images: A fuzzy set theory approach

    Science.gov (United States)

    Sztandera, Leszek M.

    1992-01-01

    As the use of fuzzy set theory continues to grow, there is an increased need for methodologies and formalisms to manipulate obtained fuzzy subsets. Concepts involving relative position of fuzzy patterns are acknowledged as being of high importance in many areas. In this paper, we present an approach based on the concept of dominance in fuzzy set theory for modelling relative positions among fuzzy subsets of a plane. In particular, we define the following spatial relations: to the left (right), in front of, behind, above, below, near, far from, and touching. This concept has been implemented to define spatial relationships among fuzzy subsets of the image plane. Spatial relationships based on fuzzy set theory, coupled with a fuzzy segmentation, should therefore yield realistic results in scene understanding.

  12. An Integrated Model of Material Supplier Selection and Order Allocation Using Fuzzy Extended AHP and Multiobjective Programming

    Directory of Open Access Journals (Sweden)

    Zhi Li

    2013-01-01

    Full Text Available This paper presents a supplier selection and order allocation (SSOA model to solve the problem of a multiperiod supplier selection and then order allocation in the environment of short product life cycle and frequent material purchasing, for example, fast fashion environment in apparel industry. At the first stage, with consideration of multiple decision criteria and the fuzziness of the data involved in deciding the preferences of multiple decision variables in supplier selection, the fuzzy extent analytic hierarchy process (FEAHP is adopted. In the second stage, supplier ranks are inputted into an order allocation model that aims at minimizing the risk of material purchasing and minimizing the total material purchasing costs using a dynamic programming approach, subject to constraints on deterministic customer demand and deterministic supplier capacity. Numerical examples are presented, and computational results are reported.

  13. A fuzzy mixed integer linear programming model for integrating procurement-production-distribution planning in supply chain

    Directory of Open Access Journals (Sweden)

    Mahdi Naderi-Beni

    2012-04-01

    Full Text Available In this paper, we study a supply chain problem where a whole seller/producer distributes goods among different retailers. Such problems are always faces with uncertainty with input data and we have to use various techniques to handle the uncertainty. The proposed model of this paper considers different input parameters such as demand, capacity and cost in trapezoid fuzzy forms and using two ranking methods, we handle the uncertainty. The results of the proposed model of this paper have been compared with the crisp and other existing fuzzy techniques using some randomly generated data. The preliminary results indicate that the proposed models of this paper provides better values for the objective function and do not increase the complexity of the resulted problem.

  14. Design methodology for integrated downstream separation systems in an ethanol biorefinery

    Science.gov (United States)

    Mohammadzadeh Rohani, Navid

    and obtaining energy security. On the other hand, Process Integration (PI) as defined by Natural Resource Canada as the combination of activities which aim at improving process systems, their unit operations and their interactions in order to maximize the efficiency of using water, energy and raw materials can also help biorefineries lower their energy consumptions and improve their economics. Energy integration techniques such as pinch analysis adopted by different industries over the years have ensured using heat sources within a plant to supply the demand internally and decrease the external utility consumption. Therefore, adopting energy integration can be one of the ways biorefinery technology owners can consider in their process development as well as their business model in order to improve their overall economics. The objective of this thesis is to propose a methodology for designing integrated downstream separation in a biorefinery. This methodology is tested in an ethanol biorefinery case study. Several alternative separation techniques are evaluated in their energy consumption and economics in three different scenarios; stand-alone without energy integration, stand-alone with internal energy integration and integrated-with Kraft. The energy consumptions and capital costs of separation techniques are assessed in each scenario and the cost and benefit of integration are determined and finally the best alternative is found through techno-economic metrics. Another advantage of this methodology is the use of a graphical tool which provides insights on decreasing energy consumption by modifying the process condition. The pivot point of this work is the use of a novel energy integration method called Bridge analysis. This systematic method which originally is intended for retrofit situation is used here for integration with Kraft process. Integration potentials are identified through this method and savings are presented for each design. In stand-alone with

  15. An Industrial Perspective of CAM/ROB Fuzzy Integrated Postprocessing Implementation for Redundant Robotic Workcells Applicability for Big Volume Prototyping

    Science.gov (United States)

    Andrés, J.; Gracia, L.; Tornero, J.; García, J. A.; González, F.

    2009-11-01

    The implementation of a postprocessor for the NX™ platform (Siemens Corp.) is described in this paper. It is focused on a milling redundant robotic milling workcell consisting of one KUKA KR 15/2 manipulator (6 rotary joints, KRC2 controller) mounted on a linear axis and synchronized with a rotary table (i.e., two additional joints). For carrying out a milling task, a choice among a set of possible configurations is required, taking into account the ability to avoid singular configurations by using both additional joints. Usually, experience and knowledge of the workman allow an efficient control in these cases, but being it a tedious job. Similarly to this expert knowledge, a stand-alone fuzzy controller has been programmed with Matlab's Fuzzy Logic Toolbox (The MathWorks, Inc.). Two C++ programs complement the translation of the toolpath tracking (expressed in the Cartesian space) from the NX™-CAM module into KRL (KUKA Robot Language). In order to avoid singularities or joint limits, the location of the robot and the workpiece during the execution of the task is fit after an inverse kinematics position analysis and a fuzzy inference (i.e., fuzzy criterion in the Joint Space). Additionally, the applicability of robot arms for the manufacture of big volume prototypes with this technique is proven by means of one case studied. It consists of a big orographic model to simulate floodways, return flows and retention storage of a reservoir in the Mijares river (Puebla de Arenoso, Spain). This article deals with the problem for a constant tool orientation milling process and sets the technological basis for future research at five axis milling operations.

  16. First course in fuzzy logic

    CERN Document Server

    Nguyen, Hung T

    2005-01-01

    THE CONCEPT OF FUZZINESS Examples Mathematical modeling Some operations on fuzzy sets Fuzziness as uncertainty Exercises SOME ALGEBRA OF FUZZY SETS Boolean algebras and lattices Equivalence relations and partitions Composing mappings Isomorphisms and homomorphisms Alpha-cuts Images of alpha-level sets Exercises FUZZY QUANTITIES Fuzzy quantities Fuzzy numbers Fuzzy intervals Exercises LOGICAL ASPECTS OF FUZZY SETS Classical two-valued logic A three-valued logic Fuzzy logic Fuzzy and Lukasiewi

  17. Terminology and concepts of control and Fuzzy Logic

    Science.gov (United States)

    Aldridge, Jack; Lea, Robert; Jani, Yashvant; Weiss, Jonathan

    1990-01-01

    Viewgraphs on terminology and concepts of control and fuzzy logic are presented. Topics covered include: control systems; issues in the design of a control system; state space control for inverted pendulum; proportional-integral-derivative (PID) controller; fuzzy controller; and fuzzy rule processing.

  18. Improvement of self-organization, relations and learning motivation of different age students by integrative teaching methodology

    Directory of Open Access Journals (Sweden)

    Voita D.

    2014-01-01

    Full Text Available An integrative teaching methodology was developed by qualified specialists and implemented in 17 Latvian schools during one study year. Students who participated in the learning of integrative teaching methodology were divided into 3 age groups: 3–4; 5–7 and 8–12 grade students. Students and teachers who participated in the teaching of integrative teaching methodology were questionnaire before and after using of this methodology. The questionnaires about self-organization problems, relations between students and behaviour of students were filled by teachers but the questionnaire about the learning motivation of students was filled by students themselves. The results of questionnaire showed that problems of self-organization, motivation, hyperactivity, attention deficiency, social anxiety, communication and depressive symptomatic of students who were taught according to the integrative teaching methodology of general schools have reduced in all age groups but in 5–7 and 8–12 grade groups of student's aggressive behaviour reduced as well. Self-organization and behaviour problems of students from special schools after realizing integrative teaching methodology have less reduced in comparison with students of general education schools. In general education schools as well as in special schools external learning motivation and internal learning motivation of all age students increased but am motivation or lack of motivation to learn decreased.

  19. A New Method in the Location Problem using Fuzzy Evidential Reasoning

    Directory of Open Access Journals (Sweden)

    Sh. Rahgan

    2012-11-01

    Full Text Available One of the most important factors leading to the success of a company is its location. Branches have a strategic importance on an organization’s performance and its competitiveness. The purpose of this study is to present a decision-making model for selecting the most appropriate location for a bank branch. This research is the first study in the bank branch location researches considering various types of uncertainties. This model involves both quantitative and qualitative attributes as well as various types of uncertainty. So, we propose a methodology by integrating the fuzzy AHP and Evidential Reasoning approach. The fuzzy extent analysis is used to determine the weights of attributes and sub-attributes and the interval ER algorithm is used to rank the alternatives. This methodology can be used to help the decision makers, because it is capable of handling incomplete and imprecise judgments. We have demonstrated the applicability of the methodology through a case study.

  20. The Socio-ecological Fit of Human Responses to Environmental Degradation: An Integrated Assessment Methodology

    Science.gov (United States)

    Briassoulis, Helen

    2015-12-01

    The scientific and policy interest in the human responses to environmental degradation usually focuses on responses sensu stricto and `best practices' that potentially abate degradation in affected areas. The transfer of individual, discrete instruments and `best practices' to different contexts is challenging, however, because socio-ecological systems are complex and environmental degradation is contextual and contingent. To sensibly assess the effectiveness of formal and informal interventions to combat environmental degradation, the paper proposes an integrative, non-reductionist analytic, the `response assemblage', for the study of `responses-in-context,' i.e., products of human decisions to utilize environmental resources to satisfy human needs in socio-ecological systems. Response assemblages are defined as geographically and historically unique, provisional, open, territorial wholes, complex compositions emerging from processes of assembling biophysical and human components, including responses sensu stricto, from affected focal and other socio-ecological systems, to serve human goals, one of which may be combatting environmental degradation. The degree of match among the components, called the socio- ecological fit of the response assemblage, indicates how effectively their contextual and contingent interactions maintain the socio-ecological resilience, promote sustainable development, and secure the continuous provision of ecosystem services in a focal socio-ecological system. The paper presents a conceptual approach to the analysis of the socio-ecological fit of response assemblages and details an integrated assessment methodology synthesizing the resilience, assemblage, and `problem of fit' literature. Lastly, it summarizes the novelty, value, and policy relevance of conceptualizing human responses as response assemblages and of the integrated assessment methodology, reconsiders `best practices' and suggests selected future research directions.

  1. The Socio-ecological Fit of Human Responses to Environmental Degradation: An Integrated Assessment Methodology.

    Science.gov (United States)

    Briassoulis, Helen

    2015-12-01

    The scientific and policy interest in the human responses to environmental degradation usually focuses on responses sensu stricto and 'best practices' that potentially abate degradation in affected areas. The transfer of individual, discrete instruments and 'best practices' to different contexts is challenging, however, because socio-ecological systems are complex and environmental degradation is contextual and contingent. To sensibly assess the effectiveness of formal and informal interventions to combat environmental degradation, the paper proposes an integrative, non-reductionist analytic, the 'response assemblage', for the study of 'responses-in-context,' i.e., products of human decisions to utilize environmental resources to satisfy human needs in socio-ecological systems. Response assemblages are defined as geographically and historically unique, provisional, open, territorial wholes, complex compositions emerging from processes of assembling biophysical and human components, including responses sensu stricto, from affected focal and other socio-ecological systems, to serve human goals, one of which may be combatting environmental degradation. The degree of match among the components, called the socio-ecological fit of the response assemblage, indicates how effectively their contextual and contingent interactions maintain the socio-ecological resilience, promote sustainable development, and secure the continuous provision of ecosystem services in a focal socio-ecological system. The paper presents a conceptual approach to the analysis of the socio-ecological fit of response assemblages and details an integrated assessment methodology synthesizing the resilience, assemblage, and 'problem of fit' literature. Lastly, it summarizes the novelty, value, and policy relevance of conceptualizing human responses as response assemblages and of the integrated assessment methodology, reconsiders 'best practices' and suggests selected future research directions.

  2. Adaptive fuzzy sliding mode control for synchronization of uncertain fractional order chaotic systems

    Energy Technology Data Exchange (ETDEWEB)

    Lin, Tsung-Chih, E-mail: tclin@fcu.edu.tw [Department of Electronic Engineering, Feng-Chia University, Taichung, Taiwan (China); Lee, Tun-Yuan [Department of Electronic Engineering, Feng-Chia University, Taichung, Taiwan (China); Balas, Valentina E. [Aurel Vlaicu University of Arad, B-dul Revolutiei 77, 310130 Arad (Romania)

    2011-10-15

    Highlights: > We study uncertain fractional order chaotic systems synchronization. > Lyapunov synthesis is used to derive control law and adaptive laws. > Based on sliding mode control, chattering phenomena in the control effort can be reduced. - Abstract: This paper deals with chaos synchronization between two different uncertain fractional order chaotic systems based on adaptive fuzzy sliding mode control (AFSMC). With the definition of fractional derivatives and integrals, a fuzzy Lyapunov synthesis approach is proposed to tune free parameters of the adaptive fuzzy controller on line by output feedback control law and adaptive law. Moreover, chattering phenomena in the control efforts can be reduced. The sliding mode design procedure not only guarantees the stability and robustness of the proposed AFSMC, but also the external disturbance on the synchronization error can be attenuated. The simulation example is included to confirm validity and synchronization performance of the advocated design methodology.

  3. Supply China Production-distribution Cost Optimization under Grey Fuzzy Uncertainty

    Institute of Scientific and Technical Information of China (English)

    LIU Dong-bo; CHEN Yu-juan; HUANG Dao; TIAN Yu

    2008-01-01

    Most supply chain programming problems are restricted to the deterministic situations or stochastic environments. Considering twofold uncertainty combining grey and fuzzy factors, this paper proposes a hybrid uncertain programming model to optimize the supply chain production-distribution cost. The programming parameters of the material suppliers, manufacturer, distribution centers, and the customers are integrated into the presented model. On the basis of the chance measure and the credibility of grey fuzzy variable, the grey fuzzy simulation methodology was proposed to generate input-output data for the uncertain functions. The designed neural network can expedite the simulation process after trained from the generated input-output data. The improved Particle Swarm Optimization (PSO) algorithm based on the Differential Evolution (DE) algorithm can optimize the uncertain programming problems. A numerical example was presented to highlight the significance of the uncertain model and the feasibility of the solution strategy.

  4. Modeling the effects of electrical and non-electrical parameters on the material removal and surface integrity in case of µEDM of a non-conductive ceramic material using a combined fuzzy-AOM approach

    DEFF Research Database (Denmark)

    Puthumana, Govindan

    2016-01-01

    and surface integrity for a non-conductive ceramic material. The fuzzy logic modeling system is employed for predicting the μEDM process responses. The trends in the material removal rate and hardness values with the chosen electrical and non-electrical parameter for the model and obtained using AOM approach...

  5. Safety studies on Korean fusion DEMO plant using integrated safety assessment methodology

    Energy Technology Data Exchange (ETDEWEB)

    Oh, Kyemin; Kang, Myoung-suk [Kyung Hee University, Youngin-si, Gyeonggi-do 446-701 (Korea, Republic of); Heo, Gyunyoung, E-mail: gheo@khu.ac.kr [Kyung Hee University, Youngin-si, Gyeonggi-do 446-701 (Korea, Republic of); Kim, Hyoung-chan [National Fusion Research Institute, Daejeon-si 305-333 (Korea, Republic of)

    2014-10-15

    Highlights: •The purpose of this paper is to suggest methodology that can investigate safety issues and provides a case study for Korean fusion DEMO plant. •The concepts of integrated safety assessment methodology (ISAM) that can be applied in addressing regulatory requirements and recognizing safety issues for K-DEMO were emphasized. •Phenomena identification and ranking table (PIRT) was proposed. It can recognize vulnerabilities of systems and identify the gaps in technical areas requiring additional researches. •This work is expected to contribute on the conceptual design of safety features for K-DEMO to design engineers and the guidance for regulatory requirements to licensers. -- Abstract: The purpose of this paper is to suggest methodology that can investigate safety issues and provides a case study for Korean fusion DEMO plant (K-DEMO) as a part of R and D program through the National Fusion Research Institute of Korea. Even though nuclear regulation and licensing framework is well setup due to the operating and design experience of Pressurized Water Reactors (PWRs) since 1970s, the regulatory authority of South Korea has concerns on the challenge of facing new nuclear facilities including K-DEMO due to the differences in systems, materials, and inherent safety feature from conventional PWRs. Even though the follow-up of the ITER license process facilitates to deal with significant safety issues of fusion facilities, a licensee as well as a licenser should identify the gaps between ITER and DEMO in terms of safety issues. First we reviewed the methods of conducting safety analysis for unprecedented nuclear facilities such as Generation IV reactors, particularly very high temperature reactor (VHTR), which is called as integrated safety assessment methodology (ISAM). Second, the analysis for the conceptual design of K-DEMO on the basis of ISAM was conducted. The ISAM consists of five analytical tools to develop the safety requirements from licensee

  6. Integrating Social Activity Theory and Critical Discourse Analysis: A Multilayered Methodological Model for Examining Knowledge Mediation in Mentoring

    Science.gov (United States)

    Becher, Ayelet; Orland-Barak, Lily

    2016-01-01

    This study suggests an integrative qualitative methodological framework for capturing complexity in mentoring activity. Specifically, the model examines how historical developments of a discipline direct mentors' mediation of professional knowledge through the language that they use. The model integrates social activity theory and a framework of…

  7. National hydrogen technology competitiveness analysis with an integrated fuzzy AHP and TOPSIS approaches: In case of hydrogen production and storage technologies

    Science.gov (United States)

    Lee, Seongkon; Mogi, Gento

    2017-02-01

    The demand of fossil fuels, including oil, gas, and coal has been increasing with the rapid development of developing countries such as China and India. U.S., Japan, EU, and Korea have been making efforts to transfer to low carbon and green growth economics for sustainable development. And they also have been measuring to cope with climate change and the depletion of conventional fuels. Advanced nations implemented strategic energy technology development plans to lead the future energy market. Strategic energy technology development is crucial alternative to address the energy issues. This paper analyze the relative competitiveness of hydrogen energy technologies in case of hydrogen production and storage technologies from 2006 to 2010. Hydrogen energy technology is environmentally clean technology comparing with the previous conventional energy technologies and will play a key role to solve the greenhouse gas effect. Leading nations have increasingly focused on hydrogen technology R&D. This research is carried out the relative competitiveness of hydrogen energy technologies employed by an integrated fuzzy analytic hierarchy process (Fuzzy AHP) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. We make four criteria, accounting for technological status, R&D budget, R&D human resource, and hydrogen infra. This research can be used as fundamental data for implementing national hydrogen energy R&D planning for energy policy-makers.

  8. Fuzzy Set Approximations in Fuzzy Formal Contexts

    Institute of Scientific and Technical Information of China (English)

    Mingwen Shao; Shiqing Fan

    2006-01-01

    In this paper, a kind of multi-level formal concept is introduced. Based on the proposed multi-level formal concept, we present a pair of rough fuzzy set approximations within fuzzy formal contexts. By the proposed rough fuzzy set approximations, we can approximate a fuzzy set according to different precision level. We discuss the properties of the proposed approximation operators in detail.

  9. FUZZY LOGIC IN LEGAL EDUCATION

    Directory of Open Access Journals (Sweden)

    Z. Gonul BALKIR

    2011-04-01

    Full Text Available The necessity of examination of every case within its peculiar conditions in social sciences requires different approaches complying with the spirit and nature of social sciences. Multiple realities require different and various perceptual interpretations. In modern world and social sciences, interpretation of perception of valued and multi-valued have been started to be understood by the principles of fuzziness and fuzzy logic. Having the verbally expressible degrees of truthness such as true, very true, rather true, etc. fuzzy logic provides the opportunity for the interpretation of especially complex and rather vague set of information by flexibility or equivalence of the variables’ of fuzzy limitations. The methods and principles of fuzzy logic can be benefited in examination of the methodological problems of law, especially in the applications of filling the legal loopholes arising from the ambiguities and interpretation problems in order to understand the legal rules in a more comprehensible and applicable way and the efficiency of legal implications. On the other hand, fuzzy logic can be used as a technical legal method in legal education and especially in legal case studies and legal practice applications in order to provide the perception of law as a value and the more comprehensive and more quality perception and interpretation of value of justice, which is the core value of law. In the perception of what happened as it has happened in legal relationships and formations, the understanding of social reality and sociological legal rules with multi valued sense perspective and the their applications in accordance with the fuzzy logic’s methods could create more equivalent and just results. It can be useful for the young lawyers and law students as a facilitating legal method especially in the materialization of the perception and interpretation of multi valued and variables. Using methods and principles of fuzzy logic in legal

  10. Fuzzy controlofanylonpolymerizationsemi-batchreactor

    OpenAIRE

    Wakabayashi, C; Embiruçu, Marcelo; Fontes, Cristiano; Kalid, Ricardo

    2009-01-01

    Acesso restrito: Texto completo. p. 537-553 Batch and semi-batch polymerization reactors with specified trajectories for certain process variables present challenging control problems. This work reports, results and procedures related to the application of PI (proportional and integral) fuzzy control in a semi-batch reactor for the production of nylon 6. Closed loop simulation results were based on a phenomenological model adjusted for a commercial reactor and they attest to the potential ...

  11. Fuzzy logic membership implementation using optical hardware components

    Science.gov (United States)

    Moniem, T. A.; Saleh, M. H.

    2012-10-01

    Intelligent control techniques consist of knowledge-based expert or fuzzy logic control. One obvious drawback in many such applications is that fuzzy logic memberships are implemented at the lowest level. In high-bandwidth processes, this form of fuzzy logic membership implementation would require high speed and accuracy in the presence of strong nonlinearities and dynamic coupling. This paper presents a novel methodology called the Opto-fuzzy method to design a fuzzy logic membership using an optical hardware component. The proposed scheme is applied to triangular-shaped and half trapezoidal-shaped membership functions.

  12. The Self-Organising Fuzzy Controller

    DEFF Research Database (Denmark)

    Jantzen, Jan

    1998-01-01

    A marginally stable test system, with a large dead time and an integrator, is stabilised by a self-organising fuzzy controller in a simulation study. It acts as a case study, to explain the self-organising controller to engineering students. The paper is one of a series of tutorial papers...... for a course in fuzzy control....

  13. The Self-Organising Fuzzy Controller

    DEFF Research Database (Denmark)

    Jantzen, Jan

    1998-01-01

    A marginally stable test system, with a large dead time and an integrator, is stabilised by a self-organising fuzzy controller in a simulation study. It acts as a case study, to explain the self-organising controller to engineering students. The paper is one of a series of tutorial papers...... for a course in fuzzy control....

  14. Fuzzy Clustering

    DEFF Research Database (Denmark)

    Berks, G.; Keyserlingk, Diedrich Graf von; Jantzen, Jan

    2000-01-01

    A symptom is a condition indicating the presence of a disease, especially, when regarded as an aid in diagnosis.Symptoms are the smallest units indicating the existence of a disease. A syndrome on the other hand is an aggregate, set or cluster of concurrent symptoms which together indicate...... and clustering are the basic concerns in medicine. Classification depends on definitions of the classes and their required degree of participant of the elements in the cases' symptoms. In medicine imprecise conditions are the rule and therefore fuzzy methods are much more suitable than crisp ones. Fuzzy c......-mean clustering is an easy and well improved tool, which has been applied in many medical fields. We used c-mean fuzzy clustering after feature extraction from an aphasia database. Factor analysis was applied on a correlation matrix of 26 symptoms of language disorders and led to five factors. The factors...

  15. Fuzzy jets

    Energy Technology Data Exchange (ETDEWEB)

    Mackey, Lester [Department of Statistics, Stanford University,Stanford, CA 94305 (United States); Nachman, Benjamin [Department of Physics, Stanford University,Stanford, CA 94305 (United States); SLAC National Accelerator Laboratory, Stanford University,2575 Sand Hill Rd, Menlo Park, CA 94025 (United States); Schwartzman, Ariel [SLAC National Accelerator Laboratory, Stanford University,2575 Sand Hill Rd, Menlo Park, CA 94025 (United States); Stansbury, Conrad [Department of Physics, Stanford University,Stanford, CA 94305 (United States)

    2016-06-01

    Collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets. To construct jets, the experimental collaborations based at the Large Hadron Collider (LHC) primarily use agglomerative hierarchical clustering schemes known as sequential recombination. We propose a new class of algorithms for clustering jets that use infrared and collinear safe mixture models. These new algorithms, known as fuzzy jets, are clustered using maximum likelihood techniques and can dynamically determine various properties of jets like their size. We show that the fuzzy jet size adds additional information to conventional jet tagging variables in boosted topologies. Furthermore, we study the impact of pileup and show that with some slight modifications to the algorithm, fuzzy jets can be stable up to high pileup interaction multiplicities.

  16. The Partial Fuzzy Set

    OpenAIRE

    Dr.Pranita Goswami

    2011-01-01

    The Partial Fuzzy Set is a portion of the Fuzzy Set which is again a Fuzzy Set. In the Partial Fuzzy Set the baseline is shifted from 0 to 1 to any of its α cuts . In this paper we have fuzzified a portion of the Fuzzy Set by transformation

  17. Methodology for Supply Chain Integration: A Case Study in the Artisan Industry of Footwear

    Directory of Open Access Journals (Sweden)

    Jorge Raúl Pérez-Gallardo

    2014-01-01

    Full Text Available The supply chain is a major issue in a global market. The efficient relationship between supplier-producer-retailer conforms the perfect combination to achieve a high level of competitiveness according to the needs of increasingly demanding and changing markets. The difficulty of synchronizing the members within the SC is related to the inherent uncertain factors. This paper proposes a methodology for integrating the supply chain that can be applied in any type of business. To demonstrate its relevance, a case study is performed at a handmade shoe company. An improved demand forecasting, an optimal balanced production line, a proper inventory management of raw materials, and an efficient calculation of the delivery time to the customer represent some of the main results.

  18. Methodology guideline for clinical studies investigating traditional Chinese medicine and integrative medicine: executive summary.

    Science.gov (United States)

    Liu, Jian-Ping; Chen, Ke-Ji

    2015-10-01

    This guideline aims to provide a methodological guidance for clinical studies in TCM and integrative medicine in terms of study design, execution, and reporting. The commonly used methods including experimental and observational methods were introduced in this guideline such as randomized clinical trials, cohort study, case-control study, case series, and qualitative method which can be incorporated into above quantitative methods. The guideline can be used for the evaluation of therapeutic effect of TCM therapies or their combination with conventional therapy. TCM therapy refers to one of the followings or their combination: herbal medicine, acupuncture, moxibustion, cupping, Taichi/Qigong, and Guasha,Tuina (therapeutic massage). It is also suitable for research and development of ethnopharmaceuticals or folk medicine.

  19. Development of a Simplified Process Integration Methodology for application in Medium-Size Industries

    DEFF Research Database (Denmark)

    Bergamini, Riccardo; Nguyen, Tuong-Van; Bühler, Fabian

    2016-01-01

    opportunities may be missed in the case of medium-size industries. Applying these methods may indeed be costly and time consuming,as it can require large engineering efforts, e.g., for data acquisition.This paper presents a methodology based on process integration techniques, termed "Specific Savings......Potential method" (SSP), to depict and promote energy savings in intermediate-size industries for plant retrofit. It builds on the idea that only few of the process streams in a factory should be considered for efficiency measures implementation with regards to economic and operational aspects. Three screening...... and shorten the conventional pinch technique, while depicting the most promising savings opportunities: in the case study a reduction in energy use of 24% is achieved when only considering 24 process streams out of 62. In this sense, it has the potential of promoting the application of PI tools...

  20. Rough set-based hybrid fuzzy-neural controller design for industrial wastewater treatment.

    Science.gov (United States)

    Chen, W C; Chang, Ni-Bin; Chen, Jeng-Chung

    2003-01-01

    Recent advances in control engineering suggest that hybrid control strategies, integrating some ideas and paradigms existing in different soft computing techniques, such as fuzzy logic, genetic algorithms, rough set theory, and neural networks, may provide improved control performance in wastewater treatment processes. This paper presents an innovative hybrid control algorithm leading to integrate the distinct aspects of indiscernibility capability of rough set theory and search capability of genetic algorithms with conventional neural-fuzzy controller design. The methodology proposed in this study employs a three-stage analysis that is designed in series for generating a representative state function, searching for a set of multi-objective control strategies, and performing a rough set-based autotuning for the neural-fuzzy logic controller to make it applicable for controlling an industrial wastewater treatment process. Research findings in the case study clearly indicate that the use of rough set theory to aid in the neural-fuzzy logic controller design can produce relatively better plant performance in terms of operating cost, control stability, and response time simultaneously, which is effective at least in the selected industrial wastewater treatment plant. Such a methodology is anticipated to be capable of dealing with many other types of process control problems in waste treatment processes by making only minor modifications.

  1. Structural integrity assessments of steam generator tubes using the FAD methodology

    Energy Technology Data Exchange (ETDEWEB)

    Bergant, Marcos A., E-mail: marcos.bergant@cab.cnea.gov.ar [Gerencia CAREM, Centro Atómico Bariloche (CNEA), Av. Bustillo 9500, San Carlos de Bariloche 8400 (Argentina); Yawny, Alejandro A., E-mail: yawny@cab.cnea.gov.ar [División Física de Metales, Centro Atómico Bariloche (CNEA)/CONICET, Av. Bustillo 9500, San Carlos de Bariloche 8400 (Argentina); Perez Ipiña, Juan E., E-mail: juan.perezipina@fain.uncoma.edu.ar [Grupo Mecánica de Fractura, Universidad Nacional del Comahue/CONICET, Buenos Aires 1400, Neuquén 8300 (Argentina)

    2015-12-15

    Highlights: • The Failure Assessment Diagram (FAD) is used to assess cracked steam generator tubes. • Typical loading conditions and reported tensile and fracture properties are used. • The FAD is capable to predict the failure mode for different cracks and loads. • The FAD can be used to reduce the conservatism of the current plugging criteria. • Appropriate tensile and fracture properties at operating conditions are required. - Abstract: Steam generator tubes (SGTs) represents up to 60% of the total primary pressure retaining boundary area of a nuclear power plant. They have been found susceptible to diverse degradation mechanisms during service. Due to the significance of a SGT failure on the plant safe operation, nuclear regulatory authorities have established tube plugging or repairing criteria which are based on the defect depth. The widespreadly used “40% criterion” proposed in the 70s is an example whose use is still recommended in the last editions of the ASME Boiler and Pressure Vessel Code. In the present work, an alternative, more realistic and less conservative methodology for SGT integrity evaluation is proposed. It is based on the Failure Assessment Diagram (FAD) and takes advantage of the recent developments in non-destructive techniques which allow a more comprehensive characterization of tube defects, i.e., depth, length, orientation and type. The proposed approach has been applied to: the study of the influence of primary and secondary stresses on tube integrity; the prediction of failure mode (i.e., ductile fracture or plastic collapse) of defective SGTs for varied crack geometries and loading conditions; the analysis of the sensibility of tensile and fracture properties with temperature. The potentiality of the FAD as a comprehensive methodology for predicting the failure loads and failure modes of flawed SGTs is highlighted.

  2. Improvement on fuzzy controller design techniques

    Science.gov (United States)

    Wang, Paul P.

    1993-01-01

    This paper addresses three main issues, which are somewhat interrelated. The first issue deals with the classification or types of fuzzy controllers. Careful examination of the fuzzy controllers designed by various engineers reveals distinctive classes of fuzzy controllers. Classification is believed to be helpful from different perspectives. The second issue deals with the design according to specifications, experiments related to the tuning of fuzzy controllers, according to the specification, will be discussed. General design procedure, hopefully, can be outlined in order to ease the burden of a design engineer. The third issue deals with the simplicity and limitation of the rule-based IF-THEN logical statements. The methodology of fuzzy-constraint network is proposed here as an alternative to the design practice at present. It is our belief that predicate calculus and the first order logic possess much more expressive power.

  3. Markowitz portfolio optimization model employing fuzzy measure

    Science.gov (United States)

    Ramli, Suhailywati; Jaaman, Saiful Hafizah

    2017-04-01

    Markowitz in 1952 introduced the mean-variance methodology for the portfolio selection problems. His pioneering research has shaped the portfolio risk-return model and become one of the most important research fields in modern finance. This paper extends the classical Markowitz's mean-variance portfolio selection model applying the fuzzy measure to determine the risk and return. In this paper, we apply the original mean-variance model as a benchmark, fuzzy mean-variance model with fuzzy return and the model with return are modeled by specific types of fuzzy number for comparison. The model with fuzzy approach gives better performance as compared to the mean-variance approach. The numerical examples are included to illustrate these models by employing Malaysian share market data.

  4. Methodological approach for an integrated environmental monitoring system relative to heavy metals from an incineration plant

    Energy Technology Data Exchange (ETDEWEB)

    Morselli, L.; Passarini, F.; Zamagni, E.; Brusori, B. [Bologna Univ., Bologna (Italy). Dipt. di Chimica Industriale e dei Materiali, Facolta' di Chimica Industriale

    2000-12-01

    The use of an integrated environmental monitoring system is an innovative and very important approach for the determination of environmental impacts due to a contamination source. In the present work, the methodological approach is described and applied to the case study of a MSW incineration plant. Heavy metals were chosen as Environmental Indicators. Gaseous emissions were measured and correlated to wet and dry depositions, soil and vegetation samples. Results show a good correlation between stack emissions and atmospheric deposition; less with soil and vegetation, but these results are important in order to design a standard procedure for an Integrated Monitoring System. [Italian] L'uso di un Sistema Integrato di Monitoraggio Ambientale rappresenta un approccio innovativo ed estremamente importante per la determinazione degli impatti ambientali derivanti da una fonte di contaminazione. Nel presente lavoro questo approccio metodologico viene descritto e applicato al caso studio di un impianto di incenerimento di Rifiuti Solidi Urbani. I metalli pesanti sono stati scelti come Indicatori Ambientali. Le emissioni gassose dal camino sono state misurate e correlate con le deposizioni secche ed umide e con alcuni campioni di suolo e di vegetazione. I risultati mettono in rilievo una buona correlazione tra emissioni al camino e deposizioni atmosferiche; meno con suolo e vegetali, ma i risultati rimangono importanti ai fini della definizione di una procedura generale di riferimento per un Sistema Integrato di Monitoraggio.

  5. Integrated analytical methodologies for the study of corrosion processes in archaeological bronzes

    Energy Technology Data Exchange (ETDEWEB)

    Alberghina, Maria Francesca; Barraco, Rosita; Brai, Maria; Schillaci, Tiziano, E-mail: tschillaci@unipa.it; Tranchina, Luigi

    2011-02-15

    The investigations on structure and micro-chemical composition of archaeological metal alloys are needed in archaeometry. The aim of this study is devoted both to acquire information about their provenance and production technology, and to improve our understanding about the corrosion processes. In this paper we present the study of the corrosion phenomena of bronze samples, laboratory-made according to binary, ternary and quaternary alloys typical of Roman archaeometallurgical production through an integrated methodology based on the use of non or micro invasive physical techniques. Among the analysed samples, two were artificially aged through burial in the archaeological site of Tharros, along the west coast of Sardinia (Italy). The corrosion products, typical of the bronzes in archaeological sites near the sea, have been characterized by non invasive and micro-destructive measurements. In particular, the corrosion patinas were examined through optical microscopy, scanning electron microscopy and microanalysis, X-ray fluorescence and laser ablation spectroscopy. The use of integrated technologies allowed us to determine both the elemental composition and surface morphology of the patina, highlighting the correlation between patina nature and chemical composition of the burial context. Moreover, data obtained by the laser-induced breakdown spectroscopy along the depth profile on the samples, have yielded information about the stratigraphic layers of corrosion products and their growth. Finally, the depth profiles allowed us to verify both the chemical elements constituting the patina, the metal ions constituting the alloy and the occurrence of migration phenomena from bulk to the surface.

  6. Methodology and issues of integral experiments selection for nuclear data validation

    Science.gov (United States)

    Tatiana, Ivanova; Ivanov, Evgeny; Hill, Ian

    2017-09-01

    Nuclear data validation involves a large suite of Integral Experiments (IEs) for criticality, reactor physics and dosimetry applications. [1] Often benchmarks are taken from international Handbooks. [2, 3] Depending on the application, IEs have different degrees of usefulness in validation, and usually the use of a single benchmark is not advised; indeed, it may lead to erroneous interpretation and results. [1] This work aims at quantifying the importance of benchmarks used in application dependent cross section validation. The approach is based on well-known General Linear Least Squared Method (GLLSM) extended to establish biases and uncertainties for given cross sections (within a given energy interval). The statistical treatment results in a vector of weighting factors for the integral benchmarks. These factors characterize the value added by a benchmark for nuclear data validation for the given application. The methodology is illustrated by one example, selecting benchmarks for 239Pu cross section validation. The studies were performed in the framework of Subgroup 39 (Methods and approaches to provide feedback from nuclear and covariance data adjustment for improvement of nuclear data files) established at the Working Party on International Nuclear Data Evaluation Cooperation (WPEC) of the Nuclear Science Committee under the Nuclear Energy Agency (NEA/OECD).

  7. Elastic-Plastic J-Integral Solutions or Surface Cracks in Tension Using an Interpolation Methodology

    Science.gov (United States)

    Allen, P. A.; Wells, D. N.

    2013-01-01

    No closed form solutions exist for the elastic-plastic J-integral for surface cracks due to the nonlinear, three-dimensional nature of the problem. Traditionally, each surface crack must be analyzed with a unique and time-consuming nonlinear finite element analysis. To overcome this shortcoming, the authors have developed and analyzed an array of 600 3D nonlinear finite element models for surface cracks in flat plates under tension loading. The solution space covers a wide range of crack shapes and depths (shape: 0.2 less than or equal to a/c less than or equal to 1, depth: 0.2 less than or equal to a/B less than or equal to 0.8) and material flow properties (elastic modulus-to-yield ratio: 100 less than or equal to E/ys less than or equal to 1,000, and hardening: 3 less than or equal to n less than or equal to 20). The authors have developed a methodology for interpolating between the goemetric and material property variables that allows the user to reliably evaluate the full elastic-plastic J-integral and force versus crack mouth opening displacement solution; thus, a solution can be obtained very rapidly by users without elastic-plastic fracture mechanics modeling experience. Complete solutions for the 600 models and 25 additional benchmark models are provided in tabular format.

  8. Properties of fuzzy hyperplanes

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhong; LI Chuandong; WU Deyin

    2004-01-01

    Some properties of closed fuzzy matroid and those of its hyperplanes are investigated. A fuzzy hyperplane property,which extends the analog of a crisp matroid from crisp set systems to fuzzy set systems, is proved.

  9. 三角模糊数的TOPSIS评价方法在弹药运输路径优选中的应用%Application of TOPSIS Evaluation Methodology in Ammo Transportation Route Optimization Based on Triangular Fuzzy Number

    Institute of Scientific and Technical Information of China (English)

    孙丽君

    2013-01-01

    Wartime ammo transportation route selection and evaluation is a process of multi-objective decision. In order to select and evaluate the ammo transportation route systematic and scientifically,a target system was structured compounded by haulage time,safety and guarantee price. The TOPSIS evaluation methodology based on triangular fuzzy number was used to evaluate the selection of ammo transportation route. Result shows that,evaluate method of triangular fuzzy number based TOPSIS is suitable for wartime ammo transportation route selection and can provide scientific basis of army ammo guarantee.%战时弹药运输的路径选择评价是一个多属性决策过程,为了对弹药运输的路径进行系统科学地评价和选择,构建由运输时间、安全性和保障代价3个评价指标组成的指标体系,运用三角模糊数的TOPSIS评价方法,对弹药运输线路的选择进行了实证分析评价。分析结果表明:三角模糊数的TOPSIS评价方法对战时弹药运输的路径选择有较好的适用性,能有效为部队的弹药保障工作提供科学依据。

  10. The integration methods of fuzzy fault mode and effect analysis and fault tree analysis for risk analysis of yogurt production

    Science.gov (United States)

    Aprilia, Ayu Rizky; Santoso, Imam; Ekasari, Dhita Murita

    2017-05-01

    Yogurt is a product based on milk, which has beneficial effects for health. The process for the production of yogurt is very susceptible to failure because it involves bacteria and fermentation. For an industry, the risks may cause harm and have a negative impact. In order for a product to be successful and profitable, it requires the analysis of risks that may occur during the production process. Risk analysis can identify the risks in detail and prevent as well as determine its handling, so that the risks can be minimized. Therefore, this study will analyze the risks of the production process with a case study in CV.XYZ. The method used in this research is the Fuzzy Failure Mode and Effect Analysis (fuzzy FMEA) and Fault Tree Analysis (FTA). The results showed that there are 6 risks from equipment variables, raw material variables, and process variables. Those risks include the critical risk, which is the risk of a lack of an aseptic process, more specifically if starter yogurt is damaged due to contamination by fungus or other bacteria and a lack of sanitation equipment. The results of quantitative analysis of FTA showed that the highest probability is the probability of the lack of an aseptic process, with a risk of 3.902%. The recommendations for improvement include establishing SOPs (Standard Operating Procedures), which include the process, workers, and environment, controlling the starter of yogurt and improving the production planning and sanitation equipment using hot water immersion.

  11. An integrated supply chain model for new products with imprecise production and supply under scenario dependent fuzzy random demand

    Science.gov (United States)

    Nagar, Lokesh; Dutta, Pankaj; Jain, Karuna

    2014-05-01

    In the present day business scenario, instant changes in market demand, different source of materials and manufacturing technologies force many companies to change their supply chain planning in order to tackle the real-world uncertainty. The purpose of this paper is to develop a multi-objective two-stage stochastic programming supply chain model that incorporates imprecise production rate and supplier capacity under scenario dependent fuzzy random demand associated with new product supply chains. The objectives are to maximise the supply chain profit, achieve desired service level and minimise financial risk. The proposed model allows simultaneous determination of optimum supply chain design, procurement and production quantities across the different plants, and trade-offs between inventory and transportation modes for both inbound and outbound logistics. Analogous to chance constraints, we have used the possibility measure to quantify the demand uncertainties and the model is solved using fuzzy linear programming approach. An illustration is presented to demonstrate the effectiveness of the proposed model. Sensitivity analysis is performed for maximisation of the supply chain profit with respect to different confidence level of service, risk and possibility measure. It is found that when one considers the service level and risk as robustness measure the variability in profit reduces.

  12. An Integrated Expert Controller for the Oven Temperature Control System

    Directory of Open Access Journals (Sweden)

    Nagabhushana KATTE

    2011-03-01

    Full Text Available Paper presents a methodology for design of integrated fuzzy logic based an expert controller and its implementation for a real time oven temperature control system. Integrated expert controller (IEC is composed by cascading fuzzy logic controller with improved PID controller. Wherein, fuzzy controller evaluates the supplemental control actions and PID evaluates the final control actions. Temperature measurement of the oven with a precision of 16-bits is achieved through Pt100, instrumentation amplifier, and A/D converter and fuzzy plus PID computed control actions are given to the actuator via D/A converter (16-bits and PWM generator. Paper experimentally demonstrated the performance of IEC for oven temperature control application. The performance indexes of the system are presented in a comparative fashion with the conventional PID and expert controllers. Control algorithms are developed using C language.

  13. Technical Report on Preliminary Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Ramuhalli, Pradeep; Coles, Garill A.; Coble, Jamie B.; Hirt, Evelyn H.

    2013-09-17

    Small modular reactors (SMRs) generally include reactors with electric output of ~350 MWe or less (this cutoff varies somewhat but is substantially less than full-size plant output of 700 MWe or more). Advanced SMRs (AdvSMRs) refer to a specific class of SMRs and are based on modularization of advanced reactor concepts. AdvSMRs may provide a longer-term alternative to traditional light-water reactors (LWRs) and SMRs based on integral pressurized water reactor concepts currently being considered. Enhancing affordability of AdvSMRs will be critical to ensuring wider deployment. AdvSMRs suffer from loss of economies of scale inherent in small reactors when compared to large (~greater than 600 MWe output) reactors. Some of this loss can be recovered through reduced capital costs through smaller size, fewer components, modular fabrication processes, and the opportunity for modular construction. However, the controllable day-to-day costs of AdvSMRs will be dominated by operation and maintenance (O&M) costs. Technologies that help characterize real-time risk are important for controlling O&M costs. Risk monitors are used in current nuclear power plants to provide a point-in-time estimate of the system risk given the current plant configuration (e.g., equipment availability, operational regime, and environmental conditions). However, current risk monitors are unable to support the capability requirements listed above as they do not take into account plant-specific normal, abnormal, and deteriorating states of active components and systems. This report documents technology developments that are a step towards enhancing risk monitors that, if integrated with supervisory plant control systems, can provide the capability requirements listed and meet the goals of controlling O&M costs. The report describes research results from an initial methodology for enhanced risk monitors by integrating real-time information about equipment condition and POF into risk monitors.

  14. Performance of Networked DC Motor with Fuzzy Logic Controller

    Directory of Open Access Journals (Sweden)

    B. Sharmila

    2010-07-01

    Full Text Available In the recent years the usage of data networks has been increased due to its cost effective and flexible applications. A shared data network can effectively reduce complicated wiring connections, installation and maintenance for connecting a complex control system with various sensors, actuators, and controllers as a networked control system. For the time-sensitive application with networked control system the remote dc motor actuation control has been chosen. Due to time-varying network traffic demands and disturbances, the guarantee of transmitting signals without any delays or data losses plays a vital role for the performances in using networked control systems. This paper proposes Fuzzy Logic Controller methodology in the networked dc motor control and the results are compared with the performance of the system with Ziegler-Nichols Tuned Proportional-Integral-Derivative Controller and Fuzzy Modulated Proportional-Integral-Derivative Controller. Simulations results are presented to demonstrate the proposed schemes in a closed loop control. The effective results show that the performance of networked control dc motor is improved by using Fuzzy Logic Controller than the other controllers.

  15. A combination of extended fuzzy AHP and fuzzy GRA for government E-tendering in hybrid fuzzy environment.

    Science.gov (United States)

    Wang, Yan; Xi, Chengyu; Zhang, Shuai; Yu, Dejian; Zhang, Wenyu; Li, Yong

    2014-01-01

    The recent government tendering process being conducted in an electronic way is becoming an inevitable affair for numerous governmental agencies to further exploit the superiorities of conventional tendering. Thus, developing an effective web-based bid evaluation methodology so as to realize an efficient and effective government E-tendering (GeT) system is imperative. This paper firstly investigates the potentiality of employing fuzzy analytic hierarchy process (AHP) along with fuzzy gray relational analysis (GRA) for optimal selection of candidate tenderers in GeT process with consideration of a hybrid fuzzy environment with incomplete weight information. We proposed a novel hybrid fuzzy AHP-GRA (HFAHP-GRA) method that combines an extended fuzzy AHP with a modified fuzzy GRA. The extended fuzzy AHP which combines typical AHP with interval AHP is proposed to obtain the exact weight information, and the modified fuzzy GRA is applied to aggregate different types of evaluation information so as to identify the optimal candidate tenderers. Finally, a prototype system is built and validated with an illustrative example for GeT to confirm the feasibility of our approach.

  16. 基于Choquet积分-OWA的自适应神经模糊推理系统及其应用%Choquet Integral-OWA Based Adaptive Neural Fuzzy Inference System and Its Application

    Institute of Scientific and Technical Information of China (English)

    柴园园; 贾利民

    2011-01-01

    In order to solve the defects of consequent part expression in ANFIS (adaptive neural fuzzy inference system) model and several shortcomings in FIS (fuzzy inference system), this paper presents a Choquet integral-OWA (outlook web access) based FIS, known as AggFIS. This model has advantages in consequent part of fuzzy rule, universal expression of fuzzy inference operator and importance factor of each input and each rule, aiming at establish fuzzy inference system that can fully reflect the essence of fuzzy logic and human thinking patterns. If AggFIS is combined with a feed forward-type neural network according to the basic principles of fuzzy neural network, the Choquet integral-OWA based adaptive neural fuzzy inference system (Agg-ANFIS) is obtained, which is applied to the evaluation of traffic level of service. Experimental results show that Agg-ANFIS is a universal approximates because of its nonlinear mapping capability by training and can be used in, analysis and prediction of complex systems modelling.%针对已有的自适应神经模糊推理系统(ANFIS)在模糊规则后件表达上的缺陷和常见的模糊推理系统存在的主要问题,提出基于Choquet积分OWA的模糊推理系统(AggFIS),在模糊规则的后件表达、模糊算子的普适性和输入及规则的权重等方面有很大优势,它试图建立能够充分体现模糊逻辑本质和人类思维模式的模糊推理系统.根据模糊神经网的基本原理将AggFIS与前馈神经网络相结合,得到基于Choquet积分-OWA的自适应神经模糊推理系统(Agg-ANFIS),并将该模型应用于交通服务水平评价问题.实验结果证明,基于Choquet积分OWA的自适应神经模糊推理系统具有很好的非线性映射功能,它的本质是一类通用逼近器,为解决复杂系统的建模、分析及预测问题提供了有效的途径.

  17. Review: Udo Kelle (2007. Die Integration qualitativer und quantitativer Methoden in der empirischen Sozialforschung [Integrating Qualitative and Quantitative Methods in Empirical Social Research: Theoretical Foundations and Methodological Concepts

    Directory of Open Access Journals (Sweden)

    Jeannette Bischkopf

    2008-07-01

    Full Text Available Udo KELLE adds to the debate on integrating qualitative and quantitative methods by going beyond epistemological and pragmatic arguments and placing a stronger emphasis on the area of research and the actual research questions addressed empirically in social science. The fact that social scientific research mainly involves middle-range theories poses specific methodological problems for each of the two research traditions and makes their combination inevitable. The integrative methodological program the author develops can be understood as a new guiding program for evaluating the strengths and weaknesses of qualitative as well as quantitative methods and for deciding in which area of research and for which research questions each methods is best suited. The book provides a wealth of arguments for a theoretical and methodological integration of the two research traditions but these arguments could have been made more accessible by including more examples from actual research projects. URN: urn:nbn:de:0114-fqs080386

  18. The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection

    Science.gov (United States)

    Tahriri, Farzad; Mousavi, Maryam; Hozhabri Haghighi, Siamak; Zawiah Md Dawal, Siti

    2014-06-01

    In today's highly rival market, an effective supplier selection process is vital to the success of any manufacturing system. Selecting the appropriate supplier is always a difficult task because suppliers posses varied strengths and weaknesses that necessitate careful evaluations prior to suppliers' ranking. This is a complex process with many subjective and objective factors to consider before the benefits of supplier selection are achieved. This paper identifies six extremely critical criteria and thirteen sub-criteria based on the literature. A new methodology employing those criteria and sub-criteria is proposed for the assessment and ranking of a given set of suppliers. To handle the subjectivity of the decision maker's assessment, an integration of fuzzy Delphi with fuzzy inference system has been applied and a new ranking method is proposed for supplier selection problem. This supplier selection model enables decision makers to rank the suppliers based on three classifications including "extremely preferred", "moderately preferred", and "weakly preferred". In addition, in each classification, suppliers are put in order from highest final score to the lowest. Finally, the methodology is verified and validated through an example of a numerical test bed.

  19. Design New PID like Fuzzy CTC Controller: Applied to Spherical Motor

    Directory of Open Access Journals (Sweden)

    Mohammad shamsodini

    2014-05-01

    Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Computed Torque Controller with application to spherical motor is presented in this research. The popularity of PID Fuzzy Computed Torque Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and acceptable trajectory follow disturbance to control of spherical motor. However computed torque controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation. This research is used to reduce or eliminate the computed torque controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  20. Fuzzy dynamic output feedback H∞ control for continuous-time T-S fuzzy systems under imperfect premise matching.

    Science.gov (United States)

    Zhao, Tao; Dian, Songyi

    2017-09-01

    This paper addresses a fuzzy dynamic output feedback H∞ control design problem for continuous-time nonlinear systems via T-S fuzzy model. The stability of the fuzzy closed-loop system which is formed by a T-S fuzzy model and a fuzzy dynamic output feedback H∞ controller connected in a closed loop is investigated with Lyapunov stability theory. The proposed fuzzy controller does not share the same membership functions and number of rules with T-S fuzzy systems, which can enhance design flexibility. A line-integral fuzzy Lyapunov function is utilized to derive the stability conditions in the form of linear matrix inequalities (LMIs). The boundary information of membership functions is considered in the stability analysis to reduce the conservativeness of the imperfect premise matching design technique. Two simulation examples are provided to demonstrate the effectiveness of the proposed approach. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  1. Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees

    Science.gov (United States)

    Alshehri, N. O.

    2014-01-01

    Connectivity has an important role in neural networks, computer network, and clustering. In the design of a network, it is important to analyze connections by the levels. The structural properties of intuitionistic fuzzy graphs provide a tool that allows for the solution of operations research problems. In this paper, we introduce various types of intuitionistic fuzzy bridges, intuitionistic fuzzy cut vertices, intuitionistic fuzzy cycles, and intuitionistic fuzzy trees in intuitionistic fuzzy graphs and investigate some of their interesting properties. Most of these various types are defined in terms of levels. We also describe comparison of these types. PMID:24701155

  2. A METHODOLOGY TO INTEGRATE MAGNETIC RESONANCE AND ACOUSTIC MEASUREMENTS FOR RESERVOIR CHARACTERIZATION

    Energy Technology Data Exchange (ETDEWEB)

    Jorge O. Parra; Chris L. Hackert; Lorna L. Wilson

    2002-09-20

    The work reported herein represents the third year of development efforts on a methodology to interpret magnetic resonance and acoustic measurements for reservoir characterization. In this last phase of the project we characterize a vuggy carbonate aquifer in the Hillsboro Basin, Palm Beach County, South Florida, using two data sets--the first generated by velocity tomography and the second generated by reflection tomography. First, we integrate optical macroscopic (OM), scanning electron microscope (SEM) and x-ray computed tomography (CT) images, as well as petrography, as a first step in characterizing the aquifer pore system. This pore scale integration provides information with which to evaluate nuclear magnetic resonance (NMR) well log signatures for NMR well log calibration, interpret ultrasonic data, and characterize flow units at the field scale between two wells in the aquifer. Saturated and desaturated NMR core measurements estimate the irreducible water in the rock and the variable T{sub 2} cut-offs for the NMR well log calibration. These measurements establish empirical equations to extract permeability from NMR well logs. Velocity and NMR-derived permeability and porosity relationships integrated with velocity tomography (based on crosswell seismic measurements recorded between two wells 100 m apart) capture two flow units that are supported with pore scale integration results. Next, we establish a more detailed picture of the complex aquifer pore structures and the critical role they play in water movement, which aids in our ability to characterize not only carbonate aquifers, but reservoirs in general. We analyze petrography and cores to reveal relationships between the rock physical properties that control the compressional and shear wave velocities of the formation. A digital thin section analysis provides the pore size distributions of the rock matrix, which allows us to relate pore structure to permeability and to characterize flow units at the

  3. Filling the gap between geophysics and geotechnics in landslide process understanding: a data fusion methodology to integrate multi-source information in hydro-mechanical modeling

    Science.gov (United States)

    Bernadie, S.; Gance, J.; Grandjean, G.; Malet, J.

    2013-12-01

    The population increase and the rising issue of climate change impact the long term stability of mountain slopes. So far, it is not yet possible to assess in all cases conditions for failure, reactivation or rapid surges of slopes. The main reason identified by Van Asch et al. (2007) is the excessive conceptualization of the slope in the models. Therefore to improve our forecasting capability, considering local information such as the local slope geometry, the soil material variability, hydrological processes and the presence of fissures are of first importance. Geophysical imaging, combined with geotechnical tests, is an adapted tool to obtain such detailed information. The development of near-surface geophysics in the last three decades encourages the use of multiple geophysical methods for slope investigations. However, fusion of real data is little used in this domain and a gap still exists between the data processed by the geophysicists and the slope hydro-mechanical models developed by the geotechnical engineers. Starting from this statement, we propose a methodological flowchart of multi-source geophysical and geotechnical data integration to construct a slope hydro-mechanical model of a selected profile at the Super-Sauze landslide. Based on data fusion concepts, the methodology aims at integrating various data in order to create a geological and a geotechnical model of the slope profile. The input data consist in seismic and geoelectrical tomographies (that give access to a spatially distributed information on the soil physical state) supplemented by punctual geotechnical tests (dynamic penetration tests). The tomograms and the geotechnical tests are combined into a unique interpreted model characterized by different geotechnical domains. We use the fuzzy logic clustering method in order to take into account the uncertainty coming from each input data. Then an unstructured finite element mesh, adapted to the resolution of the different input data and

  4. Efficient modeling of vector hysteresis using fuzzy inference systems

    Energy Technology Data Exchange (ETDEWEB)

    Adly, A.A. [Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12211 (Egypt)], E-mail: adlyamr@gmail.com; Abd-El-Hafiz, S.K. [Engineering Mathematics Department, Faculty of Engineering, Cairo University, Giza 12211 (Egypt)], E-mail: sabdelhafiz@gmail.com

    2008-10-01

    Vector hysteresis models have always been regarded as important tools to determine which multi-dimensional magnetic field-media interactions may be predicted. In the past, considerable efforts have been focused on mathematical modeling methodologies of vector hysteresis. This paper presents an efficient approach based upon fuzzy inference systems for modeling vector hysteresis. Computational efficiency of the proposed approach stems from the fact that the basic non-local memory Preisach-type hysteresis model is approximated by a local memory model. The proposed computational low-cost methodology can be easily integrated in field calculation packages involving massive multi-dimensional discretizations. Details of the modeling methodology and its experimental testing are presented.

  5. Fuzzy stability and synchronization of hyperchaos systems

    Energy Technology Data Exchange (ETDEWEB)

    Wang Junwei [School of Mathematics and Computational Science, Zhongshan University Guangzhou 510275 (China)], E-mail: wangjunweilj@yahoo.com.cn; Xiong Xiaohua [School of Mathematics and Computational Science, Zhongshan University Guangzhou 510275 (China); Department of Computer Science, Jiangxi Normal University, Nanchang 330027 (China); Zhao Meichun [School of Mathematics and Computational Science, Zhongshan University Guangzhou 510275 (China); Department of Mathematics, Guangdong University of Finance, Gunangzhou 510521 (China); Zhang Yanbin [School of Mathematics and Computational Science, Zhongshan University Guangzhou 510275 (China)

    2008-03-15

    This paper studies stability and synchronization of hyperchaos systems via a fuzzy-model-based control design methodology. First, we utilize a Takagi-Sugeno fuzzy model to represent a hyperchaos system. Second, we design fuzzy-model-based controllers for stability and synchronization of the system, based on so-called 'parallel distributed compensation (PDC)'. Third, we reduce a question of stabilizing and synchronizing hyperchaos systems to linear matrix inequalities (LMI) so that convex programming techniques can solve these LMIs efficiently. Finally, the generalized Lorenz hyperchaos system is employed to illustrate the effectiveness of our designing controller.

  6. Evaluation of Yield Maps Using Fuzzy Indicators

    Science.gov (United States)

    This paper presents a new methodology for the evaluation of yield maps using fuzzy indicators, which takes into account atypical phenomena and expert opinions regarding the maps. This methodology could allow for improved methods for deciding boundary locations for precision application of production...

  7. An Updated Methodology for Enhancing Risk Monitors with Integrated Equipment Condition Assessment

    Energy Technology Data Exchange (ETDEWEB)

    Ramuhalli, Pradeep [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hirt, Evelyn H. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Coles, Garill A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Bonebrake, Christopher A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Ivans, William J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Wootan, David W. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Mitchell, Mark R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2014-07-18

    Small modular reactors (SMRs) generally include reactors with electric output of ~350 MWe or less (this cutoff varies somewhat but is substantially less than full-size plant output of 700 MWe or more). Advanced SMRs (AdvSMRs) refer to a specific class of SMRs and are based on modularization of advanced reactor concepts. Enhancing affordability of AdvSMRs will be critical to ensuring wider deployment, as AdvSMRs suffer from loss of economies of scale inherent in small reactors when compared to large (~greater than 600 MWe output) reactors and the controllable day-to-day costs of AdvSMRs will be dominated by operation and maintenance (O&M) costs. Technologies that help characterize real-time risk are important for controlling O&M costs. Risk monitors are used in current nuclear power plants to provide a point-in-time estimate of the system risk given the current plant configuration (e.g., equipment availability, operational regime, and environmental conditions). However, current risk monitors are unable to support the capability requirements listed above as they do not take into account plant-specific normal, abnormal, and deteriorating states of active components and systems. This report documents technology developments towards enhancing risk monitors that, if integrated with supervisory plant control systems, can provide the capability requirements listed and meet the goals of controlling O&M costs. The report describes research results on augmenting an initial methodology for enhanced risk monitors that integrate real-time information about equipment condition and POF into risk monitors. Methods to propagate uncertainty through the enhanced risk monitor are evaluated. Available data to quantify the level of uncertainty and the POF of key components are examined for their relevance, and a status update of this data evaluation is described. Finally, we describe potential targets for developing new risk metrics that may be useful for studying trade-offs for economic

  8. A methodological framework for hydromorphological assessment, analysis and monitoring (IDRAIM) aimed at promoting integrated river management

    Science.gov (United States)

    Rinaldi, M.; Surian, N.; Comiti, F.; Bussettini, M.

    2015-12-01

    A methodological framework for hydromorphological assessment, analysis and monitoring (named IDRAIM) has been developed with the specific aim of supporting the management of river processes by integrating the objectives of ecological quality and flood risk mitigation. The framework builds on existing and up-to-date geomorphological concepts and approaches and has been tested on several Italian streams. The framework includes the following four phases: (1) catchment-wide characterization of the fluvial system; (2) evolutionary trajectory reconstruction and assessment of current river conditions; (3) description of future trends of channel evolution; and (4) identification of management options. The framework provides specific consideration of the temporal context, in terms of reconstructing the trajectory of past channel evolution as a basis for interpreting present river conditions and future trends. A series of specific tools has been developed for the assessment of river conditions, in terms of morphological quality and channel dynamics. These include: the Morphological Quality Index (MQI), the Morphological Dynamics Index (MDI), the Event Dynamics Classification (EDC), and the river morphodynamic corridors (MC and EMC). The monitoring of morphological parameters and indicators, alongside the assessment of future scenarios of channel evolution provides knowledge for the identification, planning and prioritization of actions for enhancing morphological quality and risk mitigation.

  9. An integrated methodology for assessment and selection of the project risk response actions.

    Science.gov (United States)

    Seyedhoseini, Seyed Mohammad; Noori, Siamak; Hatefi, Mohammad Ali

    2009-05-01

    In a systematic process of project risk management, after risk assessment is implemented, the risk analysts encounter the phase of assessment and selection of the project risk response actions (RA). As indicated by many researchers, there are less systematic and well-developed solutions in the area of risk response assessment and selection. The present article introduces a methodology including a modeling approach with the objective of selecting a set of RA that minimizes the undesirable deviation from achieving the project scope. The developed objective function comprises the three key success criteria of a project, namely, time, quality, and cost. Our model integrates overall project management into the project risk response planning (P2RP). Furthermore, the proposed model stresses on an equivalent importance for both "risk" and "response." We believe that applying the proposed model helps the project risk analyst in most effective and efficient manner dealing with his or her complicated RA selection problems. The application of the proposed model was implemented in projects in the construction industry in which it showed tremendous time, cost, and quality improvements.

  10. Stratigraphic and geophysical integrated methodologies for the interpretation of sulphur water formational environment in Salento (Italy)

    Energy Technology Data Exchange (ETDEWEB)

    Margiotta, S.; Negri, S. [Dipartimento di Scienze dei Materiali-Osservatorio di Fisica, Chimica, Geologia Ambientali-Universita del Salento (Italy)

    2008-06-13

    The Salento coal deposits (south-eastern Italy) are unutilized because these deposits are thin and nearly uneconomic but they have a high scientific and economic value due to their high organic sulphur content. The studied area is located in the western Salento peninsula where wells used by a fish-farm (''Ittica Ugento'') have shown high concentrations of hydrogen sulphide. Data from surface and boreholes stratigraphic surveys integrated with electrical resistivity tomography (ERT) allow us to define the structure, depths and geometry of the aquifer and its relationship with saltwater intrusion. Induced polarization (IP) with pole-dipole array survey has been carried out near the coastline. The value measured was over 50 msec. A direct relationship is shown to exist between IP values and the aquifer containing sulphur water. The high resolution of the data obtained with the applied methods not only shows the validity of the methodology but is the key to evaluating the groundwater resources of the area. The proposed mechanism is that of entrapment of sulphur water in a graben structure: when sulphate-enriched waters of marine origin come into contact with organic substances and lignite deposits (Galatone Formation, Oligocene), they are deprived not only of free oxygen, but also generate hydrogen sulphide as a result of the reduction of sulphates. (author)

  11. An integrated methodology on the suitability of offshore sites for wind farm development

    Science.gov (United States)

    Patlakas, Platon; Galanis, George; Péray, Marie; Filipot, Jean-François; Kalogeri, Christina; Spyrou, Christos; Diamantis, Dimitris; Kallos, Gerorge

    2016-04-01

    During, the last decades the potential and interest in wind energy investments has been constantly increasing in the European countries. As technology changes rapidly, more and more areas can be identified as suitable for energy applications. Offshore wind farms perfectly illustrate how new technologies allow to build bigger, more efficient and resistant in extreme conditions wind power plants. The current work proposes an integrated methodology to determine the suitability of an offshore marine area for the development of wind farm structures. More specifically, the region of interest is evaluated based both on the natural resources, connected to the local environmental characteristics, and potential constrains set by anthropogenic or other activities. State of the art atmospheric and wave models and a 10-year hindcast database are utilized in conjunction with local information for a number of potential constrains, leading to a 5-scale suitability index for the whole area. In this way, sub regions are characterized, at a high resolution mode, as poorly or highly suitable for wind farm development, providing a new tool for technical/research teams and decision makers. In addition, extreme wind and wave conditions and their 50-years return period are analyzed and used to define the safety level of the wind farms structural characteristics.

  12. Methodological integrative review of the work sampling technique used in nursing workload research.

    Science.gov (United States)

    Blay, Nicole; Duffield, Christine M; Gallagher, Robyn; Roche, Michael

    2014-11-01

    To critically review the work sampling technique used in nursing workload research. Work sampling is a technique frequently used by researchers and managers to explore and measure nursing activities. However, work sampling methods used are diverse making comparisons of results between studies difficult. Methodological integrative review. Four electronic databases were systematically searched for peer-reviewed articles published between 2002-2012. Manual scanning of reference lists and Rich Site Summary feeds from contemporary nursing journals were other sources of data. Articles published in the English language between 2002-2012 reporting on research which used work sampling to examine nursing workload. Eighteen articles were reviewed. The review identified that the work sampling technique lacks a standardized approach, which may have an impact on the sharing or comparison of results. Specific areas needing a shared understanding included the training of observers and subjects who self-report, standardization of the techniques used to assess observer inter-rater reliability, sampling methods and reporting of outcomes. Work sampling is a technique that can be used to explore the many facets of nursing work. Standardized reporting measures would enable greater comparison between studies and contribute to knowledge more effectively. Author suggestions for the reporting of results may act as guidelines for researchers considering work sampling as a research method. © 2014 John Wiley & Sons Ltd.

  13. Application of Decomposition Methodology to Solve Integrated Process Design and Controller Design Problems for Reactor-Separator-Recycle System

    DEFF Research Database (Denmark)

    Abd.Hamid, Mohd-Kamaruddin; Sin, Gürkan; Gani, Rafiqul

    2010-01-01

    This paper presents the integrated process design and controller design (IPDC) for a reactor-separator-recycle (RSR) system and evaluates a decomposition methodology to solve the IPDC problem. Accordingly, the IPDC problem is solved by decomposing it into four hierarchical stages: (i) pre-analysi...... to the solution of IPDC problems for RSR systems.......This paper presents the integrated process design and controller design (IPDC) for a reactor-separator-recycle (RSR) system and evaluates a decomposition methodology to solve the IPDC problem. Accordingly, the IPDC problem is solved by decomposing it into four hierarchical stages: (i) pre...... the design of a RSR system involving consecutive reactions, A B -> C and shown to provide effective solutions that satisfy design, control and cost criteria. The advantage of the proposed methodology is that it is systematic, makes use of thermodynamic-process knowledge and provides valuable insights...

  14. [The scientific discourse about dementia in Germany-first results of the exemplary exercise of an integrative methodological approach].

    Science.gov (United States)

    Panke-Kochinke, Birgit; Krause, Gabriele; Klimann, Olga

    2015-08-01

    The analysis of the discourse in dealing with people with dementia within the nursing and healthcare research in Germany is previously missing.Aim: How are people with dementia described in the discourse of the German nursing and health care research community and what does that mean for the nursing and health research in Germany? Using an integrative methodological approach, the first steps of an analysis of dementia discourse are developed and exemplarily tested in a selected limited context datjramework. The scientific discourse is focused on the burden or the family aregivers of the person with dementia.They are identified as those who have to handle the burden with their spouse or siblings with dementia. A methodologiCal approach of integrative analysis was tested. According perspectives should be developed to incorporate the perspective of people with dementia in a stronger way.

  15. Reflective Pedagogy: The Integration of Methodology and Subject-Matter Content in a Graduate-Level Course

    Science.gov (United States)

    Jakeman, Rick C.; Henderson, Markesha M.; Howard, Lionel C.

    2017-01-01

    This article presents a critical reflection on how we, instructors of a graduate-level course in higher education administration, sought to integrate theoretical and subject-matter content and research methodology. Our reflection, guided by autoethnography and teacher reflection, challenged both our assumptions about curriculum design and our…

  16. Optimization of a High Temperature PEMFC micro-CHP System by Formulation and Application of a Process Integration Methodology

    DEFF Research Database (Denmark)

    Arsalis, Alexandros; Nielsen, Mads Pagh; Kær, Søren Knudsen

    2013-01-01

    A 1 kWe micro combined heat and power (CHP) system based on high temperature proton exchange membrane fuel cell (PEMFC) technology is modeled and optimized by formulation and application of a process integration methodology. The system can provide heat and electricity for a singlefamily household...

  17. Reflective Pedagogy: The Integration of Methodology and Subject-Matter Content in a Graduate-Level Course

    Science.gov (United States)

    Jakeman, Rick C.; Henderson, Markesha M.; Howard, Lionel C.

    2017-01-01

    This article presents a critical reflection on how we, instructors of a graduate-level course in higher education administration, sought to integrate theoretical and subject-matter content and research methodology. Our reflection, guided by autoethnography and teacher reflection, challenged both our assumptions about curriculum design and our…

  18. Fuzzy production planning models for an unreliable production system with fuzzy production rate and stochastic/fuzzy demand rate

    Directory of Open Access Journals (Sweden)

    K. A. Halim

    2011-01-01

    Full Text Available In this article, we consider a single-unit unreliable production system which produces a single item. During a production run, the production process may shift from the in-control state to the out-of-control state at any random time when it produces some defective items. The defective item production rate is assumed to be imprecise and is characterized by a trapezoidal fuzzy number. The production rate is proportional to the demand rate where the proportionality constant is taken to be a fuzzy number. Two production planning models are developed on the basis of fuzzy and stochastic demand patterns. The expected cost per unit time in the fuzzy sense is derived in each model and defuzzified by using the graded mean integration representation method. Numerical examples are provided to illustrate the optimal results of the proposed fuzzy models.

  19. Parallel Fuzzy P+Fuzzy I+Fuzzy D Controller:Design and Performance Evaluation

    Institute of Scientific and Technical Information of China (English)

    Vineet Kumar; A.P.Mittal

    2010-01-01

    In this paper,a parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller is proposed.It is derived from the conventional parallel proportional-integral-derivative (PID) controller.It preserves the linear structure of a conventional parallel PID controller,with analytical formulas.The final shape of the controller is a discrete-time fuzzy version of a conventional parallel PID controller.Computer simulations are performed to evaluate the performance of the FP+FI+FD controller for setpoint tracking and load-disturbance rejection for some complex processes,such as first-and second-order processes with delay,inverse response process with and without delay and higher order processes.Also,the performance of the proposed fuzzy controller is evaluated experimentally on highly nonlinear liquid-flow process with a hysteresis characteristic due to a pneumatic control valve.The simulation and real time control is done using National InstrumentTM hardware and software (LabVIEWTM).The response of the FP+FI+FD controller is compared with the conventional parallel PID controller,tuned with the Ziegler-Nichols (Z-H) and (A)str(o)mH(a)gglund (A-H) tuning technique.It is observed that the FP+FI+FD controller performed much better than the conventional PI/PID controller.Simulation and experimental results demonstrate the effectiveness of the proposed parallel FP+FI+FD controller.

  20. Integrating GIS with AHP and Fuzzy Logic to generate hand, foot and mouth disease hazard zonation (HFMD-HZ) model in Thailand

    Science.gov (United States)

    Samphutthanon, R.; Tripathi, N. K.; Ninsawat, S.; Duboz, R.

    2014-12-01

    The main objective of this research was the development of an HFMD hazard zonation (HFMD-HZ) model by applying AHP and Fuzzy Logic AHP methodologies for weighting each spatial factor such as disease incidence, socio-economic and physical factors. The outputs of AHP and FAHP were input into a Geographic Information Systems (GIS) process for spatial analysis. 14 criteria were selected for analysis as important factors: disease incidence over 10 years from 2003 to 2012, population density, road density, land use and physical features. The results showed a consistency ratio (CR) value for these main criteria of 0.075427 for AHP, the CR for FAHP results was 0.092436. As both remained below the threshold of 0.1, the CR value were acceptable. After linking to actual geospatial data (disease incidence 2013) through spatial analysis by GIS for validation, the results of the FAHP approach were found to match more accurately than those of the AHP approach. The zones with the highest hazard of HFMD outbreaks were located in two main areas in central Muang Chiang Mai district including suburbs and Muang Chiang Rai district including the vicinity. The produced hazardous maps may be useful for organizing HFMD protection plans.

  1. Design Intelligent PID like Fuzzy Sliding Mode Controller for Spherical Motor

    Directory of Open Access Journals (Sweden)

    Farzin Matin

    2014-04-01

    Full Text Available The minimum rule base Proportional Integral Derivative (PID Fuzzy Sliding Mode Controller (SMC with application to spherical motor is presented in this research. The popularity of PID Fuzzy Sliding Mode Controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy Sliding Mode Controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing especially in nonlinear and uncertain systems. Proportional Integral Derivative methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions, we will need 343 rules. It is too much work to write 343 rules and have lots of problem to design embedded control system e.g., Field Programmable Gate Array (FPGA. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a conventional PI controller to have the minimum rule base and good trajectory follow disturbance to control of spherical motor. However Sliding Mode Controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters for each direction of three degree of freedom spherical motor, this controller is work based on motor dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear spherical motor’s dynamic equation which caused to challenge in uncertain system. This research is used to reduce or eliminate the Sliding Mode Controller problem based on minimum rule base fuzzy logic theory to control of three degrees of freedom spherical motor system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  2. Fuzzy Economic Order Quantity Inventory Models Without Backordering

    Institute of Scientific and Technical Information of China (English)

    WANG Xiaobin; TANG Wansheng; ZHAO Ruiqing

    2007-01-01

    In economic order quantity models without backordering, both the stock cost of each unit quantity and the order cost of each cycle are characterized as independent fuzzy variables rather than fuzzy numbers as in previous studies. Based on an expected value criterion or a credibility criterion, a fuzzy expected value model and a fuzzy dependent hance programming (DCP) model are constructed. The purpose of the fuzzy expected value model is to find the optimal order quantity such that the fuzzy expected value of the total cost is minimal. The fuzzy DCP model is used to find the optimal order quantity for maximizing the credibility of an event such that the total cost in the planning periods does not exceed a certain budget level.Fuzzy simulations are designed to calculate the expected value of the fuzzy objective function and the credibility of each fuzzy event. A particle swarm optimization (PSO) algorithm based on a fuzzy simulation is designed, by integrating the fuzzy simulation and the PSO algorithm. Finally, a numerical example is given to illustrate the feasibility and validity of the proposed algorithm.

  3. Robust Visual Tracking via Fuzzy Kernel Representation

    Directory of Open Access Journals (Sweden)

    Zhiqiang Wen

    2013-05-01

    Full Text Available A robust visual kernel tracking approach is presented for solving the problem of existing background pixels in object model. At first, after definition of fuzzy set on image is given, a fuzzy factor is embedded into object model to form the fuzzy kernel representation. Secondly, a fuzzy membership functions are generated by center-surround approach and log likelihood ratio of feature distributions. Thirdly, details about fuzzy kernel tracking algorithm is provided. After that, methods of parameter selection and performance evaluation for tracking algorithm are proposed. At last, a mass of experimental results are done to show our method can reduce the influence of the incomplete representation of object model via integrating both color features and background features.

  4. Some Additions to the Fuzzy Convergent and Fuzzy Bounded Sequence Spaces of Fuzzy Numbers

    OpenAIRE

    Şengönül, M.; Z. Zararsız

    2011-01-01

    Some properties of the fuzzy convergence and fuzzy boundedness of a sequence of fuzzy numbers were studied in Choi (1996). In this paper, we have consider, some important problems on these spaces and shown that these spaces are fuzzy complete module spaces. Also, the fuzzy α-, fuzzy β-, and fuzzy γ-duals of the fuzzy module spaces of fuzzy numbers have been computeded, and some matrix transformations are given.

  5. Introduction to fuzzy systems

    CERN Document Server

    Chen, Guanrong

    2005-01-01

    Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on th

  6. Desarrollo de un esquema de la integral definida en estudiantes de ingenierias relacionadas con las Ciencias de la Naturaleza. Un análisis a través de la lógica fuzzy.

    OpenAIRE

    Boigues Planes, Francisco José; Llinares, Salvador; Estruch, V. D.

    2010-01-01

    [EN] The purpose of this research is to characterize the development of the scheme for the integral as defi ned by earth science engineering students using fuzzy metrics in order to establish the level of development on intra, inter and trans levels (Piaget & García, 1984). The results demonstrate the diffi culty of students to link the succession of Riemann sums with their dependence on the n value of the partition, as a manifestation of the relationship between the succession of...

  7. Fuzziness in Chang's fuzzy topological spaces

    OpenAIRE

    1999-01-01

    It is known that fuzziness within the concept of openness of a fuzzy set in a Chang's fuzzy topological space (fts) is absent. In this paper we introduce a gradation of openness for the open sets of a Chang jts (X, $\\mathcal{T}$) by means of a map $\\sigma\\;:\\; I^{x}\\longrightarrow I\\left(I=\\left[0,1\\right]\\right)$, which is at the same time a fuzzy topology on X in Shostak 's sense. Then, we will be able to avoid the fuzzy point concept, and to introduce an adeguate theory f...

  8. Fuzzy logic mode switching in helicopters

    Science.gov (United States)

    Sherman, Porter D.; Warburton, Frank W.

    1993-01-01

    The application of fuzzy logic to a wide range of control problems has been gaining momentum internationally, fueled by a concentrated Japanese effort. Advanced Research & Development within the Engineering Department at Sikorsky Aircraft undertook a fuzzy logic research effort designed to evaluate how effective fuzzy logic control might be in relation to helicopter operations. The mode switching module in the advanced flight control portion of Sikorsky's motion based simulator was identified as a good candidate problem because it was simple to understand and contained imprecise (fuzzy) decision criteria. The purpose of the switching module is to aid a helicopter pilot in entering and leaving coordinated turns while in flight. The criteria that determine the transitions between modes are imprecise and depend on the varied ranges of three flight conditions (i.e., simulated parameters): Commanded Rate, Duration, and Roll Attitude. The parameters were given fuzzy ranges and used as input variables to a fuzzy rulebase containing the knowledge of mode switching. The fuzzy control program was integrated into a real time interactive helicopter simulation tool. Optimization of the heading hold and turn coordination was accomplished by interactive pilot simulation testing of the handling quality performance of the helicopter dynamic model. The fuzzy logic code satisfied all the requirements of this candidate control problem.

  9. Representation Theorems for Fuzzy Random Sets and Fuzzy Stochastic Processes

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The fuzzy static and dynamic random phenomena in an abstract separable Banach space is discussed in this paper. The representation theorems for fuzzy set-valued random sets, fuzzy random elements and fuzzy set-valued stochastic processes are obtained.

  10. Fuzzy associative memories

    Science.gov (United States)

    Kosko, Bart

    1991-01-01

    Mappings between fuzzy cubes are discussed. This level of abstraction provides a surprising and fruitful alternative to the propositional and predicate-calculas reasoning techniques used in expert systems. It allows one to reason with sets instead of propositions. Discussed here are fuzzy and neural function estimators, neural vs. fuzzy representation of structured knowledge, fuzzy vector-matrix multiplication, and fuzzy associative memory (FAM) system architecture.

  11. Fuzzy Soft Topological Groups

    Directory of Open Access Journals (Sweden)

    S. Nazmul

    2014-03-01

    Full Text Available Notions of Lowen type fuzzy soft topological space are introduced and some of their properties are established in the present paper. Besides this, a combined structure of a fuzzy soft topological space and a fuzzy soft group, which is termed here as fuzzy soft topological group is introduced. Homomorphic images and preimages are also examined. Finally, some definitions and results on fuzzy soft set are studied.

  12. Methodology and software to detect viral integration site hot-spots

    Directory of Open Access Journals (Sweden)

    Kim Namshin

    2011-09-01

    Full Text Available Abstract Background Modern gene therapy methods have limited control over where a therapeutic viral vector inserts into the host genome. Vector integration can activate local gene expression, which can cause cancer if the vector inserts near an oncogene. Viral integration hot-spots or 'common insertion sites' (CIS are scrutinized to evaluate and predict patient safety. CIS are typically defined by a minimum density of insertions (such as 2-4 within a 30-100 kb region, which unfortunately depends on the total number of observed VIS. This is problematic for comparing hot-spot distributions across data sets and patients, where the VIS numbers may vary. Results We develop two new methods for defining hot-spots that are relatively independent of data set size. Both methods operate on distributions of VIS across consecutive 1 Mb 'bins' of the genome. The first method 'z-threshold' tallies the number of VIS per bin, converts these counts to z-scores, and applies a threshold to define high density bins. The second method 'BCP' applies a Bayesian change-point model to the z-scores to define hot-spots. The novel hot-spot methods are compared with a conventional CIS method using simulated data sets and data sets from five published human studies, including the X-linked ALD (adrenoleukodystrophy, CGD (chronic granulomatous disease and SCID-X1 (X-linked severe combined immunodeficiency trials. The BCP analysis of the human X-linked ALD data for two patients separately (774 and 1627 VIS and combined (2401 VIS resulted in 5-6 hot-spots covering 0.17-0.251% of the genome and containing 5.56-7.74% of the total VIS. In comparison, the CIS analysis resulted in 12-110 hot-spots covering 0.018-0.246% of the genome and containing 5.81-22.7% of the VIS, corresponding to a greater number of hot-spots as the data set size increased. Our hot-spot methods enable one to evaluate the extent of VIS clustering, and formally compare data sets in terms of hot-spot overlap

  13. Watershed influence on fluvial ecosystems: an integrated methodology for river water quality management.

    Science.gov (United States)

    Carone, Maria T; Simoniello, Tiziana; Manfreda, Salvatore; Caricato, Gaetano

    2009-05-01

    The EU Water Framework Directive 2000/60 (Integrated River Basin Management for Europe) establishes the importance of preserving water quality through policies applied at watershed level given the strong links existing among ecological, hydrological, and hydrogeological systems. Therefore, monitoring campaigns of river water quality should be planned with multidisciplinary approaches starting from a landscape perspective. In this paper, the effects of the basin hydrology on the river water quality and, in particular, the impacts caused by the runoff production coming from agricultural areas are investigated. The fluvial segments receiving consistent amount of pollutant loads (due to the runoff routing over agricultural areas) are assumed more critical in terms of water quality and thus, they require more accurate controls. Starting from this perspective, to evaluate the runoff productions coming from agricultural areas, we applied a semi-distributed hydrological model that adopts satellite data, pedological and morphological information for the watershed description. Then, the river segments receiving critical amount of runoff loads from the surrounding cultivated areas were identified. Finally, in order to validate the approach, water quality for critical and non critical segment was investigated seasonally, by using river macroinvertebrates as indicators of water quality because of their effectiveness in preserving in time a memory of pollution events. Biomonitoring data showed that river water quality strongly decreases in correspondence of fluvial segments receiving critical amount of runoff coming from agricultural areas. The results highlight the usefulness of such a methodology to plan monitoring campaigns specifically devoted to non-point pollution sources and suggest the possibility to use this approach for water quality management and for planning river restoration policies.

  14. A METHODOLOGY TO INTEGRATE MAGNETIC RESONANCE AND ACOUSTIC MEASUREMENTS FOR RESERVOIR CHARACTERIZATION

    Energy Technology Data Exchange (ETDEWEB)

    Jorge O. Parra; Chris L. Hackert; Lorna L. Wilson

    2002-09-20

    The work reported herein represents the third year of development efforts on a methodology to interpret magnetic resonance and acoustic measurements for reservoir characterization. In this last phase of the project we characterize a vuggy carbonate aquifer in the Hillsboro Basin, Palm Beach County, South Florida, using two data sets--the first generated by velocity tomography and the second generated by reflection tomography. First, we integrate optical macroscopic (OM), scanning electron microscope (SEM) and x-ray computed tomography (CT) images, as well as petrography, as a first step in characterizing the aquifer pore system. This pore scale integration provides information with which to evaluate nuclear magnetic resonance (NMR) well log signatures for NMR well log calibration, interpret ultrasonic data, and characterize flow units at the field scale between two wells in the aquifer. Saturated and desaturated NMR core measurements estimate the irreducible water in the rock and the variable T{sub 2} cut-offs for the NMR well log calibration. These measurements establish empirical equations to extract permeability from NMR well logs. Velocity and NMR-derived permeability and porosity relationships integrated with velocity tomography (based on crosswell seismic measurements recorded between two wells 100 m apart) capture two flow units that are supported with pore scale integration results. Next, we establish a more detailed picture of the complex aquifer pore structures and the critical role they play in water movement, which aids in our ability to characterize not only carbonate aquifers, but reservoirs in general. We analyze petrography and cores to reveal relationships between the rock physical properties that control the compressional and shear wave velocities of the formation. A digital thin section analysis provides the pore size distributions of the rock matrix, which allows us to relate pore structure to permeability and to characterize flow units at the

  15. Integration fuzzy analytic network process (ANP) and SWOT business strategy for the development of small and medium enterprises (SME)

    Science.gov (United States)

    Khotimah, Bain Khusnul; Irhamni, Firli; Kustiyahningsih, Yenny

    2017-08-01

    Business competition is one risk factor for Small and Medium Enterprises (SME) to set up good management in handling the risk of loss. This proposed research will look for criteria that influence the occurrence of damages based on data from by Cooperative and SME on Batik Madura. Method approach which used Fuzzy Analytic Network Process (FANP) as the weight of interest in decision support systems. Factor analysis of the level losses will influence the performance in the business sector. SWOT analysis combined with FANP method to determine the most appropriate development strategy to be applied industry. From the results of SWOT analysis and FANP, it was found the strategy of the best development to apply business strategy. The raw materials and human resources are available to increase the production capacity of the test results of SWOT analysis SME on Batik Madura. The result measurement of SME are always favourable the position, because the value is well resulted production and the amount is stable revenue which caused SME are in the first quadrant, so the power can exist take advantage of business opportunities. While the trial results of SWOT analysis on SME on Batik Madura in January and March are quadrant of second quadrant because of the number of defective products is quite produced, causing SME are under threat. But although SME suffer threats, SME still have strength on the amount of production and timely delivery.

  16. An integrated approach to analyze strategy map using BSC – FUZZY AHP: A case study of auto industry

    Directory of Open Access Journals (Sweden)

    Mohammad Abdolshah

    2012-04-01

    Full Text Available In an environment, which is highly competitive and everything changes rapidly, managers of organizations face with problems such as how to identify important factors preventing organizations from optimum use of available resources and capacities and invest more on key factors. To achieve this goal, we need to develop an effective strategy map for organizations. The strategy map is a constructional and expanding procedure to identify relationships among all the organization's strategic goals, which play a key role in achieving competitive advantage. Undoubtedly, representing a model to identify and to evaluate the important items for each of available goals in strategy map of each organization is a significant help for management to access higher competition benefits. In this paper, strategic objectives in the strategy map of one of the best producer of electric auto part makers in Iran called Electric Vehicle Co. East are evaluated based on balanced score card perspective and to assign appropriate values to available factors we use a hybrid method consist of AHP technique with Fuzzy logic.

  17. 基于模糊状态观测器的核反应堆功率T-S 模糊积分控制系统%T-S Fuzzy Integral Control System of Nuclear Reactor Power Based on Fuzzy State Observer

    Institute of Scientific and Technical Information of China (English)

    韩文伟; 栾秀春; 杨爱民; 周杰

    2013-01-01

    为提高核反应堆运行的负荷跟随能力,设计了基于T-S模糊模型的包含模糊状态观测器的积分控制系统。该方法将非线性的点堆动力学方程在一些选定工况点进行线性化,采用并行分布补偿(PDC )方法,设计模糊积分控制器和模糊状态观测器,以相对于额定功率平衡状态的相对中子密度为前件变量,构造T-S模糊控制系统。引入模糊状态观测器,成功解决了部分状态变量不能测量的困难。使用线性矩阵不等式(LM I)方法进行稳定性分析,保证了此控制系统的大范围稳定性。仿真结果验证了这种控制系统能在大范围运行工况下工作良好。%An integral control system with fuzzy state observer based on Takagi-Sugeno (T-S) fuzzy model was designed in order to improve the load-following capability of nuclear reactor .Linear models were derived from the original nonlinear point reactor kinetics equations on several operating points . The fuzzy integral controller and the fuzzy state observer were designed by using the parallel distributed compensation (PDC) technique ,and the T-S fuzzy control system was constructed with the relative neutron density referenced to the equilibrium condition of rated power as the premise variable . The problem that part of state variables can not be measured was successfully solved by introducing fuzzy state observer .The stability analysis was given by means of linear matrix inequality (LMI) approach ,and the control system was guaranteed to be stable within the large range . The simulation results demonstrate that the control system works well over a wide region of operation .

  18. Proposition of a modeling and an analysis methodology of integrated reverse logistics chain in the direct chain

    Directory of Open Access Journals (Sweden)

    Faycal Mimouni

    2016-04-01

    Full Text Available Purpose: Propose a modeling and analysis methodology based on the combination of Bayesian networks and Petri networks of the reverse logistics integrated the direct supply chain. Design/methodology/approach: Network modeling by combining Petri and Bayesian network. Findings: Modeling with Bayesian network complimented with Petri network to break the cycle problem in the Bayesian network. Research limitations/implications: Demands are independent from returns. Practical implications: Model can only be used on nonperishable products. Social implications: Legislation aspects: Recycling laws; Protection of environment; Client satisfaction via after sale service. Originality/value: Bayesian network with a cycle combined with the Petri Network.

  19. Application of Decomposition Methodology to Solve Integrated Process Design and Controller Design Problems for Reactor-Separator-Recycle System

    DEFF Research Database (Denmark)

    Abd.Hamid, Mohd-Kamaruddin; Sin, Gürkan; Gani, Rafiqul

    2010-01-01

    This paper presents the integrated process design and controller design (IPDC) for a reactor-separator-recycle (RSR) system and evaluates a decomposition methodology to solve the IPDC problem. Accordingly, the IPDC problem is solved by decomposing it into four hierarchical stages: (i) pre...... the design of a RSR system involving consecutive reactions, A B -> C and shown to provide effective solutions that satisfy design, control and cost criteria. The advantage of the proposed methodology is that it is systematic, makes use of thermodynamic-process knowledge and provides valuable insights...

  20. Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA

    Science.gov (United States)

    Tahriri, Farzad; Dawal, Siti Zawiah Md; Taha, Zahari

    2014-01-01

    A new multiobjective dynamic fuzzy genetic algorithm is applied to solve a fuzzy mixed-model assembly line sequencing problem in which the primary goals are to minimize the total make-span and minimize the setup number simultaneously. Trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data. An improved genetic algorithm called fuzzy adaptive genetic algorithm (FAGA) is proposed in order to solve this optimization model. In establishing the FAGA, five dynamic fuzzy parameter controllers are devised in which fuzzy expert experience controller (FEEC) is integrated with automatic learning dynamic fuzzy controller (ALDFC) technique. The enhanced algorithm dynamically adjusts the population size, number of generations, tournament candidate, crossover rate, and mutation rate compared with using fixed control parameters. The main idea is to improve the performance and effectiveness of existing GAs by dynamic adjustment and control of the five parameters. Verification and validation of the dynamic fuzzy GA are carried out by developing test-beds and testing using a multiobjective fuzzy mixed production assembly line sequencing optimization problem. The simulation results highlight that the performance and efficacy of the proposed novel optimization algorithm are more efficient than the performance of the standard genetic algorithm in mixed assembly line sequencing model. PMID:24982962

  1. An integrated impact assessment and weighting methodology: evaluation of the environmental consequences of computer display technology substitution.

    Science.gov (United States)

    Zhou, Xiaoying; Schoenung, Julie M

    2007-04-01

    Computer display technology is currently in a state of transition, as the traditional technology of cathode ray tubes is being replaced by liquid crystal display flat-panel technology. Technology substitution and process innovation require the evaluation of the trade-offs among environmental impact, cost, and engineering performance attributes. General impact assessment methodologies, decision analysis and management tools, and optimization methods commonly used in engineering cannot efficiently address the issues needed for such evaluation. The conventional Life Cycle Assessment (LCA) process often generates results that can be subject to multiple interpretations, although the advantages of the LCA concept and framework obtain wide recognition. In the present work, the LCA concept is integrated with Quality Function Deployment (QFD), a popular industrial quality management tool, which is used as the framework for the development of our integrated model. The problem of weighting is addressed by using pairwise comparison of stakeholder preferences. Thus, this paper presents a new integrated analytical approach, Integrated Industrial Ecology Function Deployment (I2-EFD), to assess the environmental behavior of alternative technologies in correlation with their performance and economic characteristics. Computer display technology is used as the case study to further develop our methodology through the modification and integration of various quality management tools (e.g., process mapping, prioritization matrix) and statistical methods (e.g., multi-attribute analysis, cluster analysis). Life cycle thinking provides the foundation for our methodology, as we utilize a published LCA report, which stopped at the characterization step, as our starting point. Further, we evaluate the validity and feasibility of our methodology by considering uncertainty and conducting sensitivity analysis.

  2. A novel computational approach to approximate fuzzy interpolation polynomials.

    Science.gov (United States)

    Jafarian, Ahmad; Jafari, Raheleh; Mohamed Al Qurashi, Maysaa; Baleanu, Dumitru

    2016-01-01

    This paper build a structure of fuzzy neural network, which is well sufficient to gain a fuzzy interpolation polynomial of the form [Formula: see text] where [Formula: see text] is crisp number (for [Formula: see text], which interpolates the fuzzy data [Formula: see text]. Thus, a gradient descent algorithm is constructed to train the neural network in such a way that the unknown coefficients of fuzzy polynomial are estimated by the neural network. The numeral experimentations portray that the present interpolation methodology is reliable and efficient.

  3. Design of supply chain in fuzzy environment

    Science.gov (United States)

    Rao, Kandukuri Narayana; Subbaiah, Kambagowni Venkata; Singh, Ganja Veera Pratap

    2013-05-01

    Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are moving from decoupled decision processes towards more integrated design and control of their components to achieve the strategic fit. In this paper, a new approach is developed to design a multi-echelon, multi-facility, and multi-product supply chain in fuzzy environment. In fuzzy environment, mixed integer programming problem is formulated through fuzzy goal programming in strategic level with supply chain cost and volume flexibility as fuzzy goals. These fuzzy goals are aggregated using minimum operator. In tactical level, continuous review policy for controlling raw material inventories in supplier echelon and controlling finished product inventories in plant as well as distribution center echelon is considered as fuzzy goals. A non-linear programming model is formulated through fuzzy goal programming using minimum operator in the tactical level. The proposed approach is illustrated with a numerical example.

  4. Intuitionistic supra fuzzy topological spaces

    Energy Technology Data Exchange (ETDEWEB)

    Abbas, S.E. E-mail: sabbas73@yahoo.com

    2004-09-01

    In this paper, We introduce an intuitionistic supra fuzzy closure space and investigate the relationship between intuitionistic supra fuzzy topological spaces and intuitionistic supra fuzzy closure spaces. Moreover, we can obtain intuitionistic supra fuzzy topological space induced by an intuitionistic fuzzy bitopological space. We study the relationship between intuitionistic supra fuzzy closure space and the intuitionistic supra fuzzy topological space induced by an intuitionistic fuzzy bitopological space.

  5. Signal trend identification with fuzzy methods.

    Energy Technology Data Exchange (ETDEWEB)

    Reifman, J.; Tsoukalas, L. H.; Wang, X.; Wei, T. Y. C.

    1999-08-19

    A fuzzy-logic-based methodology for on-line signal trend identification is introduced. Although signal trend identification is complicated by the presence of noise, fuzzy logic can help capture important features of on-line signals and classify incoming power plant signals into increasing, decreasing and steady-state trend categories. In order to verify the methodology, a code named PROTREN is developed and tested using plant data. The results indicate that the code is capable of detecting transients accurately, identifying trends reliably, and not misinterpreting a steady-state signal as a transient one.

  6. Integrating environmental restoration management within DOE using an alternative identification and evaluation procedure: A methodology and a case history

    Energy Technology Data Exchange (ETDEWEB)

    Devaurs, M.; Brooks, D.; Kelly, E.; Wagner, S.; Vocke, R.

    1992-03-01

    The process of identifying and evaluating alternative corrective measures is a fundamental integrating part of Environmental Restoration (ER) activities. The process used in the Los Alamos National Laboratory (the Laboratory) ER Program is based on principles and tools from multiattribute decision analysis, a well-developed and proven method for evaluating options in decision situations involving multiple objectives, uncertainty, multiple interested stakeholders in the final decision, and the need for technical input from disparate disciplines. The process provides a methodology that has been extensively developed and reviewed over the past five decades; it provides a methodological structure for incorporating the concepts espoused in the streamlined approach as well as more specific guidelines such as data quality objectives (DQOs). The application of this methodology to the ER Program at Los Alamos is described in this paper.

  7. Quantifying biopsychosocial aspects in everyday contexts: an integrative methodological approach from the behavioral sciences

    Directory of Open Access Journals (Sweden)

    Portell M

    2015-06-01

    Full Text Available Mariona Portell,1 M Teresa Anguera,2 Antonio Hernández-Mendo,3 Gudberg K Jonsson4 1Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain; 2Department of Methodology of Behavioral Sciences, University of Barcelona, Barcelona, Spain; 3Department Social Psychology, Social Anthropology, Social Work and Social Services, University of Málaga, Málaga, Spain; 4Human Behavior Laboratory, University of Iceland, Reykjavík, Iceland Abstract: Contextual factors are crucial for evaluative research in psychology, as they provide insights into what works, for whom, in what circumstances, in what respects, and why. Studying behavior in context, however, poses numerous methodological challenges. Although a comprehensive framework for classifying methods seeking to quantify biopsychosocial aspects in everyday contexts was recently proposed, this framework does not contemplate contributions from observational methodology. The aim of this paper is to justify and propose a more general framework that includes observational methodology approaches. Our analysis is rooted in two general concepts: ecological validity and methodological complementarity. We performed a narrative review of the literature on research methods and techniques for studying daily life and describe their shared properties and requirements (collection of data in real time, on repeated occasions, and in natural settings and classification criteria (eg, variables of interest and level of participant involvement in the data collection process. We provide several examples that illustrate why, despite their higher costs, studies of behavior and experience in everyday contexts offer insights that complement findings provided by other methodological approaches. We urge that observational methodology be included in classifications of research methods and techniques for studying everyday behavior and advocate a renewed

  8. An Integrated Intelligent Neuro-Fuzzy Algorithm for Long-Term Electricity Consumption: Cases of Selected EU Countries

    Directory of Open Access Journals (Sweden)

    Alireza Behrooznia

    2010-11-01

    Full Text Available This paper presents an adaptive-network-based fuzzy inference system (ANFISfor long-term natural Electric consumption prediction. Six models are proposed to forecastannual Electric demand. 104 ANFIS have been constructed and tested in order to find thebest ANFIS for Electric consumption. Two parameters have been considered in theconstruction and examination of plausible ANFIS models. The type of membership functionand the number of linguistic variables are two mentioned parameters. Six differentmembership functions are considered in building ANFIS, as follows: the built-inmembership function composed of the difference between two sigmoidal membershipfunctions (dsig, the Gaussian combination membership function (gauss2, the Gaussiancurve built-in membership function (gauss, the generalized bell-shaped built-inmembership function (gbell, the Π-shaped built-in membership function (pi, psig. Also, anumber for linguistic variables has been considered between 2 and 20. The proposedmodels consist of input variables such as: Gross Domestic Product (GDP and Population(POP. Six distinct models based on different inputs are defined. All of the trained ANFISare then compared with respect to the mean absolute percentage error (MAPE. To meetthe best performance of the intelligent based approaches, data are pre-processed (scaledand finally our outputs are post-processed (returned to its original scale. The ANFISmodel is capable of dealing with both complexity and uncertainty in the data set. To showthe applicability and superiority of the ANFIS, the actual Electric consumption inindustrialized nations including the Netherlands, Luxembourg, Ireland, and Italy from 1980to 2007 are considered. With the aid of an autoregressive model, the GDP and populationby 2015 is projected and then with yield value and best ANFIS model, Electric consumptionby 2015 is predicted.

  9. A methodology for the efficient integration of transient constraints in the design of aircraft dynamic systems

    Science.gov (United States)

    Phan, Leon L.

    The motivation behind this thesis mainly stems from previous work performed at Hispano-Suiza (Safran Group) in the context of the European research project "Power Optimised Aircraft". Extensive testing on the COPPER Bird RTM, a test rig designed to characterize aircraft electrical networks, demonstrated the relevance of transient regimes in the design and development of dynamic systems. Transient regimes experienced by dynamic systems may have severe impacts on the operation of the aircraft. For example, the switching on of a high electrical load might cause a network voltage drop inducing a loss of power available to critical aircraft systems. These transient behaviors are thus often regulated by dynamic constraints, requiring the dynamic signals to remain within bounds whose values vary with time. The verification of these peculiar types of constraints, which generally requires high-fidelity time-domain simulation, intervenes late in the system development process, thus potentially causing costly design iterations. The research objective of this thesis is to develop a methodology that integrates the verification of dynamic constraints in the early specification of dynamic systems. In order to circumvent the inefficiencies of time-domain simulation, multivariate dynamic surrogate models of the original time-domain simulation models are generated, building on a nonlinear system identification technique using wavelet neural networks (or wavenets), which allow the multiscale nature of transient signals to be captured. However, training multivariate wavenets can become computationally prohibitive as the number of design variables increases. Therefore, an alternate approach is formulated, in which dynamic surrogate models using sigmoid-based neural networks are used to emulate the transient behavior of the envelopes of the time-domain response. Thus, in order to train the neural network, the envelopes are extracted by first separating the scales of the dynamic response

  10. Portfolio selection based on fuzzy cross-entropy

    Science.gov (United States)

    Qin, Zhongfeng; Li, Xiang; Ji, Xiaoyu

    2009-06-01

    In this paper, the Kapur cross-entropy minimization model for portfolio selection problem is discussed under fuzzy environment, which minimizes the divergence of the fuzzy investment return from a priori one. First, three mathematical models are proposed by defining divergence as cross-entropy, average return as expected value and risk as variance, semivariance and chance of bad outcome, respectively. In order to solve these models under fuzzy environment, a hybrid intelligent algorithm is designed by integrating numerical integration, fuzzy simulation and genetic algorithm. Finally, several numerical examples are given to illustrate the modeling idea and the effectiveness of the proposed algorithm.

  11. Fuzzy logic in management

    CERN Document Server

    Carlsson, Christer; Fullér, Robert

    2004-01-01

    Fuzzy Logic in Management demonstrates that difficult problems and changes in the management environment can be more easily handled by bringing fuzzy logic into the practice of management. This explicit theme is developed through the book as follows: Chapter 1, "Management and Intelligent Support Technologies", is a short survey of management leadership and what can be gained from support technologies. Chapter 2, "Fuzzy Sets and Fuzzy Logic", provides a short introduction to fuzzy sets, fuzzy relations, the extension principle, fuzzy implications and linguistic variables. Chapter 3, "Group Decision Support Systems", deals with group decision making, and discusses methods for supporting the consensus reaching processes. Chapter 4, "Fuzzy Real Options for Strategic Planning", summarizes research where the fuzzy real options theory was implemented as a series of models. These models were thoroughly tested on a number of real life investments, and validated in 2001. Chapter 5, "Soft Computing Methods for Reducing...

  12. Hesitant fuzzy sets theory

    CERN Document Server

    Xu, Zeshui

    2014-01-01

    This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) chara...

  13. Reliability-Based and Cost-Oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-Based DMOPSO Using Crowding Distance Sorting

    Directory of Open Access Journals (Sweden)

    Zhaoxi Hong

    2017-08-01

    Full Text Available In reliability-based and cost-oriented product optimization, the target product reliability is apportioned to subsystems or components to achieve the maximum reliability and minimum cost. Main challenges to conducting such optimization design lie in how to simultaneously consider subsystem division, uncertain evaluation provided by experts for essential factors, and dynamic propagation of product failure. To overcome these problems, a reliability-based and cost-oriented product optimization method integrating fuzzy reasoning Petri net (FRPN, interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO using crowding distance sorting is proposed in this paper. Subsystem division is performed based on failure decoupling, and then subsystem weights are calculated with FRPN reflecting dynamic and uncertain failure propagation, as well as interval expert evaluation considering six essential factors. A mathematical model of reliability-based and cost-oriented product optimization is established, and the cultural-based DMOPSO with crowding distance sorting is utilized to obtain the optimized design scheme. The efficiency and effectiveness of the proposed method are demonstrated by the numerical example of the optimization design for a computer numerically controlled (CNC machine tool.

  14. Prototype integration of the joint munitions assessment and planning model with the OSD threat methodology

    Energy Technology Data Exchange (ETDEWEB)

    Lynn, R.Y.S.; Bolmarcich, J.J.

    1994-06-01

    The purpose of this Memorandum is to propose a prototype procedure which the Office of Munitions might employ to exercise, in a supportive joint fashion, two of its High Level Conventional Munitions Models, namely, the OSD Threat Methodology and the Joint Munitions Assessment and Planning (JMAP) model. The joint application of JMAP and the OSD Threat Methodology provides a tool to optimize munitions stockpiles. The remainder of this Memorandum comprises five parts. The first is a description of the structure and use of the OSD Threat Methodology. The second is a description of JMAP and its use. The third discusses the concept of the joint application of JMAP and OSD Threat Methodology. The fourth displays sample output of the joint application. The fifth is a summary and epilogue. Finally, three appendices contain details of the formulation, data, and computer code.

  15. Methodology for the integral comparison of nuclear reactors: selecting a reactor for Mexico; Metodologia para la comparacion integral de reactores nucleares: seleccion de un reactor para Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Reyes R, R.; Martin del Campo M, C. [UNAM, Facultad de Ingenieria, Laboratorio de Analisis de Ingenieria de Reactores Nucleares, Paseo Cuauhnahuac 8532, 62550 Jiutepec, Morelos (Mexico)]. e-mail: ricarera@yahoo.com.mx

    2006-07-01

    In this work it was built a methodology to compare nuclear reactors of third generation that can be contemplated for future electric planning in Mexico. This methodology understands the selection of the reactors to evaluate eliminating the reactors that still are not sufficiently mature at this time of the study. A general description of each reactor together with their main ones characteristic is made. It was carried out a study for to select the group of parameters that can serve as evaluation indicators, which are the characteristics of the reactors with specific values for each considered technology, and it was elaborated an evaluation matrix indicators including the reactors in the columns and those indicators in the lines. Since that none reactor is the best in all the indicators were necessary to use a methodology for multi criteria taking decisions that we are presented. It was used the 'Fuzzy Logic' technique, the which is based in those denominated diffuse groups and in a system of diffuse inference based on heuristic rules in the way 'If Then consequence> ', where the linguistic values of the condition and of the consequence is defined by diffuse groups, it is as well as the rules always they transform a diffuse group into another. Later on they combine all the diffuse outputs to create a single output and an inverse transformation is made that it transfers the output from the diffuse domain to the real one. They were carried out two studies one with the entirety of the indicators and another in which the indicators were classified in three approaches: the first one refers to indicators related with the planning of the plants inside the context of the general electric sector, the second approach includes indicators related with the characteristics of the fuel and the third it considers indicators related with the acting of the plant in safety and environmental impact. This second study allowed us to know the qualities of

  16. A case for integrating the Patient and Family Centered Care Methodology and Practice in Lean healthcare organizations.

    Science.gov (United States)

    DiGioia, Anthony M; Greenhouse, Pamela K; Chermak, Tanya; Hayden, Margaret A

    2015-12-01

    Many healthcare organizations using Lean are becoming interested in the Patient and Family Centered Care Methodology and Practice (PFCC M/P). We suggest that integrating the two approaches can accelerate the pace of improvement and provide a powerful mechanism to keep the patient and family as the primary focus of improvement activities. We describe the two approaches and note the ways in which they are complementary. We then discuss the ways in which integrating the PFCC M/P adds value to patients, families, providers, and organizations and accelerates transformation. Finally, we suggest ways to implement PFCC M/P within Lean healthcare organizations.

  17. INTEGRATIVE COURSES AS A METHODOLOGICAL FOUNDATION IN THE SYSTEM OF CONTINUOUS EDUCATION OF THE TWENTY-FIRST CENTURY

    Directory of Open Access Journals (Sweden)

    E.V. Luzik

    2005-02-01

    Full Text Available  Considered are the theoretical and methodological bases for the development of integrative courses as a holistic process of shaping specialists, both personally and professionally, that puts in place the conditions necessary for developing further their creative personality; with a level of creative potential marking all the stages of activity of the person, that retains his / her creative essence – the tendency to search and transform.

  18. Fuzzy Set Methods for Object Recognition in Space Applications

    Science.gov (United States)

    Keller, James M. (Editor)

    1992-01-01

    Progress on the following four tasks is described: (1) fuzzy set based decision methodologies; (2) membership calculation; (3) clustering methods (including derivation of pose estimation parameters), and (4) acquisition of images and testing of algorithms.

  19. Efficient fuzzy Bayesian inference algorithms for incorporating expert knowledge in parameter estimation

    Science.gov (United States)

    Rajabi, Mohammad Mahdi; Ataie-Ashtiani, Behzad

    2016-05-01

    Bayesian inference has traditionally been conceived as the proper framework for the formal incorporation of expert knowledge in parameter estimation of groundwater models. However, conventional Bayesian inference is incapable of taking into account the imprecision essentially embedded in expert provided information. In order to solve this problem, a number of extensions to conventional Bayesian inference have been introduced in recent years. One of these extensions is 'fuzzy Bayesian inference' which is the result of integrating fuzzy techniques into Bayesian statistics. Fuzzy Bayesian inference has a number of desirable features which makes it an attractive approach for incorporating expert knowledge in the parameter estimation process of groundwater models: (1) it is well adapted to the nature of expert provided information, (2) it allows to distinguishably model both uncertainty and imprecision, and (3) it presents a framework for fusing expert provided information regarding the various inputs of the Bayesian inference algorithm. However an important obstacle in employing fuzzy Bayesian inference in groundwater numerical modeling applications is the computational burden, as the required number of numerical model simulations often becomes extremely exhaustive and often computationally infeasible. In this paper, a novel approach of accelerating the fuzzy Bayesian inference algorithm is proposed which is based on using approximate posterior distributions derived from surrogate modeling, as a screening tool in the computations. The proposed approach is first applied to a synthetic test case of seawater intrusion (SWI) in a coastal aquifer. It is shown that for this synthetic test case, the proposed approach decreases the number of required numerical simulations by an order of magnitude. Then the proposed approach is applied to a real-world test case involving three-dimensional numerical modeling of SWI in Kish Island, located in the Persian Gulf. An expert

  20. Quantifying biopsychosocial aspects in everyday contexts: an integrative methodological approach from the behavioral sciences

    Science.gov (United States)

    Portell, Mariona; Anguera, M Teresa; Hernández-Mendo, Antonio; Jonsson, Gudberg K

    2015-01-01

    Contextual factors are crucial for evaluative research in psychology, as they provide insights into what works, for whom, in what circumstances, in what respects, and why. Studying behavior in context, however, poses numerous methodological challenges. Although a comprehensive framework for classifying methods seeking to quantify biopsychosocial aspects in everyday contexts was recently proposed, this framework does not contemplate contributions from observational methodology. The aim of this paper is to justify and propose a more general framework that includes observational methodology approaches. Our analysis is rooted in two general concepts: ecological validity and methodological complementarity. We performed a narrative review of the literature on research methods and techniques for studying daily life and describe their shared properties and requirements (collection of data in real time, on repeated occasions, and in natural settings) and classification criteria (eg, variables of interest and level of participant involvement in the data collection process). We provide several examples that illustrate why, despite their higher costs, studies of behavior and experience in everyday contexts offer insights that complement findings provided by other methodological approaches. We urge that observational methodology be included in classifications of research methods and techniques for studying everyday behavior and advocate a renewed commitment to prioritizing ecological validity in behavioral research seeking to quantify biopsychosocial aspects. PMID:26089708

  1. Methodology based in the fuzzy logic for constructing the objective functions in optimization problems of nuclear fuel: application to the cells radial design; Metodologia basada en logica difusa para construir las funciones objetivo en problemas de optimizacion de combustible nuclear: aplicacion al diseno radial de celdas

    Energy Technology Data Exchange (ETDEWEB)

    Barragan M, A.M.; Martin del Campo M, C.; Palomera P, M.A. [FI-UNAM, Circuito Exterior, Ciudad Universitaria, 04510 Mexico D.F. (Mexico)]. E-mail: ale_bar_m@yahoo.com.mx

    2005-07-01

    A methodology based on Fuzzy Logic for the construction of the objective function of the optimization problems of nuclear fuel is described. It was created an inference system that responds, in certain form, as a human expert when it has the task of qualifying different radial designs of fuel cells. Specifically it is detailed how an inference system based based on Fuzzy Logic that has five enter variables and one exit variable was built, which corresponds to the objective function for the radial design of a fuel cell for a BWR. The use of Fuzzy with Mat lab offered the visualization capacity of the exit variable in function of one or two enter variables at the same time. This allowed to build, in appropriate way, the combination of the inference rules and the membership functions of those diffuse sets used for each one of the enter variables. The obtained objective function was used in an optimization process based on Taboo search. The new methodology was proven for the design of a cell used in a fuel assemble of the Laguna Verde reactor obtaining excellent results. (Author)

  2. INTEGRATED METHODOLOGY OF I.I. MECHNIKOV AND MODERN ADDRESS IMMUNOCORRECTION AT MYASTHENIA

    Directory of Open Access Journals (Sweden)

    Klimova E.M.

    2015-05-01

    Full Text Available Introduction. There is carried out reconstruction of the past in the field of integrated discoveries of well-known scientist I.I. Mechnikov for research of aspects of phagocytic function of immune cells and infectious factors in etiology and pathogenesis of progressing myasthenia. There are analyzed the leading factors which have generated scientific outlook and integrated analytical methodology of knowledge of I.I. Mechnikov – the native of the Kharkov province, the graduate student of the Kharkov Imperial University of 1864, the Nobel prize winner of 1908 for creation of the theory of phagocytosis and the author of set of works in the field of microbiology, immunology and virology. Material & methods. The work studied the mechanisms of disorder of various stages of barrier phagocytic function of neutrophils and frequency of occurrence and various degree of expression of virus persistence at patients with myasthenia is determined. Phagocytosis disturbance leads to uncontrollable development of infections at myasthenia. Advance of muscular delicacy and morph-functional disturbances in thymus, obviously, depend on the individual mechanisms which affect various stages of immune disbalance. The whole century has passed from the moment of creation of the phagocytic theory. For this time all stages of this process have been studied, methodical approaches are developed for an estimation of specific features of this phenomenon, from light microscopy to flowing cytofluorometry. Possibilities of light microscopy allow to visualize the stages of phagocytosis from chemotaxis and adhesions to completeness of digestion by neutrophils in dynamics. And Nitro Blue Tetrazolium Reduction Test (NBTR is used for an estimation of enzymatic activity of phagocytes for initiation of formation of active forms of oxygen at the phagosoma formation stage. The given method allows to investigate stages of oxygen-dependent metabolism of neutrophils. Along with these methods

  3. Integration of fuzzy logic and image analysis for the detection of gullies in the Calhoun Critical Zone Observatory using airborne LiDAR data

    Science.gov (United States)

    Noto, Leonardo V.; Bastola, Satish; Dialynas, Yannis G.; Arnone, Elisa; Bras, Rafael L.

    2017-04-01

    The entire Piedmont of the Southeastern United States, where the Calhoun Critical Zone Observatory (CCZO) is located, experienced one of the most severe erosive events of the last two centuries. Forested areas were cleared to cultivate cotton, tobacco, and other crops during the nineteenth and early twentieth century and these land use changes, together with intense rainfalls, initiated deep gullying. An accurate mapping of these landforms is important since, despite some gully stabilization and reforestation efforts, gullies are still major contributors of sediment to streams. Mapping gullies in the CCZO area is hindered by the presence of dense canopy, which precludes the identification through aerial photogrammetry and other traditional remote sensing methods. Moreover, the wide spatial extent of the gullies makes the identification and characterization of entire gullies through field surveys a very large and expensive proposition. This work aims to develop a methodology to automatically detect and map gullies based on a set of algorithms and morphological characteristics retrieved by very high resolution (VHR) imagery. A one-meter resolution LiDAR Digital Elevation Model (DEM) is used to derive different morphometric indices, which are combined by using spatial analysis methods and fuzzy logic rules, building up a tool able to automatically identify gullies. This spatial model has been calibrated using, as reference, the perimeters of two relatively large gullies that have been measured during a recent field survey. The entire procedure aims to provide estimates of gully erosion patterns, which characterize the entire CCZO area, and to develop an objective method to measure characteristic features of gullies (i.e., depth and volume).

  4. Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    L. M. Galantucci

    2004-06-01

    Full Text Available The authors propose the implementation of hybrid Fuzzy Logic-Genetic Algorithm (FL-GA methodology to plan the automatic assembly and disassembly sequence of products. The GA-Fuzzy Logic approach is implemented onto two levels. The first level of hybridization consists of the development of a Fuzzy controller for the parameters of an assembly or disassembly planner based on GAs. This controller acts on mutation probability and crossover rate in order to adapt their values dynamically while the algorithm runs. The second level consists of the identification of the optimal assembly or disassembly sequence by a Fuzzy function, in order to obtain a closer control of the technological knowledge of the assembly/disassembly process. Two case studies were analyzed in order to test the efficiency of the Fuzzy-GA methodologies.

  5. Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms

    Directory of Open Access Journals (Sweden)

    L.M. Galantucci

    2008-11-01

    Full Text Available The authors propose the implementation of hybrid Fuzzy Logic-Genetic Algorithm (FL-GA methodology to plan the automatic assembly and disassembly sequence of products. The GA-Fuzzy Logic approach is implemented onto two levels. The first level of hybridization consists of the development of a Fuzzy controller for the parameters of an assembly or disassembly planner based on GAs. This controller acts on mutation probability and crossover rate in order to adapt their values dynamically while the algorithm runs. The second level consists of the identification of the optimal assembly or disassembly sequence by a Fuzzy function, in order to obtain a closer control of the technological knowledge of the assembly/disassembly process. Two case studies were analyzed in order to test the efficiency of the Fuzzy-GA methodologies.

  6. 基于Choquet模糊积分SVM集成及其实证研究%Choquet-Fuzzy-Integral-Based SVM Ensemble Method and Its Empirical Study

    Institute of Scientific and Technical Information of China (English)

    倪渊; 林健

    2012-01-01

    In order to improve the classification performance of the support vector machine (SVM) ensemble methods, a modified SVM ensemble method is put forward by using Choquet fuzzy integral other than Sugeno integral. The proposed method takes the output of every SVM component into account such that it overcomes the drawback of the existing SVM ensemble methods that neglect the secondary information. As an example, based on the data collected in Shandong Province, the proposed method is used to evaluate the performance of social service made by the colleges in the Province. Simulation results show that the proposed method outperforms the existing SVM ensemble methods in the sense of classification performance.%为了进一步提高SVM集成的泛化能力,提出了基于Choquet模糊积分的SVMs集成方法,综合考虑各个子SVM输出重要性,避免了现有SVM集成方法中忽略次要信息的问题.应用该方法,以高校的区域经济贡献度为例进行仿真试验,结果表明基于Choquet模糊积分的SVMs集成方法较基于Sugeno模糊积分SVMs集成方法和基于投票策略的SVMs集成方法具有更高的准确性.该方法是可行、有效的,具有一定的推广价值.

  7. Control of the Coagulation Process in a Paper-mill Wastewater Treatment Process Using a Fuzzy Neural Network

    OpenAIRE

    Wan, J.-Q.; Huang, M.-Z.; Ma, Y.-W.; Guo, W. J.; Y. Wang; Zhang, H.-P.

    2010-01-01

    In this paper, an integrated neural-fuzzy process controller was developed to study the coagulation of wastewater treatment in a paper mill. In order to improve the fuzzy neural network performance, the self-learning ability embedded in the fuzzy neural network model was emphasized for improving the rule extraction performance. It proves the fuzzy neural network more effective in modeling the coagulation performance than artificial neural networks (ANN). For comparing between the fuzzy neural...

  8. Application of Master Curve Methodology for Structural Integrity Assessments of Nuclear Components

    Energy Technology Data Exchange (ETDEWEB)

    Sattari-Far, Iradj [Det Norske Veritas, Stockholm (Sweden); Wallin, Kim [VTT, Esbo (Finland)

    2005-10-15

    The objective was to perform an in-depth investigation of the Master Curve methodology and also based on this method develop a procedure for fracture assessments of nuclear components. The project has sufficiently illustrated the capabilities of the Master Curve methodology for fracture assessments of nuclear components. Within the scope of this work, the theoretical background of the methodology and its validation on small and large specimens has been studied and presented to a sufficiently large extent, as well as the correlations between the charpy-V data and the Master Curve T{sub 0} reference temperature in the evaluation of fracture toughness. The work gives a comprehensive report of the background theory and the different applications of the Master Curve methodology. The main results of the work have shown that the cleavage fracture toughness is characterized by a large amount of statistical scatter in the transition region, it is specimen size dependent and it should be treated statistically rather than deterministically. The Master Curve methodology is able to make use of statistical data in a consistent way. Furthermore, the Master Curve methodology provides a more precise prediction of the fracture toughness of embrittled materials in comparison with the ASME K{sub IC} reference curve, which often gives over-conservative results. The suggested procedure in this study, concerning the application of the Master Curve method in fracture assessments of ferritic steels in the transition region and the low shelf regions, is valid for the temperatures range T{sub 0}-50{<=}T{<=}T{sub 0}+50 deg C. If only approximate information is required, the Master Curve may well be extrapolated outside this temperature range. The suggested procedure has also been illustrated for some examples.

  9. Boltzmann, Lotka and Volterra and spatial structural evolution: an integrated methodology for some dynamical systems.

    Science.gov (United States)

    Wilson, Alan

    2008-08-01

    It is shown that Boltzmann's methods from statistical physics can be applied to a much wider range of systems, and in a variety of disciplines, than has been commonly recognized. A similar argument can be applied to the ecological models of Lotka and Volterra. Furthermore, it is shown that the two methodologies can be applied in combination to generate the Boltzmann, Lotka and Volterra (BLV) models. These techniques enable both spatial interaction and spatial structural evolution to be modelled, and it is argued that they potentially provide a much richer modelling methodology than that currently used in the analysis of 'scale-free' networks.

  10. Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review

    Directory of Open Access Journals (Sweden)

    Luis Antonio Santa-Eulalia

    2011-12-01

    Full Text Available Purpose: The objective of this paper is to provide a systematic literature review of recent developments in methodological frameworks for the modelling and simulation of agent-based advanced supply chain planning systems.Design/methodology/approach: A systematic literature review is provided to identify, select and make an analysis and a critical summary of all suitable studies in the area. It is organized into two blocks: the first one covers agent-based supply chain planning systems in general terms, while the second one specializes the previous search to identify those works explicitly containing methodological aspects.Findings: Among sixty suitable manuscripts identified in the primary literature search, only seven explicitly considered the methodological aspects. In addition, we noted that, in general, the notion of advanced supply chain planning is not considered unambiguously, that the social and individual aspects of the agent society are not taken into account in a clear manner in several studies and that a significant part of the works are of a theoretical nature, with few real-scale industrial applications. An integrated framework covering all phases of the modelling and simulation process is still lacking in the literature visited.Research limitations/implications: The main research limitations are related to the period covered (last four years, the selected scientific databases, the selected language (i.e. English and the use of only one assessment framework for the descriptive evaluation part.Practical implications: The identification of recent works in the domain and discussion concerning their limitations can help pave the way for new and innovative researches towards a complete methodological framework for agent-based advanced supply chain planning systems.Originality/value: As there are no recent state-of-the-art reviews in the domain of methodological frameworks for agent-based supply chain planning, this paper contributes to

  11. Gowin's Knowledge Vee and the Integration of Philosophy and Methodology: A Case Study

    Science.gov (United States)

    Fox, Roddy

    2007-01-01

    Many universities with a strong research tradition have courses or modules examining the tradition's philosophies and methodologies to prepare their students to undertake research programmes. Recently, however, authors have called for wider debate concerning how these courses are taught and this paper aims to make a contribution to this debate.…

  12. A food quality management research methodology integrating technological and managerial theories

    NARCIS (Netherlands)

    Luning, P.A.; Marcelis, W.J.

    2009-01-01

    In this article it is argued how the complexity of food quality management combined with the high requirements on food quality requires a specific research methodology. It is concluded that food quality management research has to deal with two quite different paradigms, the one from technological

  13. A food quality management research methodology integrating technological and managerial theories

    NARCIS (Netherlands)

    Luning, P.A.; Marcelis, W.J.

    2009-01-01

    In this article it is argued how the complexity of food quality management combined with the high requirements on food quality requires a specific research methodology. It is concluded that food quality management research has to deal with two quite different paradigms, the one from technological an

  14. Role playing games: a methodology to acquire knowledge for integrated wastewater infrastructures management in a river basin scale.

    Science.gov (United States)

    Prat, P; Aulinas, M; Turon, C; Comas, J; Poch, M

    2009-01-01

    Current management of sanitation infrastructures (sewer systems, wastewater treatment plant, receiving water, bypasses, deposits, etc) is not fulfilling the objectives of up to date legislation, to achieve a good ecological and chemical status of water bodies through integrated management. These made it necessary to develop new methodologies that help decision makers to improve the management in order to achieve that status. Decision Support Systems (DSS) based on Multi-Agent System (MAS) paradigm are promising tools to improve the integrated management. When all the different agents involved interact, new important knowledge emerges. This knowledge can be used to build better DSS and improve wastewater infrastructures management achieving the objectives planned by legislation. The paper describes a methodology to acquire this knowledge through a Role Playing Game (RPG). First of all there is an introduction about the wastewater problems, a definition of RPG, and the relation between RPG and MAS. Then it is explained how the RPG was built with two examples of game sessions and results. The paper finishes with a discussion about the uses of this methodology and future work.

  15. Transformation and entropy for fuzzy rough sets

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    A new method for translating a fuzzy rough set to a fuzzy set is introduced and the fuzzy approximation of a fuzzy rough set is given.The properties of the fuzzy approximation of a fuzzy rough set are studied and a fuzzy entropy measure for fuzzy rough sets is proposed.This measure is consistent with similar considerations for ordinary fuzzy sets and is the result of the fuzzy approximation of fuzzy rough sets.

  16. Hybird Fuzzy Decision Making Framework for Environmental Impact Assessment, Tangier, Morocco

    Directory of Open Access Journals (Sweden)

    Kaoutar BENNIS

    2015-02-01

    Full Text Available The purpose of this paper is to implement a methodology based on stakeholder’s judgment with assistance of fuzzy Multi-Criteria Decision Analysis (MCDA methods to assess the environmental impact. Fuzzy Analytic Hierarchy Process (FAHP is used as a multi-level decision-making tool taking into consideration human evaluation; it captures the vagueness in ordinal judgments obtained from stakeholder’s filled questionnaires and translates them into priorities which are not vague. Fuzzy ELECTRE III, known as the elimination and choice translating reality method is employed to opt for a solution to mitigate the assessed impacts. Soil, underground, surface water, underground water, air, aquatic ecology, terrestrial ecology, public health, view, economy are the ten sub-criteria used in environmental impact assessment, they are subject to the appreciations of six stakeholders groups which represent the main decision makers (DM: neighbors, enterprises, keys actors, state departments, medias and research institutions. The set of alternatives comprises the creation of a new landfill site, creation of a new ringroad, installation of a recycling unit, installation of a lixiviat unit, installation of a biogas unit and soil stabilization. The use of combined Stakeholder's analysis, Fuzzy AHP and Fuzzy ELECTRE III are the distinguishing features of this paper, they form an integrated decision aiding framework that constitutes its novelty. It is applied on the linguistic judgments values to assess the environmental impact. This work proposes an integrated decision-making approach applied in the case study of the urban waste landfill of Tangier city in north Morocco.

  17. Boolean Operator Fuzzy Logic

    Institute of Scientific and Technical Information of China (English)

    刘叙华; 邓安生

    1994-01-01

    A new approach of operator fuzzy logic, Boolean operator fuzzy logic (BOFL) based on Boolean algebra, is presented. The resolution principle is also introduced into BOFL. BOFL is a natural generalization of classical logic and can be applied to the qualitative description of fuzzy knowledge.

  18. Paired fuzzy sets

    DEFF Research Database (Denmark)

    Rodríguez, J. Tinguaro; Franco de los Ríos, Camilo; Gómez, Daniel

    2015-01-01

    In this paper we want to stress the relevance of paired fuzzy sets, as already proposed in previous works of the authors, as a family of fuzzy sets that offers a unifying view for different models based upon the opposition of two fuzzy sets, simply allowing the existence of different types...

  19. Fuzzy Linguistic Topological Spaces

    CERN Document Server

    Kandasamy, W B Vasantha; Amal, K

    2012-01-01

    This book has five chapters. Chapter one is introductory in nature. Fuzzy linguistic spaces are introduced in chapter two. Fuzzy linguistic vector spaces are introduced in chapter three. Chapter four introduces fuzzy linguistic models. The final chapter suggests over 100 problems and some of them are at research level.

  20. Fuzzy Logic Engine

    Science.gov (United States)

    Howard, Ayanna

    2005-01-01

    The Fuzzy Logic Engine is a software package that enables users to embed fuzzy-logic modules into their application programs. Fuzzy logic is useful as a means of formulating human expert knowledge and translating it into software to solve problems. Fuzzy logic provides flexibility for modeling relationships between input and output information and is distinguished by its robustness with respect to noise and variations in system parameters. In addition, linguistic fuzzy sets and conditional statements allow systems to make decisions based on imprecise and incomplete information. The user of the Fuzzy Logic Engine need not be an expert in fuzzy logic: it suffices to have a basic understanding of how linguistic rules can be applied to the user's problem. The Fuzzy Logic Engine is divided into two modules: (1) a graphical-interface software tool for creating linguistic fuzzy sets and conditional statements and (2) a fuzzy-logic software library for embedding fuzzy processing capability into current application programs. The graphical- interface tool was developed using the Tcl/Tk programming language. The fuzzy-logic software library was written in the C programming language.

  1. Integrating Ethics into International Business Teaching: Challenges and Methodologies in the Greater China Context

    Science.gov (United States)

    Whitla, Paul

    2011-01-01

    This paper examines the process of integrating ethics into the teaching of international business within the Greater China region. An example of how ethics is integrated into a required undergraduate international business course at a Hong Kong based university is presented. The contextual challenges of developing a course for use in the Greater…

  2. Integrating Ethics into International Business Teaching: Challenges and Methodologies in the Greater China Context

    Science.gov (United States)

    Whitla, Paul

    2011-01-01

    This paper examines the process of integrating ethics into the teaching of international business within the Greater China region. An example of how ethics is integrated into a required undergraduate international business course at a Hong Kong based university is presented. The contextual challenges of developing a course for use in the Greater…

  3. Individual Differences in Base Rate Neglect: A Fuzzy Processing Preference Index

    Science.gov (United States)

    Wolfe, Christopher R.; Fisher, Christopher R.

    2013-01-01

    Little is known about individual differences in integrating numeric base-rates and qualitative text in making probability judgments. Fuzzy-Trace Theory predicts a preference for fuzzy processing. We conducted six studies to develop the FPPI, a reliable and valid instrument assessing individual differences in this fuzzy processing preference. It…

  4. Design of integrated autopilot/autothrottle for NASA TSRV airplane using integral LQG methodology. [transport systems research vehicle

    Science.gov (United States)

    Kaminer, Isaac; Benson, Russell A.

    1989-01-01

    An integrated autopilot/autothrottle control system has been developed for the NASA transport system research vehicle using a two-degree-of-freedom approach. Based on this approach, the feedback regulator was designed using an integral linear quadratic regulator design technique, which offers a systematic approach to satisfy desired feedback performance requirements and guarantees stability margins in both control and sensor loops. The resulting feedback controller was discretized and implemented using a delta coordinate concept, which allows for transient free controller switching by initializing all controller states to zero and provides a simple solution for dealing with throttle limiting cases.

  5. Evaluating Loans Using a Combination of Data Envelopment and Neuro-Fuzzy Systems

    Directory of Open Access Journals (Sweden)

    Rashmi Malhotra

    2015-02-01

    Full Text Available A business organization's objective is to make better decisions at all levels of the firm to improve performance. Typically organizations are multi-faceted and complex systems that use uncertain information. Therefore, making quality decisions to improve organizational performance is a daunting task. Organizations use decision support systems that apply different business intelligence techniques such as statistical models, scoring models, neural networks, expert systems, neuro-fuzzy systems, case-based systems, or simply rules that have been developed through experience. Managers need a decision-making approach that is robust, competent, effective, efficient, and integrative to handle the multi-dimensional organizational entities. The decision maker deals with multiple players in an organization such as products, customers, competitors, location, geographic structure, scope, internal organization, and cultural dimension [46]. Sound decisions include two important concepts: efficiency (return on invested resources and effectiveness (reaching predetermined goals. However, quite frequently, the decision maker cannot simultaneously handle data from different sources. Hence, we recommend that managers analyze different aspects of data from multiple sources separately and integrate the results of the analysis. This study proposes the design of a multi-attribute-decision-support-system that combines the analytical power of two different tools: data envelopment analysis (DEA and fuzzy logic. DEA evaluates and measures the relative efficiency of decision making units that use multiple inputs and outputs to provide non-objective measures without making any specific assumptions about data. On the other hand fuzzy logic's main strength lies in handling imprecise data. This study proposes a modeling technique that jointly uses the two techniques to benefit from the two methodologies. A major advantage of the DEA approach is that it clearly identifies the

  6. Automating Software Development Process using Fuzzy Logic

    NARCIS (Netherlands)

    Marcelloni, Francesco; Aksit, Mehmet; Damiani, Ernesto; Jain, Lakhmi C.; Madravio, Mauro

    2004-01-01

    In this chapter, we aim to highlight how fuzzy logic can be a valid expressive tool to manage the software development process. We characterize a software development method in terms of two major components: artifact types and methodological rules. Classes, attributes, operations, and inheritance an

  7. An Integrated Quantitative Methodology to Longitudinally Characterize Complex Dynamic Processes Associated with Ovarian Aging and the Menopausal Transition

    Directory of Open Access Journals (Sweden)

    Huiyong Zheng

    2011-06-01

    Full Text Available An integrative methodology is developed to characterize the complex patterns of change in highly variable dynamic biological processes. The method permits estimatation of the population mean profile, multiple change points and length of time-windows defined by any two change points of interest using a semi-/non-parametric stochastic mixed effect model and a Bayesian Modeling Average (BMA approach to account for model uncertainty. It also allows estimation of the mean rate of change of sub-processes by fitting piecewise linear mixed effect models. The methodology is applied to characterize the stages of female ovarian aging and the menopausal transition defined by hormone measures of estradiol (E2 and follicle stimulating hormone (FSH from two large-scale epidemiological studies with community-based longitudinal designs and ethnic diversity.

  8. An Integrated Quantitative Methodology to Longitudinally Characterize Complex Dynamic Processes Associated with Ovarian Aging and the Menopausal Transition.

    Science.gov (United States)

    Zheng, Huiyong; Sowers, Maryfran; Randolph, John F; Harlow, Siobán D

    2011-01-01

    An integrative methodology is developed to characterize the complex patterns of change in highly variable dynamic biological processes. The method permits estimatation of the population mean profile, multiple change points and length of time-windows defined by any two change points of interest using a semi-/non-parametric stochastic mixed effect model and a Bayesian Modeling Average (BMA) approach to account for model uncertainty. It also allows estimation of the mean rate of change of sub-processes by fitting piecewise linear mixed effect models. The methodology is applied to characterize the stages of female ovarian aging and the menopausal transition defined by hormone measures of estradiol (E2) and follicle stimulating hormone (FSH) from two large-scale epidemiological studies with community-based longitudinal designs and ethnic diversity.

  9. An integrated approach to safety-driven and ICT-enabled process reengineering: methodological advice and a case study.

    Science.gov (United States)

    Langer, M; Castellari, R; Locatelli, P; Sini, E; Torresani, M; Facchini, R; Moser, R

    2014-01-01

    Patient safety is a central concern inside any healthcare environment. With the progress of Information and Communication Technologies (ICTs), new solutions have become available to support care and management processes. Analyzing process risks helps identifying areas of improvement and provides ICT-solutions design with indications on what portions of the process need primary interventions. Understanding the link between process reengineering, technology assessment of enabling technologies and risk management allows user acceptance and patient safety improvements. Fondazione IRCCS Istituto Nazionale dei Tumori (INT), offers a good example of process reengineering driven by the purpose of increasing patient safety, enabled by new technologies. A pillar of the evolution of ICT process support at INT is based on Radio Frequency Identification technologies, implemented to identify and trace items and people across processes. This paper will present an integrated approach, based on process reengineering methodologies and risk assessment studies, and methodological advice applied to a case of surgical kits management procedures.

  10. Some weakly mappings on intuitionistic fuzzy topological spaces

    OpenAIRE

    Zhen-Guo Xu; Fu-Gui Shi

    2008-01-01

    In this paper, we shall introduce concepts of fuzzy semiopen set, fuzzy semiclosed set, fuzzy semiinterior, fuzzy semiclosure on intuitionistic fuzzy topological space and fuzzy open (fuzzy closed) mapping, fuzzy irresolute mapping, fuzzy irresolute open (closed) mapping, fuzzy semicontinuous mapping and fuzzy semiopen (semiclosed) mapping between two intuitionistic fuzzy topological spaces. Moreover, we shall discuss their some properties.

  11. Countable Fuzzy Topological Space and Countable Fuzzy Topological Vector Space

    Directory of Open Access Journals (Sweden)

    Apu Kumar Saha

    2015-06-01

    Full Text Available This paper deals with countable fuzzy topological spaces, a generalization of the notion of fuzzy topological spaces. A collection of fuzzy sets F on a universe X forms a countable fuzzy topology if in the definition of a fuzzy topology, the condition of arbitrary supremum is relaxed to countable supremum. In this generalized fuzzy structure, the continuity of fuzzy functions and some other related properties are studied. Also the class of countable fuzzy topological vector spaces as a generalization of the class of fuzzy topological vector spaces has been introduced and investigated.

  12. FUZZY KNOWLEDGE ACQUIREMENT IN GATE DESIGN

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    In order to reduce time and cost in engineering design, such as gate design, integral field knowledge must be obtained efficiently. After studying ID3 and its improved methods, a new algorithm(Fuzzy ID3)and its main concepts are presented to overcome some disadvantage in classical ID3 algorithms. In its application of gate design, fuzzy knowledge gotten by the new algorithm is more efficient than the knowledge by other ID3 algorithms, the set of fuzzy knowledge is much smaller than that of knowledge by classical ID3 algorithms. On the other hand, fuzzy knowledge represents field data more naturally to the way of buman thinking and more robust in tolerating imprecise,conflicting and missing information.

  13. Frontiers of higher order fuzzy sets

    CERN Document Server

    Tahayori, Hooman

    2015-01-01

    Frontiers of Higher Order Fuzzy Sets, strives to improve the theoretical aspects of general and Interval Type-2 fuzzy sets and provides a unified representation theorem for higher order fuzzy sets. Moreover, the book elaborates on the concept of gradual elements and their integration with the higher order fuzzy sets. This book also introduces new frameworks for information granulation based on general T2FSs, IT2FSs, Gradual elements, Shadowed sets and rough sets. In particular, the properties and characteristics of the new proposed frameworks are studied. Such new frameworks are shown to be more capable to be exploited in real applications. Higher order fuzzy sets that are the result of the integration of general T2FSs, IT2FSs, gradual elements, shadowed sets and rough sets will be shown to be suitable to be applied in the fields of bioinformatics, business, management, ambient intelligence, medicine, cloud computing and smart grids. Presents new variations of fuzzy set frameworks and new areas of applicabili...

  14. Hydrograph estimation with fuzzy chain model

    Science.gov (United States)

    Güçlü, Yavuz Selim; Şen, Zekai

    2016-07-01

    Hydrograph peak discharge estimation is gaining more significance with unprecedented urbanization developments. Most of the existing models do not yield reliable peak discharge estimations for small basins although they provide acceptable results for medium and large ones. In this study, fuzzy chain model (FCM) is suggested by considering the necessary adjustments based on some measurements over a small basin, Ayamama basin, within Istanbul City, Turkey. FCM is based on Mamdani and the Adaptive Neuro Fuzzy Inference Systems (ANFIS) methodologies, which yield peak discharge estimation. The suggested model is compared with two well-known approaches, namely, Soil Conservation Service (SCS)-Snyder and SCS-Clark methodologies. In all the methods, the hydrographs are obtained through the use of dimensionless unit hydrograph concept. After the necessary modeling, computation, verification and adaptation stages comparatively better hydrographs are obtained by FCM. The mean square error for the FCM is many folds smaller than the other methodologies, which proves outperformance of the suggested methodology.

  15. Study on the accuracy of comprehensive evaluating method based on fuzzy set theory

    Institute of Scientific and Technical Information of China (English)

    Xu Weixiang; Liu Xumin

    2005-01-01

    The evaluation method and its accuracy for evaluating complex systems are considered. In order to evaluate accurately complex systems, the existed evaluating methods are simply analyzed, and a new comprehensive evaluating method is developed. The new method is integration of Delphi approach, analytic hierarchy process, gray interconnect degree and fuzzy evaluation (DHGF). Its theory foundation is the meta-synthesis methodology from qualitative analysis to quantitative analysis. According to fuzzy set approach, using the methods of concordance of evaluation, redundant verify, double models redundant, and limitations of the method etc, the accuracy of evaluating method of DHGF is estimated, and a practical example is given. The result shows that using the method to evaluate complex system projects is feasible and credible.

  16. Methodologies of health impact assessment as part of an integrated approach to reduce effects of air pollution

    Energy Technology Data Exchange (ETDEWEB)

    Aunan, K.; Seip, H.M.

    1995-12-01

    Quantification of average frequencies of health effects on a population level is an essential part of an integrated assessment of pollution effects. Epidemiological studies seem to provide the best basis for such estimates. This paper gives an introduction to a methodology for health impact assessment and also the results from selected parts of a case study in Hungary. This case study is aimed at testing and improving the methodology for integrated assessment and focuses on energy production and consumption and implications for air pollution. Using monitoring data from Budapest, the paper gives estimates of excess frequencies of respiratory illness, mortality and other health end-points. For a number of health end-points, particles probably may serve as a good indicator component. Stochastic simulation is used to illustrate the uncertainties imbedded in the exposure-response function applied. The paper uses the ``bottom up approach`` to find cost-effective abatement strategies against pollution damages, where specific abatement measures such as emission standards for vehicles are explored in detail. It is concluded that in spite of large uncertainties in every step of the analysis, an integrated assessment of costs and benefits of different abatement measures is valuable as it clarifies the main objectives of an abatement policy and explicitly describes the adverse impacts of different activities and their relative importance. 46 refs., 11 figs., 2 tabs.

  17. Landscape evaluation of heterogeneous areas using fuzzy sets

    Directory of Open Access Journals (Sweden)

    Ralf-Uwe Syrbe

    1998-02-01

    Full Text Available Landscape evaluation is an interesting field for fuzzy approaches, because it happens on the transition line between natural and social systems. Both are very complex. Therefore, transformation of scientific results to politically significant statements on environmental problems demands intelligent support. Particularly landscape planners need methods to gather natural facts of an area and assess them in consideration of its meaning to society as a whole. Since each land unit is heterogeneous, a special methodology is necessary. Such an evaluation technique was developed within a Geographical Information System (ARC/INFO. The methodology combines several known methods with fuzzy approaches to catch the intrinsic fuzziness of ecological systems as well as the heterogeneity of landscape. Additionally, a way will be discussed to vary the fuzzy inference in order to consider spatial relations of various landscape elements. Fuzzy logic is used to process the data uncertainty, to simulate the vagueness of knowledge about ecological functionality, and to model the spatial structure of landscape. Fuzzy sets describe the attributes of thematically defined land units and their assessment results. In this way, the available information will be preserved in their full diversity. The fuzzy operations are executed by AML-programs (ARC/INFO Macro Language. With such a tight coupling, it is possible to use the geographical functions (neighbourhoods, distances, etc. of GIS within the fuzzy system directly.

  18. Mathematics of Fuzzy Sets and Fuzzy Logic

    CERN Document Server

    Bede, Barnabas

    2013-01-01

    This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic.   Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage. The main purpose of the present book is to reduce this gap by providing a theoretical introduction into Fuzzy Sets based on Mathematical Analysis and Approximation Theory. Well-known applications, as for example fuzzy control, are also discussed in this book and placed on new ground, a theoretical foundation. Moreover, a few advanced chapters and several new results are included. These comprise, among others, a new systematic and constructive approach for fuzzy infer...

  19. Beyond Dualisms in Methodology: An Integrative Design Research Medium "MAPS" and some Reflections

    OpenAIRE

    Chow, Rosan; Jonas, Wolfgang

    2009-01-01

    Design research is an academic issue and increasingly an essential success factor for industrial, organizational and social innovation. The fierce rejection of 1st generation design methods in the early 1970s resulted in the postmodernist attitude of "no methods", and subsequently, after more than a decade, in the strong adoption of scientific methods, or "the" scientific method, for design research. The current situation regarding methodology is characterized by unproductive dualisms such as...

  20. How we pass from fuzzy $po$-semigroups to fuzzy $po$-$\\Gamma$-semigroups

    OpenAIRE

    Kehayopulu, Niovi

    2014-01-01

    The results on fuzzy ordered semigroups (or on fuzzy semigroups) can be transferred to fuzzy ordered gamma (or to fuzzy gamma) semigroups. We show the way we pass from fuzzy ordered semigroups to fuzzy ordered gamma semigroups.