A abordagem Cognitivo-Comportamental dos sonhos de alcoolistas El abordage Cognitivo-Comportamental de los sueños de alcoholicos Dreams of alcoholics according to Cognitive-Behavioural therapy

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Renata Brasil Araujo

2004-04-01

Full Text Available Este trabalho tem por objetivo realizar uma revisão teórica a respeito do sono e dos sonhos de alcoolistas de acordo com a Terapia Cognitivo-Comportamental, aprofundando aspectos cognitivos e neurológicos. Na medida em que esta é a abordagem psicoterápica mais indicada para dependência química, os sonhos, utilizados na Terapia Psicanalítica, tiveram de ser estudados sob o enfoque cognitivo-comportamental, para que pudessem ser aproveitados na clínica com estes pacientes. As alterações no sono de alcoolistas, por exemplo, pode servir como alerta quanto a um risco de recaída, o que indica que a avaliação do sono não pode ser desconsiderada pelos profissionais, durante o tratamento destes pacientes. O relato dos sonhos, por sua vez, pode ser um instrumento terapêutico muito valioso por oferecer pistas a respeito do quanto o craving está presente naqueles que estão tentando manter-se em abstinência. Se os profissionais forem bem sucedidos quanto à identificação precoce de uma situação de risco como o craving, poderão ser mais efetivos quanto à prevenção da recaída. Conclui-se quanto à necessidade de que sejam feitas novas pesquisas a respeito dos sonhos de acordo com esta abordagem teórica, bem como avaliada a sua aplicação na área da dependência química.Este trabajo tiene como objetivo realizar uma revisión teórica a respecto del sueño y de los sueños de alcohólicos, teniendo en vista la Terapia Cognitivo-Comportamental, profundizando aspectos cognitivos y neurológicos. Em la medida en que éste es el abordaje psicoterápico más indicado para dependencia química, los sueños, utilizados en la Terapia psicoanalítica, tuvieron que ser estudiados sobre el enfoque cognitivo-comportamental, para que pudieran ser aprovechados en la clínica con estos pacientes. Las alteraciones em el sueño de los alcohólicos, por exemplo, pueden servir como alerta para el riesgo de recaída, lo que indica que una evaluaci

A FORMAÇÃO COMPORTAMENTAL DE AUDITORES CONTÁBEIS INDEPENDENTES: UM ESTUDO MULTICASO

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Luiz Alberton

2002-11-01

Full Text Available RESUMO
O presente artigo tem como objetivo apresentar uma proposta de um modelo de formação comportamental para auditores contábeis independentes. Deste modo, inicialmente, discorre-se sobre os aspectos que devem ser considerados pelo profissional responsável pela gestão das pessoas nas organizações que prestam serviços de auditoria contábil independente, e do perfil destas pessoas requerido pelas empresas. Em seguida são identificadas as teorias que tratam da gestão de pessoas nas organizações, especificamente nos processos de recrutamento e seleção, capacitação e avaliação de desempenho. As empresas buscam profissionais com talentos e, principalmente, que saibam manter o equilíbrio entre a razão e a emoção no ambiente de trabalho. Na literatura que versa sobre a profissão do auditor contábil, é dada muita ênfase aos aspectos técnicos, tratando superficialmente ou renegando os aspectos comportamentais considerados importantes ao desempenho destes profissionais. Para confirmar essas afirmações e dar suporte ao delineamento do modelo, é realizada uma pesquisa de campo com os responsáveis pela gestão de pessoas em quatro empresas internacionais de auditoria contábil independente, que fazem parte das big five, e em uma empresa nacional. Assim, para o delineamento do modelo de formação, a ênfase desta pesquisa recai sobre os aspectos de liderança, comunicação, motivação, negociação, coaching, mentoring, administração de conflitos, trabalho em equipe, técnica de entrevista, análise transacional e de programação neurolingüística, que podem ser utilizados para o desenvolvimento de auditores contábeis independentes, de forma que possam melhorar suas condições de competitividade e empregabilidade. Portanto, são incorporados esses conceitos como ponto de partida para o delineamento de um modelo de formação comportamental

Transtornos alimentares de ordem comportamental e seus efeitos sobre a saúde bucal na adolescência

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TRAEBERT Jefferson

2001-01-01

Full Text Available Anorexia nervosa é um distúrbio de ordem comportamental definido como inanição deliberada e auto-imposta seguida de busca constante de magreza e medo mórbido de engordar. Bulimia nervosa também é um distúrbio de comportamento caracterizada pela ingestão compulsiva de grande quantidade de alimentos, alternando-se com ações dirigidas a evitar ganho de peso, como por exemplo o vômito auto-induzido. A ocorrência destas doenças tem aumentado, embora não existam dados epidemiológicos de ordem populacional no Brasil. Tais distúrbios geram freqüentemente erosão dental devido ao ambiente bucal extremamente ácido resultante do comportamento dos pacientes. O cirurgião-dentista pode ser o primeiro profissional a detectar estas doenças. Assim, o objetivo deste trabalho é contribuir para a familiarização do cirurgião-dentista com os primeiros sinais e sintomas destas importantes doenças de ordem comportamental.

Terapia cognitivo-comportamental dos transtornos alimentares Cognitive-behavioural therapy of eating disorders

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Mônica Duchesne

2002-12-01

Full Text Available A terapia cognitivo-comportamental é uma intervenção breve, semi-estruturada e orientada para metas, que tem sido amplamente utilizada nos centros de pesquisa e tratamento de transtornos alimentares. O presente artigo tem por objetivo descrever as principais estratégias cognitivas e comportamentais utilizadas no tratamento ambulatorial dos transtornos alimentares. Vários ensaios clínicos avaliaram a eficácia da terapia cognitivo-comportamental, indicando que ela favorece a remissão ou diminuição da freqüência de episódios de compulsão alimentar, dos comportamentos purgativos e da restrição alimentar. Tem sido relatada também melhora do humor, do funcionamento social, e diminuição da preocupação com peso e formato corporal.The cognitive-behavioural therapy is a brief, semi-structured and goal oriented intervention, which has been largely used in research and treatment centers specialized on eating disorders. The present article describes the main cognitive and behavioral strategies used in the outpatient treatment of eating disorders. Several clinical studies assessed the effectiveness of cognitive-behavioural therapy, indicating the remission or the reduction of the frequency of binge eating episodes, purgative behaviours and food restriction. Social and mood improvement, as well as reduction of weight and body shape concerns, have also been reported.

Comparação entre os métodos Fuzzy TOPSIS e Fuzzy AHP no apoio à tomada de decisão para seleção de fornecedores

OpenAIRE

Francisco Rodrigues Lima Junior

2013-01-01

A seleção de fornecedores tem impacto significante no custo e na qualidade de produtos manufaturados. Por isso, a seleção de fornecedores passou a ser vista como uma atividade bastante crítica para o desempenho da empresa compradora. Muitos estudos da literatura propõem o uso dos métodos multicritério fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) e fuzzy AHP (Analytic Hierarchy Process) para apoiar a seleção de fornecedores. Contudo, não são encontrados estu...

Terapia comportamental cognitiva: uma comparação entre perspectivas

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Rachel Rodrigues Kerbauy

Full Text Available A Terapia Comportamental Cognitiva desenvolveu-se a partir de dados e maneiras de trabalhar da Terapia Cognitiva e da Terapia Comportamental. Essas origens e as várias influências parecem determinar maneiras diferentes de conduzir a terapia o que se procurou analisar neste trabalho. Optou-se pela apresentação do trabalho de três autores: Ellis, Beck e Meichembaum como representativos da área embora se reconheça que há diferenças entre algumas concepções e também unanimidade na explicação de comportamentos, especialmente emocionais.

Terapia comportamental construtiva: uma outra face da clínica comportamental

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Luc Vandenberghe

2007-12-01

Full Text Available Este artigo apresenta a terapia comportamental construtiva conforme elaborada por Beata Bakker-de Pree. A abordagem, desenvolvida nos Países Baixos, traz uma filosofia do processo terapêutico que é compatível com a de várias terapias comportamentais conhecidas. Acrescenta uma perspectiva valiosa em sua descrição explícita de alguns ingredientes importantes do trabalho clínico, que não estão em destaque nos outros modelos comportamentais, sendo estas a técnica de diferenciação livre e a análise funcional do comportamento saudável do cliente.

Validação do teste Need For Cognition: um estudo em contabilidade comportamental

OpenAIRE

Lima Filho, Raimundo Nonato; Bruni, Adriano Leal; Menezes, Igor Gomes

2013-01-01

Este estudo teve como objetivo validar a escala Need For Cognition (NFC) em estudos em Contabilidade comportamental. Ademais, buscou-se medir possíveis correlações entre o nível de necessidade de cognição e a existência de vieses cognitivos em decisões contábeis e financeiras. Para efetivar o processo de validação completo, foram realizadas duas validações - critério e construto. A análise foi feita mediante a apreciação de uma amostra formada por 128 estudantes de pós-graduação. A técnica es...

Apoio comportamental positivo: estratégias educacionais aplicadas a comportamentos-problema de alunos

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Karyne de Souza Augusto Rios

Full Text Available Baseado no modelo de Apoio Comportamental Positivo o estudo objetivou identificar como 40 diretores de escolas de educação infantil descreviam o processo de elaboração, aplicação e avaliação de estratégias educativas para comportamentos-problema de alunos. Resultados do questionário apontaram que 77,5% dos diretores indicaram comportamentos-problema em seus alunos. As estratégias educativas mais utilizadas foram conversar com a criança (13,3% e conversar com pais (13,3%. A ação mais utilizada para a avaliação foi a observação da criança (27,6%. De forma geral, verificou-se que as estratégias utilizadas foram realizadas informal e assistematicamente. Aponta-se a necessidade de pesquisas sobre a inclusão de crianças com comportamentos-problema e o desafio de repensar a formação dos educadores.

Efeitos de Intervenção Cognitivo-Comportamental sobre Fatores de Risco Psicológicos em Cardiopatas

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Ricardo Gorayeb

Full Text Available RESUMODiminuir fatores de risco para cardiopatias pode melhorar a qualidade de vida e reduzir a mortalidade e morbidade relacionadas a elas.O presente estudo avaliou a eficácia de uma intervenção cognitivo-comportamental em grupo sobre ansiedade, depressão, estresse e saúde cardiovascular em cardiopatas. Foram avaliados 91 pacientes antes e após participação nos grupos, com entrevistas semiestruturadas, Inventários Beck (Ansiedade e Depressão e Inventário de Sintomas de Stress para Adultos de Lipp. Coletaram-se medidas fisiológicas para cálculo do escore de Framingham. A participação no grupo resultou em redução dos sintomas de ansiedade, depressão, estresse e melhora do enfrentamento ao estresse. Não houve diferença no escore de Framingham. A intervenção se mostrou eficaz para a redução dos fatores de risco psicológicos nessa amostra.

Terapia cognitivo-comportamental da depressão Cognitive-behavioral therapy for depression

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Vania Bitencourt Powell

2008-10-01

Full Text Available OBJETIVO: Descrever o uso de técnicas cognitivas e revisar os estudos de eficácia da terapia cognitivo-comportamental no tratamento da depressão. MÉTODO: Revisão não-sistemática proveniente dos estudos originais, complementada por informações provenientes de metanálises e livros-texto especializados. RESULTADOS: Foram descritos os fundamentos da terapia cognitivo-comportamental no tratamento da depressão e revisadas as evidências de eficácia em curto e longo prazo. Discutimos igualmente o uso de tratamento farmacológico concomitante à terapia cognitivo-comportamental. CONCLUSÕES: A terapia cognitivo-comportamental é uma das abordagens que apresentam mais evidências empíricas de eficácia no tratamento da depressão, quer oferecida de forma isolada ou em combinação com farmacoterapia.OBJECTIVE: To describe the use of cognitive techniques and to review studies on the efficacy of CBT in the treatment of depression. METHOD: A non-systematic review of the literature of original studies complemented with data from meta-analyses and specialized textbooks. RESULTS: The fundamentals of cognitive-behavioral therapy in the treatment of depression are described and the evidence of short- and long-term efficacy is reviewed. The use of pharmacological therapy in conjunction with CBT is also discussed. CONCLUSIONS: CBT in the treatment of depression is one of the therapeutic modalities with the highest empirical evidence of efficacy, whether applied alone or in combination with pharmacotherapy.

Adding motivational interviewing and thought mapping to cognitive-behavioral group therapy: results from a randomized clinical trial Adicionando a entrevista motivacional e o mapeamento cognitivo à terapia cognitivo-comportamental em grupo: resultados de um ensaio clínico randomizado

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Elisabeth Meyer

2010-03-01

Full Text Available OBJECTIVE: Recent factor-analytic studies of obsessive-compulsive disorder identified consistent symptom dimensions. This study was designed in order to observe which obsessive compulsive symptom dimensions could be changed by adding two individual sessions of motivational interviewing and thought mapping of cognitive-behavioral group therapy using a randomized clinical trial. METHOD: Forty outpatients with a primary diagnosis of obsessive-compulsive disorder were randomly assigned to receive cognitive-behavioral group therapy (control group or motivational interviewing+thought mapping plus cognitive-behavioral group therapy. To evaluate changes in symptomdimensions, the Dimensional Yale-Brown Obsessive-Compulsive Scale was administered at baseline and after treatment. RESULTS: At post-treatment, there were statistically significant differences between cognitive-behavioral group therapy and motivational interviewing+thought mapping+cognitivebehavioral group therapy groups in the mean total Dimensional Yale-Brown Obsessive-Compulsive Scale score, and in the contamination and aggression dimension score. Hoarding showed a statistical trend towards improvement. CONCLUSION: These findings suggest that adding motivational interviewing+thought mapping to cognitive-behavioral group therapy can facilitate changes and bring about a decrease in the scores in different obsessive-compulsive disorder symptom dimensions, as measured by the Dimensional Yale-Brown Obsessive-Compulsive Scale. Nonetheless, additional trials are needed to confirm these results.OBJETIVO: Recentes estudos utilizando análise fatorial no transtorno obsessivocompulsivo identificaram dimensões consistentes dos sintomas. Este estudo foi delineado para observar quais dimensões dos sintomas obsessivo-compulsivos podem ser modificadas adicionando duas sessões individuais de entrevista motivacional e mapeamento cognitivo à terapia cognitivo-comportamental em grupo usando um ensaio cl

Enfoque MDA para el diseño de un data warehouse difuso A model driven approach for fuzzy data warehouse design

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Carolina Zambrano Matamala

2012-04-01

Full Text Available Un data warehouse (DW es un repositorio de datos que provienen de distintas fuentes. Es un sistema para el análisis de datos usado para el apoyo a la toma de decisiones. En el ámbito de análisis de datos es usual encontrar relaciones entre los datos de naturaleza difusa. Por ejemplo, en un contexto académico la respuesta a la consulta "qué alumnos obtuvieron buena nota final" no puede ser obtenida desde un DW tradicional pues no maneja información cualitativa. Debido a las limitaciones de los DW tradicionales es que se pueden extender usando lógica difusa a un DW Difusos (DWD. Por otro lado, en el ciclo de desarrollo de DW se han considerado diversas metodologías y modelos que tienen como desventaja que no integran los distintos niveles de abstracción ni el proceso de diseño de DW. Sin embargo, el enfoque MDA es una alternativa de integración que otorga un marco de desarrollo integrado basado en la arquitectura de modelos y transformaciones entre distintos niveles de abstracción, que la hace adecuada para este tema. En este artículo se presenta un enfoque MDA para el diseño de un DWD que considera medidas difusas, relaciones difusas y niveles difusos, para lo cual se proponen un metamodelo CWM OLAP Difuso, reglas QVT y un ejemplo. También se presenta la secuencia metodológica para la aplicación de las reglas QVT. Finalmente, se proporciona un caso de estudio de análisis en el ámbito educacional.A Data Warehouse (DW is a repository of data from different sources. Is a system for data analysis used to support decision making. In the area of data analysis is common to find relationships between data from fuzzy nature. In this context, the questions give me the marks quantity of good, average and bad cannot be obtained from the traditional DW because do not handle as qualitative information. Due to the limitations of traditional DW is that it can be extended to Fuzzy DW (DWD using fuzzy logic. On the other hand in the DW

Comparison between genetic fuzzy system and neuro fuzzy system to select oil wells for hydraulic fracturing; Comparacao entre genetic fuzzy system e neuro fuzzy system para selecao de pocos de petroleo para fraturamento hidraulico

Energy Technology Data Exchange (ETDEWEB)

Castro, Antonio Orestes de Salvo [PETROBRAS, Rio de Janeiro, RJ (Brazil); Ferreira Filho, Virgilio Jose Martins [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil)

2004-07-01

The hydraulic fracture operation is wide used to increase the oil wells production and to reduce formation damage. Reservoir studies and engineer analysis are made to select the wells for this kind of operation. As the reservoir parameters have some diffuses characteristics, Fuzzy Inference Systems (SIF) have been tested for this selection processes in the last few years. This paper compares the performance of a neuro fuzzy system and a genetic fuzzy system used for hydraulic Fracture well selection, with knowledge acquisition from an operational data base to set the SIF membership functions. The training data and the validation data used were the same for both systems. We concluded that, in despite of the genetic fuzzy system would be a younger process, it got better results than the neuro fuzzy system. Another conclusion was that, as the genetic fuzzy system can work with constraints, the membership functions setting kept the consistency of variables linguistic values. (author)

Implementación de una estrategia fuzzy adaptativa para el control activo de vigas vibratorias

OpenAIRE

Moreno-García, Francisco Ernesto; Becerra-Vargas, José Armando; Cárdenas-Contreras, Edwin Martín

2014-01-01

Este trabajo propone un control activo de vibraciones en un sistema mecánico tipo viga en voladizo, utilizando un controlador fuzzy implementado en LabVIEW. Para la etapa de medición se utiliza un acelerómetro capacitivo capaz de detectar el desplazamiento presentado en la estructura debido a una fuerza generada mediante un impactador instrumentado con un sensor piezorresistivo. Para la implementación computacional es utilizado el software LabVIEW operando en conjunto con una tarjeta de adqui...

Diagnóstico e intervenção clínica comportamental infantil: uma breve revisão

OpenAIRE

Miyazaki,Maria Cristina O. S.; Silvares,Edwiges F.M.

1997-01-01

Alguns transtornos da infância e da adolescência são discutidos, sob um enfoque comportamental, e com a utilização de critérios para diagnóstico do DSM-IV. São fornecidos dados da literatura acerca da manifestação, prevalência, etiologia e prognóstico dos seguintes transtornos: Autismo, Transtorno de Déficit de Atenção/Hiperatividade, Transtornos do Humor (Depressão Maior e Distimia), da Ansiedade (Fobia Específica e Transtorno de Ansiedade de Separação) e de Expulsão (Enurese e Encoprese). E...

A FORMAÇÃO COMPORTAMENTAL DE AUDITORES CONTÁBEIS INDEPENDENTES: UM ESTUDO MULTICASO [doi: 10.5329/RECADM.20020102004

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Luiz Alberton

2002-11-01

Full Text Available RESUMO O presente artigo tem como objetivo apresentar uma proposta de um modelo de formação comportamental para auditores contábeis independentes. Deste modo, inicialmente, discorre-se sobre os aspectos que devem ser considerados pelo profissional responsável pela gestão das pessoas nas organizações que prestam serviços de auditoria contábil independente, e do perfil destas pessoas requerido pelas empresas. Em seguida são identificadas as teorias que tratam da gestão de pessoas nas organizações, especificamente nos processos de recrutamento e seleção, capacitação e avaliação de desempenho. As empresas buscam profissionais com talentos e, principalmente, que saibam manter o equilíbrio entre a razão e a emoção no ambiente de trabalho. Na literatura que versa sobre a profissão do auditor contábil, é dada muita ênfase aos aspectos técnicos, tratando superficialmente ou renegando os aspectos comportamentais considerados importantes ao desempenho destes profissionais. Para confirmar essas afirmações e dar suporte ao delineamento do modelo, é realizada uma pesquisa de campo com os responsáveis pela gestão de pessoas em quatro empresas internacionais de auditoria contábil independente, que fazem parte das big five, e em uma empresa nacional. Assim, para o delineamento do modelo de formação, a ênfase desta pesquisa recai sobre os aspectos de liderança, comunicação, motivação, negociação, coaching, mentoring, administração de conflitos, trabalho em equipe, técnica de entrevista, análise transacional e de programação neurolingüística, que podem ser utilizados para o desenvolvimento de auditores contábeis independentes, de forma que possam melhorar suas condições de competitividade e empregabilidade. Portanto, são incorporados esses conceitos como ponto de partida para o delineamento de um modelo de formação comportamental de auditores contábeis independentes.

Implementación de una estrategia fuzzy adaptativa para el control activo de vigas vibratorias

OpenAIRE

Francisco Ernesto Moreno-García; José Armando Becerra-Vargas; Edwin Martín Cárdenas-Contreras

2014-01-01

Este trabajo propone un control activo de vibraciones en un sistema mecánico tipo viga en voladizo, utilizando un controlador fuzzy implementado en LabVIEW. Para la etapa de medición se utiliza un acelerómetro capacitivo capaz de detectar el desplazamiento presentado en la estructura debido a una fuerza generada mediante un impactador instrumentado con un sensor piezorresistivo. Para la implementación computacional es utilizado el software LabVIEW operando en conjunto con una tarjeta de adqui...

Predictors of relapse in the second follow-up year post cognitive-behavior therapy for panic disorder Preditores de recaída no segundo ano após terapia cognitivo-comportamental para pacientes com transtorno de pânico

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Elizeth Heldt

2011-03-01

Full Text Available OBJECTIVE: To investigate predictors of relapse two years after a brief cognitive-behavior group therapy in patients with panic disorder who had failed to respond to pharmacologic treatment. METHOD: A total of 56 patients with panic disorder were followed who had met remission criteria at 1 year evaluation after 12 sessions of cognitive-behavior group therapy. Demographic and clinical features and life stressors were investigated as predictors of relapse. RESULTS: At the 2 year assessment, 39 (70% patients maintained remission status and use of medication was reduced significantly, such that 36 (64% patients were not undergoing any psychiatric treatment. Among all independent variables investigated, only "conflict" as a stressful life event, RR = 3.20 (CI95% 1.60; 7.20 - p = 0.001, and the severity or residual anxiety symptoms, RR = 3.60 for each scale point (CI95% 1.02; 1.08 - p OBJETIVO: Investigar os preditores de recaída após dois anos de terapia cognitivo-comportamental em grupo breve para pacientes com transtorno do pânico que não responderam ao tratamento farmacológico. MÉTODO: Um total de 56 pacientes com transtorno do pânico que preencheram os critérios de remissão em um ano de avaliação após as 12 sessões da terapia cognitivo-comportamental em grupo foram acompanhados. As características demográficas, clínicas e os estressores de vida foram investigados como preditores de recaída. RESULTADOS: No segundo ano de avaliação, 39 (70% pacientes mantiveram-se em remissão e o uso de medicação reduziu significativamente, de tal forma que 36 (64% pacientes não estavam em tratamento psiquiátrico. Entre todas as variáveis independentes investigadas, somente o "conflito" como evento estressor de vida, RR = 3,20 (CI95% 1,60; 7,20 - p = 0,001 e a gravidade ou os sintomas residuais de ansiedade, RR = 3,60 para cada ponto a mais da escala (CI95% 1,02; 1,08 - p < 0,001, foram preditores de recaída. CONCLUSÃO: A despeito dos

Potenciais biomarcadores da terapia cognitivo-comportamental para o transtorno de estresse pós-traumático: uma revisão sistemática

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Raquel Gonçalves

2011-01-01

Full Text Available CONTEXTO: O estabelecimento de biomarcadores relacionados à terapia cognitivo-comportamental (TCC é uma maneira de consolidar a eficácia do tratamento de forma mais objetiva, sendo crítico para o avanço desse campo de pesquisa. OBJETIVOS: Foi realizada uma revisão sistemática de estudos que: 1 utilizaram parâmetros biológicos para verificar a eficácia da TCC no tratamento do transtorno de estresse pós-traumático (TEPT; e 2 utilizaram esses parâmetros como preditores de resposta à CBT. MÉTODOS: Foram conduzidas buscas eletrônicas nas bases PubMed/Medline, ISI/Thompson Reuters e Pilot. RESULTADOS: Doze artigos foram selecionados para esta revisão, sendo quatro deles estudos sobre predição de resposta ao tratamento. Foi observada relação entre a eficácia da TCC e modificações nesses parâmetros, sendo a resposta da frequência cardíaca à evocação de sintomas o parâmetro mais utilizado até o presente momento. Sua redução está associada à melhora nos sintomas de TEPT. Potenciais biomarcadores de predição de resposta encontrados incluem 5α-redutase, ativação da amígdala, ativação e volume do córtex cingulado anterior e frequência cardíaca. CONCLUSÃO: Apesar da escassez de estudos e das limitações metodológicas neles observadas, investigações iniciais sugerem que os biomarcadores da TCC em pacientes com TEPT poderão ser úteis para o monitoramento mais objetivo dos efeitos do tratamento, identificação de predição de resposta e para o desenvolvimento de estratégias mais eficazes de tratamento e prevenção do desenvolvimento de TEPT.

Validação do teste Need For Cognition: um estudo em contabilidade comportamental Validación de la prueba need for cognition: un estudio en contabilidad comportamental Validation of the test need for cognition: a study in behavioral accounting

OpenAIRE

Raimundo Nonato Lima Filho; Adriano Leal Bruni; Igor Gomes Menezes

2013-01-01

Este estudo teve como objetivo validar a escala Need For Cognition (NFC) em estudos em Contabilidade comportamental. Ademais, buscou-se medir possíveis correlações entre o nível de necessidade de cognição e a existência de vieses cognitivos em decisões contábeis e financeiras. Para efetivar o processo de validação completo, foram realizadas duas validações - critério e construto. A análise foi feita mediante a apreciação de uma amostra formada por 128 estudantes de pós-graduação. A técnica es...

Emociones y toma de decisiones desde la economía comportamental

OpenAIRE

De Mier, Susana

2013-01-01

Los recientes estudios de la economía comportamental sobre cómo inciden los sentimientos y las emociones en el proceso de toma de decisiones ponen en debate el principio de la racionalidad económica, sostén de la doctrina liberal.

Implementación de un control fuzzy para el control cinemático directo en un robot manipulador Implementation of a fuzzy control for the direct kinematic control of a robot manipulator

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D.A Tibaduiza

2011-12-01

Full Text Available En este artículo se muestra el desarrollo e implementación de la lógica difusa como herramienta de control de posición para cada una de las articulaciones de un robot tipo PUMA. Se hace una descripción general del robot y se muestra el cálculo del volumen de trabajo, el cual es usado para la fuzzificación en el desarrollo del controlador. Finalmente es mostrado el desarrollo y la simulación del controlador usando la toolbox fuzzy de Matlab, así como la descripción de una implementación realizada en un PLC.In this article, the development and implementation of a fuzzy logic system as position control tool of each one of the joints in a PUMA robot is shown. A general description, which include general descriptions about the robot as workspace and therefore the development of the strategy of control with the definition of the rules in the fuzzification process is also included. Finally are shown the development and simulation of the controller using the fuzzy control toolbox of Matlab and the description of a implementation in a PLC.

Avaliação comportamental de uma amostra de doentes com excesso de peso/Obesidade : Trabalho de Investigação : Behavioral evaluation of a sample of overweight/Obese patients

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Jardim, Joana Sofia Pacheco

2009-01-01

Resumo da tese: Introdução: O tratamento da obesidade tem revelado elevadas taxas de insucesso, sobretudo devido à falta de adesão do doente à terapia dietética. A motivação do doente para mudar o seu estilo de vida é o factor decisivo para o sucesso da terapêutica da obesidade. O Modelo Transteórico permite avaliar o nível motivacional dos indivíduos através da avaliação dos estádios de mudança comportamental e poderá ser uma ferramenta útil para uma intervenção mais personalizada. Na invest...

Fuzzy ABC: Modelando a Incerteza na Alocação dos Custos AmbientaisFuzzy ABC: Modeling the Uncertainty in Environmental Cost AllocationFuzzy ABC: Modelando la Incertidumbre en la Alocation de los Costos Ambientales

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BORBA, José Alonso

2007-05-01

Full Text Available RESUMOEm muitos casos, prevenir a poluição e a destruição do meio ambiente é menos oneroso do que remediar esses danos. Nesse contexto, a alocação de custos ambientais aos produtos permite uma melhor visualização e análise da rentabilidade dos produtos. Entretanto, a alocação dos custos ambientais aos produtos envolve informações estimadas e assume uma linearidade entre o consumo das atividades e os produtos, que muitas vezes não existe. Para contemplar essa não linearidade, esta pesquisa apresenta uma metodologia baseada na utilização da lógica fuzzy para modelar a incerteza e a subjetividade, inerentes ao processo de alocação dos custos ambientais. Para isso, além de um estudo de caso desenvolvido por Hansen e Mowen (2001, p. 584, que foi utilizado como referência, outras variáveis foram incorporadas. Em seguida, uma proposta de solução, que utiliza fundamentos da teoria dos conjuntos fuzzy, ou nebulosos, foi desenvolvida com o objetivo de contemplar a subjetividade e a incerteza na alocação dos custos ambientais. Para simular esse modelo, foram estabelecidas 126 regras de inferência. A etapa final da elaboração do modelo nebuloso consistiu na fuzzificação e defuzzificação dos dados existentes e dos novos direcionadores gerados por intermédio da utilização do software FuzzyTECH®. Os resultados encontrados no modelo proposto - FuzzyABC (Fuzzy Activity Based Costing - evidenciam que a lógica fuzzy pode ser utilizada como uma importante ferramenta para tratar da ambigüidade e da incerteza, inerentes ao processo de alocação dos custos ambientais.ABSTRACTIn many cases, preventing pollution and environmental destruction is cheaper than remedying these damages. In this sense, environmental cost allocation enables a better visualization and analysis of a product’s profitability. However, the environmental allocation process involves estimated information and assumes linearity between activity consumption

EFECTOS DE UN PROGRAMA COGNITIVO COMPORTAMENTAL SOBRE LOS NIVELES DE ESTRÉS Y GLUCEMIA EN PACIENTES CON DIABETES MELLITUS TIPO II

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Delgado Maigual, Luis Carlos; Hidalgo Villarreal, Guillermo Andrés; Villalobos Galvis, Fredy Hernán

2011-01-01

En este estudio se determinaron los efectos de la aplicación de un programa cognitivo-comportamental sobre los niveles de estrés y glucemia en pacientes con diabetes mellitus tipo II de la Fundación Hospital San Pedro de San Juan de Pasto. Para ello, se determinaron los niveles de estrés y glucemia antes de la aplicación del programa de intervención; luego se diseñó y aplicó el programa a los participantes (el cual está sustentado en el modelo procesual de estrés de Lazarus y Folkman) y final...

Transtorno do pânico: investigação sobre alterações de relato em terapia analítico-comportamental.

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Siebert, Graziela

2006-01-01

O Transtorno do Pânico é um dos mais freqüentes e incapacitantes problemas dentre os transtornos ansiosos, representando um dos motivos de maior procura dos serviços de saúde no Brasil e no mundo. A Terapia Analítico-Comportamental constitui uma proposta com resultados bastante satisfatórios para seu tratamento, e seu enfoque é o esclarecimento da relação entre os sintomas sentidos e descritos pelo cliente e as contingências em operação, das quais seus comportamentos são função. A completa re...

Avaliação simplificada e comportamental do processamento auditivo em escolares: estabelecendo relações

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Gabriela Camargo Vargas

2014-08-01

Full Text Available Objetivo caracterizar o processamento auditivo de escolares que falharam na avaliação simplificada do processamento auditivo e comparar esses achados com os resultados na avaliação comportamental do processamento auditivo. Métodos realizou-se a avaliação audiológica básica (audiometria tonal e vocal e medidas de imitância acústica, bateria comportamental do processamento auditivo composta pelos testes PSI (Pediatric Speech Intelligibility versão em português, PPS (Pitch Pattern Sequence, MLD (Masking Level Difference, SSW (Stagged Spondaic Words versão em português e GIN (Gap in Noise e reteste da avaliação simplificada do processamento auditivo com escolares de 9 a 14 anos, matriculados entre o 4º ano e a 8ª série do ensino fundamental de uma escola de ensino público de Porto Alegre. Resultados dos 11 escolares avaliados que falharam na avaliação simplificada, 10 (90,9% apresentaram alterações na bateria comportamental do processamento auditivo. Os subperfis com maior número de alterações foram os de decodificação e integração, as habilidades auditivas mais prejudicadas foram de interação binaural e separação e integração binaural concomitantemente. Não houve associação significante entre as tarefas da avaliação simplificada e os testes da bateria comportamental ao comparar o mesmo correlato neurofisiológico ou tarefa semelhante. Conclusão foi possível caracterizar o processamento auditivo dos escolares avaliados. A partir da comparação entre a avaliação simplificada e a bateria comportamental verificou-se que a avaliação simplificada pode ser um preditor sensível às alterações de processamento auditivo, apesar de não se identificar associação específica entre as habilidades comparadas.

Itervenção cognitivo-comportamental em violência sexual: estudo de caso Itervención de cognitivo-comportamental en un caso de violencia sexual Cognitive-behavior intervention with sexual violence: case report

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Eliane Regina Lucânia

2009-12-01

Full Text Available Violência sexual é um grave problema de saúde pública, pois atinge todas as classes sociais, etnias, religiões e culturas, em especial crianças e adolescentes do sexo feminino. O objetivo do presente estudo é relatar o impacto de uma intervenção cognitivo-comportamental em uma adolescente de 13 anos, vítima de tentativa de estupro. O processo, de 45 sessões, distribuídas em avaliação inicial, intervenção, avaliação final e follow-up, utilizou entrevista semidirigida, critérios diagnósticos do DSM-IV, o Inventário de Depressão para Crianças (CDI, técnicas cognitivo-comportamentais e orientações à mãe. Na avaliação inicial verificaram-se dificuldades escolares, problemas comportamentais, sintomas indicativos de estresse pós-traumático e sintomas moderados de depressão, intensificados pelo episódio da violência. Observaram-se também repetições de padrões transgeracionais: comportamento promíscuo, etilismo, violência sexual e instabilidade nos relacionamentos. Os resultados demonstraram redução das queixas iniciais, aquisição de novo repertório comportamental, melhor funcionamento psicossocial e impacto positivo da intervenção. Os dados indicam necessidade de inclusão dos familiares no processo.La violencia sexual es un problema grave de la salud pública: alcanza todas las clases sociales etnias, religiones y culturas, en especial niños y adolescentes del sexo feminino. El objetivo del actual estudio es decir el impacto de la intervención cognitivo-comportamental en una adolescente de 13 años, víctima de un intento de violación. El proceso, de 45 sesiones, distribuido en la evaluación inicial, intervención, evaluación final y acompanãmiento, entrevista semidirigida, criterios diagnósticos del DSM-IV, inventario de depresión para los niños (CDI, técnicas cognitivo-comportamentales y orientación con la madre. En la primera entrevista fueron diagnosticadas dificultades en la escuela

Choking phobia: full remission following behavior therapy Fobia de deglutição: remissão com terapia comportamental

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Silvia Scemes

2009-09-01

Full Text Available OBJECTIVE: A phobic behavior pattern is learned by classical and operant conditioning mechanisms. The present article reviews the main determinants of choking phobia etiology and describes the behavior therapy of an adult patient. METHOD: Psychoeducation, functional analysis, and graded exposure to aversive stimuli were used to treat the patient, after extensive psychiatric and psychological assessment. Ingesta and anxiety levels were measured along treatment and at follow-up. RESULTS: A multiple assessment baseline design was used to demonstrate the complete remission of symptoms after seven sessions, each of them exposing the patient to a different group of foods. CONCLUSION: Psychoeducation and exposure were critical components of a successful choking phobia treatment.OBJETIVO: O padrão comportamental da fobia é adquirido com base no condicionamento clássico e mecanismos operantes de aprendizagem. Este artigo faz uma revisão dos principais determinantes da etiologia da fobia de deglutição e descreve o tratamento da terapia comportamental em uma paciente adulta. MÉTODO: Foram usadas psicoeducação, análise funcional e gradativa exposição a estímulos aversivos no tratamento da paciente, depois de uma extensiva avaliação psiquiátrica e psicológica. Níveis de ingesta e ansiedade foram medidos ao longo de todo o tratamento e no follow-up. RESULTADOS: Para demonstrar a completa remissão dos sintomas, após sete sessões de exposição a diferentes grupos de alimentos foi usado um delineamento de linha de base de avaliações múltiplas. CONCLUSÃO: Terapia de exposição e psicoeducação foram componentes que contribuíram de modo crítico para a obtenção de resultados positivos ao tratamento.

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

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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

Un algoritmo fuzzy para la selección de personal basado en agregación de competencias

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Liern Carrión, Vicente

2007-01-01

Full Text Available En este trabajo presentamos un sistema de ayuda a la decisión útil para la selección de personal en la empresa. Utilizando como base la teoría de conjuntos fuzzy y la gestión por competencias, desarrollamos un método que permite ordenar los candidatos a ocupar una vacante en varias situaciones.

Aproximación neuro-fuzzy para identificación de señales viales mediante tecnología infrarroja

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G.N. Marichal

2007-04-01

Full Text Available Resumen: En este artículo se presenta un sistema basado en tecnología infrarroja para la clasificación de marcas viales empleando un sistema Neuro-Fuzzy como herramienta de clasificación. El sistema se ha testeado a partir de los datos suministrados cuando se ha instalado un prototipo en un robot móvil. Los resultados obtenidos son explicados en este artículo, haciendo hincapié en el diseño de nuevas reglas y la mejoría lograda mediante los métodos propuestos. Palabras clave: Control Inteligente, Robótica, Navegación de robots, Sistemas Neuro-Fuzzy

Alterações Neurobiológicas Verificadas a partir do Tratamento com Terapia Cognitivo-comportamental no Transtorno Obsessivo-Compulsivo

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Priscila Assumpção Fernandes

Full Text Available RESUMO Hipóteses neurobiológicas sobre o Transtorno Obsessivo-Compulsivo (TOC sugerem alterações funcionais e anatômicas em determinadas áreas cerebrais relacionadas aos sintomas. Evidências indicam que a Terapia Cognitivo-Comportamental (TCC é eficaz para o tratamento do TOC e capaz de modular padrões neurais disfuncionais. O presente estudo objetivou descrever as alterações neurobiológicas promovidas pela TCC para o TOC. Realizou-se uma revisão sistemática, cuja amostra final correspondeu a cinco estudos. Em todos, houve melhora significativa do TOC e alterações neurobiológicas após a TCC, tais como redução da atividade e volume no córtex orbitofrontal, aumento da atividade no córtex cingulado anterior, tálamo e núcleo caudado. A TCC mostrou-se capaz de modular neurocircuitos envolvidos no TOC.

Modelo conceptual de datos difusos de triaje para emergencia hospitalaria representado con FuzzyEER

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Wuilfredo Rangel

2010-05-01

Full Text Available El triaje de emergencia persigue desarrollar el proceso de valorización clínica preliminar para ordenar los pacientes según el nivel de urgencia o gravedad, antes de la atención médica, de forma que en una condición de saturación del servicio o disminución de recursos, los pacientes más graves sean tratados con prioridad. Un proceso de triaje presenta un alto grado de imprecisión o incertidumbre al momento de expresar el estado de salud de un paciente, en consecuencia puede haber dificultad y riesgo en la clasificación de las urgencias. En los servicios de emergencias de loshospitales públicos venezolanos, en especial el servicio de emergencia del Hospital Universitario de Caracas (HUC, seha evidenciado un incremento en el número de casos que se atienden, siendo una constante la saturación del servicio, lo cual imposibilita que los pacientes con prioridad de atención, sean tratados más rápidamente de forma oportuna y eficaz. En este trabajo se propone un modelo conceptual de datos difuso de triaje para el sector salud venezolano basado en el proceso de triaje hospitalario de la Sociedad Venezolana de Medicina de Emergencia y Desastres (SVMED, ya que un modelo de datos que contemple la representación de atributos difusos puede representar de mejor forma los requerimientos del sistema. El modelo propuesto utiliza la notación Entidad Relación con elementos difusos (FuzzyEER para la representación de las entidades y atributos con imprecisión. Dicho modelo será la base de un sistema automatizado de triaje que hará uso del lenguaje de consultas difusas FSQL (Fuzzy SQL.

Sistema fuzzy para estimativa do bem-estar de matrizes pesadas System fuzzy for estimate of welfare of broiler breeders

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Danilo F. Pereira

2008-12-01

Full Text Available Entender o comportamento e suas pequenas variações decorrentes das mudanças do ambiente térmico e desenvolver modelos que simulem o bem-estar a partir de respostas das aves ao ambiente constituem o primeiro passo para a criação de um sistema de monitoramento digital de aves em galpões de produção. Neste trabalho, foi desenvolvido um sistema de suporte à decisão com base na teoria dos conjuntos fuzzy para a estimativa do bem-estar de matrizes pesadas em função de frequências e duração dos comportamentos expressos pelas aves. O desenvolvimento do sistema passou por cinco etapas distintas: 1 organização dos dados experimentais; 2 apresentação dos vídeos em entrevista com "especialista"; 3 criação das funções de pertinência com base nas entrevistas e na revisão da literatura; 4 simulação de frequências de ocorrências e tempos médios de expressão dos comportamentos classificados como indicadores de bem-estar utilizando equações de regressão obtidas na literatura, e 5 construção das regras, simulação e validação do sistema. O sistema fuzzy desenvolvido estimou satisfatoriamente o bem-estar de matrizes pesadas, tendo na sua última versão, com maior número de regras, acertado 77,8% dos dados experimentais, comparados com as respostas esperadas por um especialista. O sistema pode ser utilizado como instrumento matemático-computacional para apoiar decisões em galpões de produção de matrizes pesadas.To understand the behavior and its small variations originated from changes of the thermal environment and to develop models that simulate the welfare from broiler breeders' answer to the environment constitute the first step for the creation of a system for digital monitoring of broiler breeders housing. In this paper it was developed a system of decision support based on the fuzzy conjuncts' theory to estimate the welfare of broiler breeders in function of frequencies and times of occurrences of behaviors. The

Lógica nebulosa para avaliar riscos na auditoria Fuzzy logic for risk assessment in auditing

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Jerônimo Antunes

2006-08-01

Full Text Available A avaliação dos riscos de que os controles internos de uma entidade possam falhar constitui-se em significativo desafio para os auditores independentes de demonstrações contábeis. As metodologias de trabalho empregadas para tal finalidade, normalmente, utilizam a lógica clássica, ou também denominada binária, presumindo que os fatores de riscos estão presentes, ou não, em um determinado tipo de processo de controle. O objetivo deste trabalho foi conceber um modelo de avaliação de risco dos controles internos de uma entidade utilizando a lógica nebulosa (fuzzy logic, para contemplar os elementos difusos que compõem os fatores desse tipo de risco analisados na auditoria de demonstrações contábeis. A validação conceitual do modelo concebido foi realizada por meio de entrevistas e debates com especialistas em auditoria de demonstrações contábeis e com consultas a bibliografias relevantes pertinentes. Como conclusão do estudo, ficou patente que o modelo de avaliação de risco, com o uso da lógica nebulosa, elimina a restrição binária da lógica clássica e permite tratar, de forma quantitativa, conceitos ambíguos através da aplicação de uma escala psicométrica, para refl etir predicados tais como: "muito bom", "bom", "razoável", "de grande importância", "de pouca importância" etc., tendo potencial para produzir resultados mais amplos e próximos da realidade.The assessment of the risks that an entity's internal control system may fail represents a significant challenge to independent auditors. The methodologies used to audit financial statements are usually supported by classical logic, also called binary logic, departing from the relatively simplistic premise that risk factors are either present or not in a certain kind of control process. This study aimed to conceive a risk assessment model for an entity's internal control system, using the fuzzy logic approach, to take into account the diffuse elements that

Terapia cognitivo-comportamental de transtornos de abuso de álcool e drogas Cognitive-behavioral therapy for alcohol and drug use disorders

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Bernard P Rangé

2008-10-01

Full Text Available OBJETIVO: Entre os diversos tipos de tratamentos aos quais as terapias cognitiva e comportamental têm sido aplicadas com sucesso encontra-se o uso em problemas de adicção. Este artigo, em parte, revê modelos de adicção como os de prevenção de recaídas de Marlatt e Gordon, o de Prochaska, DiClemente e Norcross sobre os estágios de mudança, com a derivação da entrevista motivacional, desenvolvida por Miller e Rollnick, bem como os modelos cognitivos de Beck et al. MÉTODO: Com base em evidências da literatura para o desenvolvimento de programas de tratamento efetivos, é descrito um modelo de tratamento em grupo que foi usado com grupos de alcoolistas encaminhados pela Divisão de Vigilância da Saúde do Trabalhador da Universidade Federal do Rio de Janeiro para o Centro de Pesquisa e Reabilitação do Alcoolismo. RESULTADOS: Os resultados são apresentados indicando que este tipo de tratamento poderia ser uma alternativa a outros tratamentos em uso. CONCLUSÕES: Novas pesquisas são necessárias para validar melhor a abordagem cognitivo-comportamental para os problemas de abuso de álcool e drogas.OBJECTIVE: Cognitive-behavioral therapies have been successfully used to treat addiction. This article is in part a review on addiction models such as relapse prevention by Marlatt & Gordon, stages of change by Prochaska, DiClemente & Norcross, deriving from motivational interview, developed by Miller & Rollnick, as well as the cognitive models by Beck et al. METHOD: Based on literature evidence for the development of effective treatment programs, we report on a group treatment model used in a group of alcoholics referred by the Department of Worker's Health Surveillance at Universidade Federal do Rio de Janeiro to the Alcoholism Rehabilitation and Research Center. RESULTS: Results are presented indicating that this type of treatment could be one alternative to others treatments in use. CONCLUSIONS: New research is needed to better

Aprendizagem vicária de treino de toalete através de filme de animação: estudo de caso em ludoterapia comportamental

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Laura dos Santos Gomes Coelho

Full Text Available Este trabalho consiste no relato do atendimento, em ludoterapia comportamental, de Lara (4 anos e 5 meses, que apresentava encoprese secundária retentiva, o que acarretava um intervalo entre as defecações superior a 72 horas. Método: a avaliação consistiu em entrevista com pais e babás, observação na escola, sessões lúdicas e sessões lúdicas familiares; as intervenções enfatizaram o uso de filme de animação, atividades lúdicas e brinquedos para obter a habituação comportamental e realizar o treino do toalete. Resultado: após a intervenção, utilizando filme de animação, Lara defecou no consultório, manteve o comportamento diário de defecação durante 18 meses de acompanhamento e apresentou três acidentes críticos nesse período. Discussão: o filme de animação é sugerido como a principal intervenção para a mudança de comportamento de Lara. Provavelmente, após observar os personagens do filme de animação realizando o treino de toalete e obterem adesivos, Lara foi reforçada vicariamente e aprendeu a relação entre o comportamento dos personagens (treino do toalete e a conseqüência obtida por eles (adesivo. A brincadeira com as bonecas utilizadas no filme é concebida como um tipo de mediação lúdica.

Modelo biopsicossocial e formulação comportamental: compreendendo a cefaléia do tipo tensional Modelo biopsicosocial y formulación comportamental: comprendiendo la cefalea del tipo tensional The bio-psychosocial model and behavioral formulation: understanding the tension-type headache

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Adriana Mayon Neiva Flores

2008-03-01

Full Text Available A cefaléia do tipo tensional constitui um tipo freqüente de dor de cabeça, que tende a ocasionar uma série de comportamentos de evitação, com prejuízos físicos, sociais e psicológicos aos indivíduos afetados. O presente trabalho descreve algumas contribuições do modelo biopsicossocial de saúde para a compreensão da cefaléia do tipo tensional, descreve os tratamentos mais freqüentemente oferecidos e discute as vantagens de modalidades terapêuticas que utilizam a formulação comportamental. Destaca-se a relevância da consideração de fatores psicossociais presentes nas formas mais comuns de evolução da cefaléia do tipo tensional, o que contribui para a elaboração de planos de tratamento mais eficientes e coerentes com uma proposta realmente sistêmica e idiográfica.La cefalea del tipo tensional constituye un tipo frecuente de dolor de cabeza, que tiene la tendencia a ocasionar una serie de comportamientos de evitación, con daños físicos, sociales y psicológicos a los individuos afectados. El presente trabajo describe algunas contribuciones del modelo biopsicosocial de salud para la comprensión de la cefalea del tipo tensional, describe los tratamientos más frecuentemente ofrecidos y discute las ventajas de modalidades terapéuticas que utilizan la formulación comportamental. Se destaca la relevancia de la consideración de factores psicosociales presentes en las formas más comunes de evolución de la cefalea del tipo tensional, lo que contribuye para la elaboración de planes de tratamiento más eficientes y coherentes con una propuesta realmente sistémica e idiográfica.Tension-type headache are a frequent source of complaints in health assistance units. It tends to cause avoidance behaviors with adverse consequences in physical, psychological and social aspects. Contributions from the Bio-Psychosocial perspective are described for a better understanding of the tension-type headache problem. Study also analyzes

Análise de projetos para unidades de conservação, usando lógica fuzzy Analysis of projects in conservation units, using fuzzy logic

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Sandro Medeiros

2007-08-01

Full Text Available Este trabalho apresenta um método para a análise de projetos candidatos à implantação em Unidades de Conservação, que usa a operação dos principais indicadores da economia, sociologia e ecologia, por meio da lógica fuzzy. São estruturadas árvores de decisão no modo top-down, onde as entradas são os indicadores primários e cada output é resultado de operações lógicas em um bloco de regras do tipo "se, e, ou, então". A lógica fuzzy foi escolhida em função da sua transparência para operar as informações, permitindo aos decisores uma clara compreensão sobre as conseqüências decorrentes das decisões tomadas ao longo do processo de análise. Como objeto de análise, foi considerada a possibilidade da implantação de um projeto turístico em uma área de restinga pertencente ao Estado de Santa Catarina. O resultado da aplicação do método mostra que ele é capaz de indicar aos decisores os níveis de apropriação de um projeto específico às condições dadas.This work presents a method for projects analyses, which are applying for implantation in Conservation Units, which operates economics, sociology, and ecology indicators by fuzzy logic. Top-down decision trees are structured, where the entries are the primary indicators and each output is the result of logic operations in a block of rules with operators "if", and, or, so". The fuzzy logic was chosen due to its transparency when operating the information, allowing the stakeholders to clearly understand the consequences caused by the decisions made throughout the analysis process. The possibility of implanting a tourist project was considered as object of analysis, in an area that belongs to the state of Santa Catarina, Brazil. The State government has already showed the intention of building a ecological park in such area. The result of the utilization of the method shows that it can show the stakeholders the levels of adequacy of a specific project to the given

Sistema de classificação fuzzy para o risco de infestação por plantas daninhas considerando a sua variabilidade espacial Fuzzy classification system for risk of weed infestation considering spatial variability

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G.M. Bressan

2006-06-01

Full Text Available Este artigo trata do problema de classificação do risco de infestação por plantas daninhas usando técnicas geoestatísticas, análise de imagens e modelos de classificação fuzzy. Os principais atributos utilizados para descrever a infestação incluem a densidade de sementes, bem como a sua extensão, a cobertura foliar e a agressividade das plantas daninhas em cada região. A densidade de sementes reflete a produção de sementes por unidade de área, e a sua extensão, a influência das sementes vizinhas; a cobertura foliar indica a extensão dos agrupamentos das plantas daninhas emergentes; e a agressividade descreve a porcentagem de ocupação de espécies com alta capacidade de produção de sementes. Os dados da densidade de sementes, da cobertura foliar e da agressividade para as diferentes regiões são obtidos a partir de simulação com modelos matemáticos de populações. Neste artigo propõe-se um sistema de classificação fuzzy utilizando os atributos descritos para inferir os riscos de infestação de regiões da cultura por plantas daninhas. Resultados de simulação são apresentados para ilustrar o uso desse sistema na aplicação localizada de herbicida.This paper deals with the problem of classifying the risk of infestation by weeds in a field using geoestatistics techniques, image analysis and fuzzy classification models. The main attributes used to describe the infestation include seed density, seed density patch, weed cover and aggressivity to produce seeds in each region. Seed density reflects seed production per area unit; seed density patch reflects the influence of the neighbouring seeds in a clustering; weed cover indicates the extension of the emergent weed plant clusterings; and, finally, aggressivity describes the percentage of occupation of species with high weed seed production capacity. Data for seed density, weed cover and aggressivity for the different regions are obtained from mathematical models. In

Implementación de una estrategia fuzzy adaptativa para el control activo de vigas vibratorias

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Francisco Ernesto Moreno-García

2014-01-01

Full Text Available Este trabajo propone un control activo de vibraciones en un sistema mecánico tipo viga en voladizo, utilizando un controlador fuzzy implementado en LabVIEW. Para la etapa de medición se utiliza un acelerómetro capacitivo capaz de detectar el desplazamiento presentado en la estructura debido a una fuerza generada mediante un impactador instrumentado con un sensor piezorresistivo. Para la implementación computacional es utilizado el software LabVIEW operando en conjunto con una tarjeta de adquisición de datos DAQ 6009. Para el sistema de actuación se ubican en la barra láminas de material piezoeléctrico, que tienen la función de atenuar la vibración presente mediante la generación de fuerzas opuestas. Los resultados experimentales se presentan con el objetivo de acumular experiencias y demostrar la eficacia del control activo de vibraciones con la utilización de actuadores piezoeléctricos.

COMPARACIÓN DE DESEMPEÑO ENTRE CONTROLADORES FUZZY Y CONTROLADORES PROPORCIONALES

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Sergio L. Martínez

2012-01-01

Full Text Available El objetivo de este trabajo es comparar el desempeño de dos controladores fuzzy y un controlador proporcional. La variable controlada es el nivel de un tanque con descarga gravitatoria. Para realizar el estudio, se desarrolló un simulador dinámico implementado en Simulink® de MatLab®. Para cada controlador estudiado, se evaluó la respuesta producida ante un cambio escalón en el set point. Para realizar una comparación válida, los controladores fueron ajustados para producir offset iguales. Los resultados obtenidos muestran que los sistemas basados en heurísticas (controladores fuzzy pueden ser tanto o más convenientes que aquellos basados en conocimiento determinístico (el controlador proporcional. Si bien el controlador proporcional actúa con mayor velocidad, los controladores fuzzy mejoran los valores de algunos de los índices más importantes de desempeño, como los sobrepicos, las oscilaciones y el factor de ripple.

Aproximación epistemológica de la conciencia en psicología: una perspectiva comportamental

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Edgar Salgado-García

2003-01-01

Full Text Available Este ensayo presenta un panorama general acerca del estudio de la consciencia y de cómo podría conceptualizarse desde una perspectiva conductual. Se discuten las principales contribuciones del análisis experimental de la conducta y se comparan con las de los más importantes enfoques teóricos sobre la consciencia. Los primeros apartados se centran en los aspectos teóricos y empíricos relacionados con el concepto de consciencia. Los siguientes apartados versan sobre una epistemología conductual en medio de las perspectivas fenomenológica, cognoscitiva y biológica, así como algunos desarrollos en el campo del análisis de la conducta (p. ej., conducta verbal, conducta gobernada por reglas y control del estímulo, que se constituyen en alternativas a los recuentos mentalistas. Se concluye que la consciencia, desde una perspectiva comportamental, debe entenderse como conducta consciente y no como un concepto para explicar el comportamiento en sí.

Decomposition of fuzzy continuity and fuzzy ideal continuity via fuzzy idealization

International Nuclear Information System (INIS)

Zahran, A.M.; Abbas, S.E.; Abd El-baki, S.A.; Saber, Y.M.

2009-01-01

Recently, El-Naschie has shown that the notion of fuzzy topology may be relevant to quantum paretical physics in connection with string theory and E-infinity space time theory. In this paper, we study the concepts of r-fuzzy semi-I-open, r-fuzzy pre-I-open, r-fuzzy α-I-open and r-fuzzy β-I-open sets, which is properly placed between r-fuzzy openness and r-fuzzy α-I-openness (r-fuzzy pre-I-openness) sets regardless the fuzzy ideal topological space in Sostak sense. Moreover, we give a decomposition of fuzzy continuity, fuzzy ideal continuity and fuzzy ideal α-continuity, and obtain several characterization and some properties of these functions. Also, we investigate their relationship with other types of function.

Tratamento cognitivo e comportamental para transtornos do controle de impulsos Cognitive-behavioral treatment for impulse control disorders

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David C Hodgins

2008-05-01

Full Text Available OBJETIVOS: Este artigo revisa o tratamento da cleptomania, do comprar compulsivo e do jogo patológico. MÉTODO: Realizou-se uma revisão da literatura publicada. RESULTADOS: A pesquisa sobre o tratamento em todas essas áreas é limitada. As técnicas cognitivo-comportamentais utilizadas no tratamento da cleptomania compreendem sensibilização encoberta, dessensibilização imaginal, dessensibilização sistemática, terapia de aversão, treinamento de relaxamento e fontes alternativas de satisfação. Com relação ao comprar compulsivo, não existe amparo empírico para o tratamento, mas as técnicas comuns examinadas foram sensibilização encoberta, exposição e prevenção de resposta, controle do estímulo, reestruturação cognitiva e prevenção de recaída. O tratamento do jogo patológico teve êxito tanto no formato em grupo como no individual, utilizando técnicas tais como terapia aversiva, dessensibilização sistemática, dessensibilização imaginal e terapia comportamental multimodal (incluindo exposição in vivo, controle do estímulo e sensibilização encoberta, juntamente com técnicas cognitivas, tais como psicoeducação, reestruturação cognitiva e prevenção de recaída. CONCLUSÕES: Há um consenso geral na literatura de que as terapias cognitivo-comportamentais oferecem um modelo eficaz de intervenção em todos esses transtornos. Uma formulação de caso individualizada é apresentada com um exemplo de estudo de caso. Sugerem-se diretrizes para a prática clínica de cada transtorno.OBJECTIVES: This paper reviews the cognitive-behavioral treatment of kleptomania, compulsive buying, and pathological gambling. METHOD: A review of the published literature was conducted. RESULTS: Treatment research in all of these areas is limited. The cognitive-behavioral techniques used in the treatment of kleptomania encompass covert sensitization, imaginal desensitization, systematic desensitization, aversion therapy, relaxation

Encoprese e constipação em gêmeos: um estudo de caso em ludoterapia comportamental

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Laura dos Santos Gomes Coelho

Full Text Available Relato de tratamento em ludoterapia comportamental de gêmeos (4 anos onde uma das crianças apresentava encoprese secundária retentiva e a outra apresentava constipação. O tratamento consistiu em avaliação (entrevista e observação, linha de base (padrão de defecação e intervenções (habituação comportamental, treino intestinal, monitoramento através de gráficos e biblioterapia. Em relação à linha de base, o padrão de defecação dos gêmeos quadruplicou. Foram discutidos os fatores que possibilitaram a mudança no padrão de defecação dos gêmeos e a importância de se investigar os fatores responsáveis pelas diferenças individuais em quadros de encoprese.

Alternativas de control para un Péndulo de Furuta

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Javier Gonzalo González Fontanet

2016-10-01

Full Text Available Resumen: En este trabajo se presenta el diseño de tres alternativas de control utilizadas para el control global de un péndulo de Furuta: Control de la Energía + Realimentación de Variables de Estado, Control Fuzzy + Realimentación de Variables de Estado y Control Fuzzy + Control Predictivo, evidenciándose las prestaciones de cada una de ellas. Los resultados de simulación se obtienen mediante el Matlab y las ventajas del control Fuzzy para el balanceo del péndulo y del control predictivo para la posición invertida son evidentes, brindando así una alternativa de control global que mejora notablemente la respuesta del sistema. Abstract: In this paper is presented a design of three control strategies for the global control of the Furuta's pendulum: Energy Control plus State - Feedback, Fuzzy Logic Control plus State - Feedback and Fuzzy Logic Control plus MPC. Simulations using Matlab show the advantages of the Fuzzy Logic Control for the pendulum's swinging and the MPC Control for the inverted position. Palabras clave: Control Fuzzy, Control Predictivo, Modelado, Control de la Energía, Sistema Controlado, Keywords: Fuzzy Control, Predictive Control, Modelling, Energy Control, Controlled System

Influência da segurança comportamental nas práticas e modelos de prevenção de acidentes do trabalho: revisão sistemática da literatura

OpenAIRE

Simonelli, Angela Paula; Jackson Filho, José Marçal; Vilela, Rodolfo Andrade Gouveia; Almeida, Ildeberto Muniz de

2016-01-01

Resumo As taxas de acidentes de trabalho no Brasil ainda são muito altas. Paradoxalmente, o sistema nacional de prevenção não contribui para mudar esse cenário devido, principalmente, à hegemonia de abordagens de segurança comportamental (SC) que impulsiona não só a prática profissional e programas de segurança nas empresas, mas também a maneira de pensar e agir das instituições e de agentes públicos. Esta revisão sistemática tem como objetivo avaliar e discutir o impacto dessas abordagens na...

O efeito da terapia comportamental para enurese sobre outros problemas de comportamento

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Rodrigo Fernando Pereira

Full Text Available O objetivo do estudo foi investigar o efeito do tratamento para enurese sobre os escores de outros problemas de comportamento. Foram coletadas as informações de 97 prontuários de crianças e adolescentes atendidos no período de 2002 a 2006 em uma clínica-escola de psicologia, em programa específico para enurese com uso do alarme de urina. Os dados sobre problemas de comportamento foram avaliados por meio do Child Behavior Checklist, respondido pelas mães antes e depois do tratamento. Foi encontrada uma redução significativa nos escores de problemas de comportamento, independentemente do sucesso ou não no tratamento para enurese.

Uma comparação entre os métodos TOPSIS e Fuzzy-TOPSIS no apoio à tomada de decisão multicritério para seleção de fornecedores

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Francisco Rodrigues Lima Junior

2015-03-01

Full Text Available A seleção de fornecedores é considerada a atividade mais crítica da função de compras e impacta diretamente a qualidade dos produtos manufaturados e o desempenho do comprador. Na literatura acadêmica, dezenas de métodos de tomada de decisão multicritério vêm sendo explorados para apoiar a seleção de fornecedores. Dentre esses, o TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution e o Fuzzy-TOPSIS (uma adaptação do primeiro se destacam por sua simplicidade de uso e pela capacidade de avaliar um número ilimitado de alternativas e critérios simultaneamente. Embora muitos autores sugiram a adoção do TOPSIS e do Fuzzy-TOPSIS para suportar a seleção de fornecedores, na literatura não são discutidas as reais vantagens de uso e as limitações destes métodos quando aplicados neste domínio de problema. Diante de tal lacuna, este estudo compara o TOPSIS e o Fuzzy-TOPSIS, em relação à complexidade computacional, à estrutura dos algoritmos e aos resultados fornecidos quando aplicados em um mesmo caso real de seleção de fornecedores. Os métodos foram implementados usando MATLAB(r e aplicados na seleção de fornecedores de uma empresa de cabos de transmissão. Os resultados mostram que o TOPSIS requer menor esforço para coleta de dados e processamento computacional. Em contrapartida, o Fuzzy-TOPSIS não sofre inversões no ranking e se mostra adequado para lidar com informações qualitativas e imprecisas. Os resultados deste estudo podem orientar pesquisadores e profissionais na escolha do método mais adequado para lidar com o problema de seleção de fornecedores em questão.

Sistema fuzzy para predição do desempenho produtivo de frangos de corte de 1 a 21 dias de idade Fuzzy system to predict productive performance of broiler chicks from 1 to 21 days old

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Patrícia F. Ponciano

2012-06-01

Full Text Available Um sistema de inferência fuzzy foi desenvolvido baseado em dados da literatura para predição do consumo de ração, ganho de peso e conversão alimentar de frangos de corte com idade variando de 1 a 21, dias submetidos a diferentes condições térmicas. O sistema fuzzy foi estruturado com base em três variáveis de entrada: idade das aves (semanas, temperatura (°C e umidade relativa (% ambientes, sendo que as variáveis de saída consideradas foram: ganho de peso, consumo de ração e conversão alimentar. A inferência foi realizada por meio do método de Mamdani, que consistiu na elaboração de 45 regras e a defuzzificação por meio do método do Centro de Gravidade. Com base nos resultados, ao se compararem os dados da literatura com os obtidos pelo sistema fuzzy proposto, verificou-se desempenho satisfatório na predição das variáveis respostas, com R² da ordem de 0,995; 0,998 e 0,976, respectivamente. O ganho de peso predito pela lógica fuzzy foi validado com dados experimentais de campo, no qual se obteve R² = 0,975, apresentando grande potencial de uso em sistemas de climatização automatizado.A fuzzy inference system was developed based on literature data to predict feed intake, weight gain, and feed conversion of broiler chicks from 1 to 21 day old submitted to different thermal conditions. The fuzzy system was structured based on three input variables: age of chick (weeks, ambient temperature (°C and ambient relative humidity (%; and the output variables considered were: weight gain, feed intake and feed conversion. The inference was performed using the Mamdani's method, which consisted of the elaboration of 45 rules, and the defuzzification using the Center of Gravity method. Comparing literature data with the results obtained by the fuzzy system proposed, it is possible to conclude that the fuzzy system predicts satisfactorily the weight gain, feed intake and feed conversion, which R² were 0.995, 0.998, and 0

Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

Science.gov (United States)

de Bruin, Jeroen S; Steltzer, Heinz; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

2017-01-01

Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility that model the unsharpness of the boundaries of linguistic terms. Propositional uncertainty due to incomplete knowledge of relationships between clinical linguistic concepts is modeled with fuzzy logic. Fuzzy Arden Syntax also supports the construction of fuzzy state monitors. The latter are defined as monitors that employ fuzzy automata to observe gradual transitions between different stages of disease. As a use case, we re-implemented FuzzyARDS, a previously published clinical monitoring system for patients suffering from acute respiratory distress syndrome (ARDS). Using the re-implementation as an example, we show how key concepts of fuzzy automata, i.e., fuzzy states and parallel fuzzy state transitions, can be implemented in Fuzzy Arden Syntax. The results showed that fuzzy state monitors can be implemented in a straightforward manner.

UMA INTRODUÇÃO À TECNOLOGIA COMPORTAMENTAL DE ENSINO

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Luis Humbert Andrade de Lemos

2015-10-01

Full Text Available As dificuldades encontradas em sala de aula para um método de ensino eficaz possibilitaram um amplo campo de estudo, na busca de uma aplicação mais efetiva de ensino. Entre diversas teorias que tentaram delinear uma solução para tal problema, a Análise do Comportamento vem fornecendo uma importante contribuição para a área, mas ainda é pouco conhecida pela maioria dos educadores. Devido a isso, o presente artigo procura introduzir a aplicação da análise do comportamento em sala de aula de uma maneira didática educadores não familiarizados com o referencial teórico. Para ser possível proceder tal propósito, o texto é estruturado abordando aspectos fundamentais da análise do comportamento como: perspectiva de homem, demonstrando como o Behaviorismo Radical estuda o comportamento humano e sua maneira de interpretá-lo; comportamento operante e comportamento por instrução, enquanto conceitos fundamentais para análise das contingencias e manipulação de variáveis que melhorem a atuação do professor para tornar o ensino mais eficaz; utilização de reforço positivo e punição, descrevendo tais conceitos e demonstrando de qual maneira o reforço positivo é mais efetivo na modificação do comportamento e efeitos colaterais da utilização da punição e controle de estímulos. A aplicação destes princípios no campo educacional é conhecida na Análise do Comportamento como tecnologia comportamental O artigo também vislumbrou ressaltar características importantes dos tópicos abordados e sua relação com a função do professor, exemplificando as aplicações de tal tecnologia em um ambiente de sala de aula.   AN INTRODUCTION TO BEHAVIORAL TECHNOLOGY EDUCATION   Abstract The difficulties encountered in the classroom for effective teaching method enabled a broad field of study, in search of a more effective implementation of education. Among several theories that have tried to outline a solution to such a problem

MODELO BORROSO PARA EVALUAR LOS FACTORES QUE AFECTAN LA PRODUCTIVIDAD EN LA PYMES // FUZZY MODEL TO ASSESS FACTORS AFFECTING PRODUCTIVITY IN PYME

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Roxana Martínez Sánchez

2010-06-01

Full Text Available En Venezuela, las pequeñas y medianas empresas (PYME contribuyen considerablemente a la actividad económica y son un gran generador de empleo. Este trabajo plantea el desarrollo de un modelo borroso que permita evaluar los factores de producción que afectan la productividad, con el fin de estimar su impacto y minimizarlos para que de esta manera la empresa no pierda su nivel del aprovechamiento de los recursos. La importancia del mismo radica en la utilización de la lógica borrosa para la evaluación del efecto de factores como costo de producción, producto y satisfacción del cliente en la productividad de las PYME.// Abstract: In Venezuela, small- and medium sized companies PYME contribute considerably to economic activity and are a great employment generator. This article state a fuzzy model development which permit to evaluate the production factors that affect productivity, in order to estimate and minimize their impact and, in this way the company dosen‘t loose the use or resource level. The importance of this development lies in the use of fuzzy logic to evaluate the effect of factors like production and client satisfaction in PYME‘s productivity.

Estimativa das condições de conforto térmico para avicultura de postura usando a teoria dos conjuntos Fuzzy Estimated thermal comfort condition for layers according to Fuzzy theory

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Henrique L. de Oliveira

2005-08-01

Full Text Available Neste trabalho, foi utilizada uma ferramenta matemática promissora na análise de sistemas e/ou processos, particularmente na área de produção animal. Essa ferramenta é a desenvolvida segundo a abordagem da teoria dos Conjuntos Fuzzy e, neste caso específico, permitiu a análise da composição das variáveis climáticas independentes, como temperatura de bulbo seco e umidade relativa do ar, que influenciam na variável dependente denominada conforto térmico das aves. Foi realizada a construção de regras baseadas na intuição humana, segundo o conhecimento de especialistas da área, a partir do que é possível simular cenários distintos para o suporte à decisão de construção de galpões para abrigo a animais. Neste trabalho, foi estimado o conforto térmico para alojamento de aves poedeiras em produção. Os resultados foram analisados, usando-se o ambiente de computação científica MATLAB 6.5, o que pode ser realizado iterativamente a cada cenário gerado. Com base nos resultados obtidos, pode-se analisar as condições de conforto para distintas composições das variáveis de entrada.In this research a promising mathematical tool in system's analysis and/or process particularly in the area of Animal Production was used. Such tool was developed according to Fuzzy theory which in this specific case allows analyzing the composition of independent climatic variables, such as temperature and humidity that may influence the dependent variable named bird's thermal comfort. It was necessary to build up rules based on human intuition according to experts in this area, from which was possible to simulate distinct scenarios for supporting the decision of the construction of animal's housing. In this research thermal comfort for layer's housing in production were considered. The results were analyzed using the scientific computer environment of MATLAB 6.5, which could be done iteratively for each generated scenario. Based on the results

On Intuitionistic Fuzzy Filters of Intuitionistic Fuzzy Coframes

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Rajesh K. Thumbakara

2013-01-01

Full Text Available Frame theory is the study of topology based on its open set lattice, and it was studied extensively by various authors. In this paper, we study quotients of intuitionistic fuzzy filters of an intuitionistic fuzzy coframe. The quotients of intuitionistic fuzzy filters are shown to be filters of the given intuitionistic fuzzy coframe. It is shown that the collection of all intuitionistic fuzzy filters of a coframe and the collection of all intutionistic fuzzy quotient filters of an intuitionistic fuzzy filter are coframes.

Why fuzzy controllers should be fuzzy

International Nuclear Information System (INIS)

Nowe, A.

1996-01-01

Fuzzy controllers are usually looked at as crisp valued mappings especially when artificial intelligence learning techniques are used to build up the controller. By doing so the semantics of a fuzzy conclusion being a fuzzy restriction on the viable control actions is non-existing. In this paper the authors criticise from an approximation point of view using a fuzzy controller to express a crisp mapping does not seem the right way to go. Secondly it is illustrated that interesting information is contained in a fuzzy conclusion when indeed this conclusion is considered as a fuzzy restriction. This information turns out to be very valuable when viability problems are concerned, i.e. problems where the objective is to keep a system within predefined boundaries

Controlador fuzzy de código aberto para uso em controladores programáveis.

OpenAIRE

Edinei Peres Legaspe

2012-01-01

Sistemas de controle fuzzy são amplamente empregados na indústria de controle de processos. Normalmente controlando variáveis analógicas, tais como pressão, temperatura, vazão, posição e velocidade. Hoje existem diversas soluções de mercado que permitem o uso da lógica fuzzy em CPs (Controladores programáveis). Porém essas soluções são proprietárias e de custo elevado. Adicionalmente existe a norma IEC 61131-7, introduzida no ano de 2000, que especifica sistemas fuzzy em CPs, onde a mesma def...

O SECRETÁRIO EXECUTIVO E A FLEXIBILIDADE COMPORTAMENTAL NO TRABALHO THE EXECUTIVE SECRETARY AND BEHAVIORAL FLEXIBILITY AT WORK

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Elisandréia Fontana Terra

2011-05-01

Full Text Available

Este artigo tem como objetivo abordar a flexibilidade comportamental que é determinada pela capacidade de adaptação do indivíduo aos diversos perfis comportamentais que compõem o ambiente organizacional no qual ele está inserido, a qual é atribuída ao secretário executivo como uma habilidade profissional desejável devido à gama de pessoas com a qual ele se relaciona diariamente. Para isso foi realizada uma pesquisa bibliográfica que possibilitou a discussão das idéias de autores especializados na temática, e uma pesquisa exploratória que utilizou da entrevista pessoal aplicada a quatro secretários, através da qual foi possível a descrição das situações reais cotidianas dos secretários executivos participantes. Os resultados mostraram que esse profissional valoriza a realização profissional como motivação e sentido do trabalho e que, diante dos diferentes tipos comportamentais dos indivíduos, a persistência em manter o clima organizacional agradável através da capacidade de flexibilização comportamental é essencial. Ainda, grande importância foi dada ao diálogo, através do qual todos podem expor suas queixas, elogios e tudo o que julgarem necessário a fim de identificar as ameaças e oportunidades, bem como maximizar os pontos positivos existentes, para que exista sempre harmonia no ambiente de trabalho.

The goal of this article is to approach the behavioral flexibility determined by the individual’s adaptation capability to the different behavioral profiles that compose the organizational environment in which they are inserted, which is a desired skill given the range of people they daily relate to. For this, a literature search has been performed and it has enabled a discussion of the ideas from authors specialized in this subject. Also an exploratory research has been made based on personal interviews applied to four secretaries, which enabled to describe real

A controladoria utilizando a lógica fuzzy no auxílio à empresa para definição das prioridades do planejamento estratégico: um estudo em uma empresa de turismo

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Adolfo Alberto Vanti

2007-03-01

Full Text Available Este artigo demonstra o resultado de uma pesquisa que apresenta a lógica fuzzy contribuindo com a controladoria na formulação e avaliação das estratégias organizacionais. O objetivo deste trabalho é apresentar a lógica fuzzy em uma aplicação empresarial como uma técnica de análise e julgamento para a tomada de decisão, capaz de auxiliar os gestores e a controladoria na modelagem de indicadores e de estratégias organizacionais. As metodologias utilizadas, para embasar os pressupostos deste trabalho, são duas: uma pesquisa bibliográfica e um estudo de caso aplicado numa empresa do setor de turismo, localizada no Estado do Rio Grande do Sul, Brasil. Neste estudo, as variáveis serão analisadas por meio da aplicação do modelo de administração lógica, desenvolvido por Espín, Becker e Vanti (2005, sistema este embasado nos pressupostos da lógica fuzzy. Ao final da investigação, demonstra-se que a lógica fuzzy pode ser um instrumento utilizado com sucesso pela controladoria na construção e visualização da priorização dos objetivos e das ações estratégicas.

Validação do teste Need For Cognition: um estudo em contabilidade comportamental Validación de la prueba need for cognition: un estudio en contabilidad comportamental Validation of the test need for cognition: a study in behavioral accounting

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Raimundo Nonato Lima Filho

2013-01-01

Full Text Available Este estudo teve como objetivo validar a escala Need For Cognition (NFC em estudos em Contabilidade comportamental. Ademais, buscou-se medir possíveis correlações entre o nível de necessidade de cognição e a existência de vieses cognitivos em decisões contábeis e financeiras. Para efetivar o processo de validação completo, foram realizadas duas validações - critério e construto. A análise foi feita mediante a apreciação de uma amostra formada por 128 estudantes de pós-graduação. A técnica estatística utilizada para validação desse teste foi a análise fatorial, por possuir a capacidade de determinar o grau de influência de determinada variável na explicação de um fator, e, para o tratamento dos dados, foi utilizada a regressão logística por possibilitar a explicação de valores em função de valores conhecidos ou de variáveis independentes. Os resultados da validade de construto apontaram a legitimidade do NFC como escala unidimensional, excluindo-se três outputs de sua escala original; já os resultados da validade de critério confirmaram o impacto do nível de cognição na maximização da ocorrência de heurísticas em decisões gerenciais.Este estudio tuvo como objetivo validar la escala Need For Cognition (NFC en estudios en Contabilidad comportamental. Además, se buscó medir posibles correlaciones entre el nivel de necesidad de cognición y la existencia de planteos cognoscitivos en decisiones contables y financieras. Para hacer efectivo el proceso de validación completo, fueron realizadas dos validaciones - criterio y constructo. El análisis fue realizado mediante la apreciación de una muestra formada por 128 estudiantes de posgrado. La técnica estadística utilizada para la validación de esa prueba fue el análisis factorial, por poseer la capacidad de determinar el grado de influencia de determinada variable en la explicación de un factor, y, para el tratamiento de los datos, fue utilizada la

Countable Fuzzy Topological Space and Countable Fuzzy Topological Vector Space

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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.

Optimality Conditions for Fuzzy Number Quadratic Programming with Fuzzy Coefficients

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Xue-Gang Zhou

2014-01-01

Full Text Available The purpose of the present paper is to investigate optimality conditions and duality theory in fuzzy number quadratic programming (FNQP in which the objective function is fuzzy quadratic function with fuzzy number coefficients and the constraint set is fuzzy linear functions with fuzzy number coefficients. Firstly, the equivalent quadratic programming of FNQP is presented by utilizing a linear ranking function and the dual of fuzzy number quadratic programming primal problems is introduced. Secondly, we present optimality conditions for fuzzy number quadratic programming. We then prove several duality results for fuzzy number quadratic programming problems with fuzzy coefficients.

Fuzzy Itand#244; Integral Driven by a Fuzzy Brownian Motion

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Didier Kumwimba Seya

2015-11-01

Full Text Available In this paper we take into account the fuzzy stochastic integral driven by fuzzy Brownian motion. To define the metric between two fuzzy numbers and to take into account the limit of a sequence of fuzzy numbers, we invoke the Hausdorff metric. First this fuzzy stochastic integral is constructed for fuzzy simple stochastic functions, then the construction is done for fuzzy stochastic integrable functions.

Solving fully fuzzy transportation problem using pentagonal fuzzy numbers

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Maheswari, P. Uma; Ganesan, K.

2018-04-01

In this paper, we propose a simple approach for the solution of fuzzy transportation problem under fuzzy environment in which the transportation costs, supplies at sources and demands at destinations are represented by pentagonal fuzzy numbers. The fuzzy transportation problem is solved without converting to its equivalent crisp form using a robust ranking technique and a new fuzzy arithmetic on pentagonal fuzzy numbers. To illustrate the proposed approach a numerical example is provided.

Terapias Cognitiva e Cognitivo-Comportamental em dependência química Cognitive and Cognitive-Behavioral Therapy for substance abuse disorders

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Cláudio Jerônimo da Silva

2004-05-01

Full Text Available Este artigo descreve o estado atual da Terapia Cognitiva, Comportamental, Prevenção de Recaída e Treinamento de Habilidades no tratamento de usuários de drogas. O objetivo é apresentar uma revisão sobre teorias e técnicas da Terapia Cognitiva e outras abordagens que dela derivam. Terapias Cognitiva e Comportamental, bem como Prevenção da Recaída e Treinamento de Habilidades, são tratamentos limitados no tempo, orientados em uma meta, e que utilizam sessões estruturadas, assumindo, assim, uma postura diretiva e ativa. Nós salientamos algumas diferenças entre Terapia Cognitiva, Prevenção de Recaída e Treinamento de Habilidades. A Terapia Cognitiva tem seu foco prioritariamente nos pensamentos, crenças, sentimentos e circunstâncias, como base do comportamento disfuncional. A Prevenção de Recaída e o Treinamento de Habilidades baseiam-se nas teorias comportamentais, além da teoria Cognitiva. Esperamos apresentar os últimos achados científicos para ajudar o psiquiatra geral a melhorar o tratamento da dependência química.This article describes the current status of Cognitive and Behavioral Therapy as well Relapse Prevention and Coping Skill approaches applied in drug abuse treatments. The objective is show a review about theories and technique used by Cognitive Therapy and others approaches derived that, specifically Relapse Prevention and Coping Skill Treatments. Cognitive and Behavioral Therapy, Coping Skill, and Relapse Prevention are a short-time, goal-oriented and structured treatments. Thus, they assume a posture directive and active. We pointed out some difference between the theories about Cognitive Therapy, Relapse Prevention and Coping Skill. The Cognitive Therapy accentuated the focus in patient’s thought, feeling and circumstances that get in a dysfunctional behavioral. Relapse Prevention and Coping Skill are based in behavioral theories besides of the Cognitive. We, finally, look forward to introduce the

Diamond Fuzzy Number

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T. Pathinathan

2015-01-01

Full Text Available In this paper we define diamond fuzzy number with the help of triangular fuzzy number. We include basic arithmetic operations like addition, subtraction of diamond fuzzy numbers with examples. We define diamond fuzzy matrix with some matrix properties. We have defined Nested diamond fuzzy number and Linked diamond fuzzy number. We have further classified Right Linked Diamond Fuzzy number and Left Linked Diamond Fuzzy number. Finally we have verified the arithmetic operations for the above mentioned types of Diamond Fuzzy Numbers.

INFERENCIA DIFUSA APLICADA A LA INGENIERÍA CONCURRENTE PARA EL DISEÑO DE PRODUCTOS DE MANUFACTURA EN CONDICIONES DE INCERTIDUMBRE FUZZY INFERENCE APPLIED TO CONCURRENT ENGINEERING FOR MANUFACTURING PRODUCT DESIGN UNDER CONDITIONS OF UNCERTAINTY

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Martín Darío Arango Serna

2012-12-01

Full Text Available En este artículo se desarrolla un modelo de inferencia difusa para la toma de decisiones en condiciones de incertidumbre aplicado al diseño de productos bajo un esquema de ingeniería concurrente. Los requisitos del cliente y los criterios de los diferentes equipos interdisciplinarios para evaluar un diseño en particular son presentados como variables difusas. El modelo aquí desarrollado es aplicado a una empresa de confecciones.In this article a fuzzy inference model is developed for decision making under uncertainty conditions, applied to the design of products under a scheme of concurrent engineering. Customer requirements and criteria of different interdisciplinary teams to evaluate a particular design are presented as fuzzy variables. The model developed is applied to a garment company.

Razão e emoção: uma leitura analítico-comportamental de avanços recentes nas neurociências Reason and emotion: a behavior-analytic interpretation of recent advances in neurosciences

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Rosângela Araújo Darwich

2005-08-01

Full Text Available Achados recentes das neurociências apresentam uma visão integrada do funcionamento humano que envolve a presença de relações entre os grandes sistemas orgânicos, entre estados fisiológicos e cognitivos e entre razão e emoção. Este artigo objetiva contrastar tais estudos a aspectos centrais do modelo interpretativo skinneriano, destacando o papel de relações entre processos respondentes e operantes para a compreensão da interdependência entre razão e emoção. Investiga-se a importância de respostas emocionais e do comportamento verbal para a expressão de respostas tidas como racionais e, de uma maneira geral, para a seleção do repertório comportamental, verbal e não-verbal. Ressalta-se que o atual movimento de superação de propostas dualistas de compreensão do ser humano pelas neurociências aproxima-se da perspectiva analítico-comportamental de investigação de respostas abertas e encobertas no contexto de relações indivíduo-ambiente.Recent findings of the neurosciences present an integrated view of the human functioning, one that encompasses the relationships among the great organic systems, between physiological and cognitive states and between reason and emotion. The aim of this paper is to contrast such studies with central aspects of the Skinnerian explanatory system, highlighting the role of relations between respondent and operant processes for an understanding of the interdependence between reason and emotion. The importance of emotional responses and verbal behavior for rational responding and, moreover, for the selection of verbal and non-verbal behavioral repertoire, is discussed. It is argued that the current movement in the neurosciences towards overcoming dualistic views of the human being is compatible with the behavior-analytic approach to overt and covert responses in the context of individual-environment relations.

Intervenção fonoaudiologica baseada na perspectiva comportamental em transtorno global do desenvolvimento (tgd: relato de caso

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Ana Paola Nicolielo

2014-08-01

Full Text Available O objetivo deste trabalho foi descrever um processo de intervenção fonoaudiológica focado na adequação das habilidades linguísticas, sociais e cognitivas de uma criança com Distúrbio de Linguagem como parte de um Transtorno Global do Desenvolvimento (TGD, sob a perspectiva comportamental. A criança em questão era do gênero feminino e foi diagnosticada numa clínica-escola de Fonoaudiologia e encaminhada ao diagnóstico neurológico aos 2 anos de idade. Logo após o diagnóstico iniciou-se a intervenção fonoaudiológica individual, com base numa perspectiva comportamentalista de base mais tradicional; no entanto, ao longo do processo, houve mudanças no direcionamento da intervenção, sendo aqui relatados os dois primeiros anos de intervenção e apresentados dados da reavaliação fonoaudiológica no início do terceiro ano de intervenção. Como resultado da intervenção, houve melhora da linguagem receptiva e expressiva, sendo que a criança apresentou evolução quanto ao aspecto comportamental e aquisição de habilidades comunicativas, associando respostas verbais à ações. Além disso, houve aumento do contato ocular e do tempo de atenção e de aspectos relacionados ao simbolismo. O caso foi descrito com a preocupação de deixar claro que nem sempre é fácil a identificação da melhor abordagem terapêutica para essas crianças logo no início do processo, sendo que as decisões acerca da abordagem adequada devem ser repensadas constantemente não somente em decorrência do diagnóstico em si, mas também das manifestações da sintomatologia geral e específica – que variam conforme o desenvolvimento da criança e a evolução do processo de intervenção. Essas decisões devem ser pautadas na experiência do profissional, mas também na expectativa e no limite de cada família.

LA LÓGICA DIFUSA COMPENSATORIA / THE COMPENSATORY FUZZY LOGIC

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Jesús Cejas-Montero

2011-06-01

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La Lógica Difusa Compensatoria es un modelo lógico que permite la modelación simultánea de los procesos deductivos y de toma de decisiones. Sus características más importantes son: la flexibilidad, la tolerancia con la imprecisión, la capacidad para moldear problemas no-lineales y su fundamento en el lenguaje de sentido común. El artículo pretende llevar a la comunidad académico-empresarial las ideas fundamentales de la Lógica Difusa Compensatoria, ilustrándola en sus posibles campos de aplicación para lograr la competitividad de una organización.

Abstract

The Compensatory Fuzzy Logic is a logical model that allows the simultaneous modeling of the deductive and decision-making processes. The most important characteristics of Compensatory Fuzzy Logic are: the flexibility, the tolerance with the inaccuracy, the capacity to model no-lineal problems and its foundation in the language of common sense. The article seeks to bring the basic ideas of the Compensatory Fuzzy Logic to the academic–managerial community, illustrating it in its possible fields of application, in order to achieve the competitiveness of an organization.

Fuzzy forecasting based on fuzzy-trend logical relationship groups.

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Chen, Shyi-Ming; Wang, Nai-Yi

2010-10-01

In this paper, we present a new method to predict the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy-trend logical relationship groups (FTLRGs). The proposed method divides fuzzy logical relationships into FTLRGs based on the trend of adjacent fuzzy sets appearing in the antecedents of fuzzy logical relationships. First, we apply an automatic clustering algorithm to cluster the historical data into intervals of different lengths. Then, we define fuzzy sets based on these intervals of different lengths. Then, the historical data are fuzzified into fuzzy sets to derive fuzzy logical relationships. Then, we divide the fuzzy logical relationships into FTLRGs for forecasting the TAIEX. Moreover, we also apply the proposed method to forecast the enrollments and the inventory demand, respectively. The experimental results show that the proposed method gets higher average forecasting accuracy rates than the existing methods.

Psicologia e nutrição: predizendo a intenção comportamental de aderir a dietas de redução de peso entre obesos de baixa renda Psychology and nutrition: predicting behavioral intention to follow weight reduction diets among low-income obese patients

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Ana Paula Rodrigues Cavalcanti

2005-04-01

Full Text Available O presente estudo foi realizado entre 189 obesos de baixa renda atendidos por nutricionistas na rede pública de saúde de João Pessoa, Paraíba. Levantou as crenças positivas e negativas e os referentes mais expressivos sobre estes pacientes quanto ao comportamento de seguir uma dieta médica para redução de peso. Um instrumento de medida da intenção comportamental de efetivamente seguir tais dietas foi construído, o que permitiu verificar a ênfase do aspecto normativo geral e atitudinal nos obesos com renda de até um salário-mínimo sobre sua intenção comportamental. Isto pode indicar dois pontos eficazes a serem explorados em comunicações dirigidas a esta classe social em campanhas de saúde para redução de peso. Esta medição torna-se útil para ações preventivas de saúde; a obesidade é considerada uma epidemia mundial carente de controle imediato, aumentando em incidência principalmente nas classes mais baixas dos países em desenvolvimento.The present study was accomplished with 189 low income obese attended by public health nutritionists of João Pessoa, Paraíba. We found out positive and negative beliefs plus the most expressive referees on these patients about the behavior of following a medical diet to reduce weight. This permitted to build a behavioral intention measurement instrument to check those who might really follow these diets. It was verified the emphasis on general normative and attitudinal aspects over obese who had up to one minimum-wage income. This may indicate two efficacious points to be explored on targeted communications to this social class during weight loss public health campaigns. This measurement can be turned into preventive health actions; obesity is considered worldwide as epidemics, in need of immediate control, growing in incidence mainly among lower ranks of the population of developing countries.

Implementação Eletrônica de Sistemas Fuzzy.

OpenAIRE

André Luís Jorge Garcia

2009-01-01

Este trabalho investiga a implementação de sistemas fuzzy com circuitos eletrônicos. Tais sistemas têm demonstrado sua capacidade de resolver diversos tipos de problemas em várias aplicações de engenharia, em especial nas relacionadas com controle de processos. Para processos mais complexos, o raciocínio aproximado da lógica fuzzy fornece uma maneira de compreender o comportamento do sistema, permitindo a interpolação aproximada entre situações observadas de entrada e saída. A ...

On the Fuzzy Convergence

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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.

Stability Analysis of Interconnected Fuzzy Systems Using the Fuzzy Lyapunov Method

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Ken Yeh

2010-01-01

Full Text Available The fuzzy Lyapunov method is investigated for use with a class of interconnected fuzzy systems. The interconnected fuzzy systems consist of J interconnected fuzzy subsystems, and the stability analysis is based on Lyapunov functions. Based on traditional Lyapunov stability theory, we further propose a fuzzy Lyapunov method for the stability analysis of interconnected fuzzy systems. The fuzzy Lyapunov function is defined in fuzzy blending quadratic Lyapunov functions. Some stability conditions are derived through the use of fuzzy Lyapunov functions to ensure that the interconnected fuzzy systems are asymptotically stable. Common solutions can be obtained by solving a set of linear matrix inequalities (LMIs that are numerically feasible. Finally, simulations are performed in order to verify the effectiveness of the proposed stability conditions in this paper.

Stochastic Optimal Estimation with Fuzzy Random Variables and Fuzzy Kalman Filtering

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FENG Yu-hu

2005-01-01

By constructing a mean-square performance index in the case of fuzzy random variable, the optimal estimation theorem for unknown fuzzy state using the fuzzy observation data are given. The state and output of linear discrete-time dynamic fuzzy system with Gaussian noise are Gaussian fuzzy random variable sequences. An approach to fuzzy Kalman filtering is discussed. Fuzzy Kalman filtering contains two parts: a real-valued non-random recurrence equation and the standard Kalman filtering.

A neural fuzzy controller learning by fuzzy error propagation

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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.

Avaliação e intervenção psicológica para meninas vítimas de abuso sexual intrafamiliar

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Luísa Fernanda Habigzang

2006-01-01

O abuso sexual contra crianças e adolescentes é um fenômeno complexo que envolve aspectos psicológicos, sociais e jurídicos. Esta forma de violência tem sido considerada um problema de saúde pública devido aos altos índices de incidência e ao impacto negativo para o desenvolvimento das vítimas. O presente estudo teve como objetivo aplicar e avaliar o efeito de um modelo de grupoterapia cognitiva-comportamental para meninas vítimas de abuso sexual intrafamiliar. Participaram do estudo 10 menin...

Tratamento cognitivo-comportamental de grupo na fobia social: resultados de 12 semanas Cognitive-behavioral group treatment in social phobia: 12-week outcome

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Gustavo J. Fonseca D'El Rey

2008-01-01

Full Text Available CONTEXTO: A fobia social é um dos transtornos mentais mais prevalentes na população geral. A terapia cognitivo-comportamental é o modelo não-farmacológico mais estudado nesse transtorno de ansiedade. OBJETIVOS: Este estudo teve como objetivo verificar a efetividade da terapia cognitivo-comportamental de grupo em pacientes com fobia social generalizada. MÉTODOS: Trinta e um pacientes com diagnóstico de fobia social generalizada foram randomicamente distribuídos em dois grupos: um de terapia cognitivo-comportamental de grupo - TCCG (n = 15 e um grupo-controle na Lista de Espera - LE (n = 16. Os pacientes preencheram quatro escalas de avaliação (Inventário de Fobia Social, Escala de Medo de Avaliação Negativa, Inventário de Ansiedade Beck e Escala de Impressão Clínica Global na semana 1 de tratamento e na semana 12. RESULTADOS: Em todas as medidas de avaliações, ao final de 12 semanas, os pacientes que receberam TCCG apresentaram melhoras superiores aos da LE. CONCLUSÕES: Neste ensaio clínico randomizado, simples-cego, a terapia cognitivo-comportamental de grupo foi superior à Lista de Espera no tratamento da fobia social generalizada.BACKGROUND: Social phobia is a widespread mental disorder in the general population. Cognitive-behavioral therapy is the most thoroughly studied nonpharmacologic approach in this anxiety disorder. OBJECTIVES: The aim of this study is to assess the effectiveness of cognitive-behavioral group therapy in patients with generalized social phobia. METHODS: Thirty one patients with diagnosis of generalized social phobia were randomly allocated in two groups. One group of cognitive-behavioral group therapy - CBGT (n = 15 and one Waiting List control group - WL (n = 16. The patients completed four rating scales (Social Phobia Inventory, Fear of Negative Evaluation Scale, Beck Anxiety Inventory and Clinical Global Impression Scale in the weeks 1 and 12. RESULTS: In all rating scales in the week 12 of

Protocolo de Observação Comportamental - PROC: valores de referência para uma análise quantitativa Behavioral Observation Protocol: reference values for a quantitative analysis

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Simone Rocha de Vasconcellos Hage

2012-08-01

Full Text Available OBJETIVO: obter valores de referência para protocolo de observação comportamental (PROC sobre o desenvolvimento de habilidades comunicativas e de esquemas simbólicos em crianças com desenvolvimento típico de linguagem. MÉTODO: foram avaliadas 44 crianças entre 24 e 47 meses de ambos os gêneros, selecionadas em escolas de educação infantil, por meio de triagem do desenvolvimento global Denver II e questionário com os pais. Todas as crianças foram filmadas durante 30 minutos em interação com um adulto em atividade envolvendo brinquedos. As gravações foram analisadas por meio do PROC. A análise estatística descreveu valores de média, mediana, valores mínimos e máximos. Foi utilizado o teste T de Student para comparação das idades. RESULTADOS: nas habilidades comunicativas, as crianças do estudo mostraram evolução com a idade (média para três e dois anos, respectivamente: 58,12 e 51,44, apesar de não ter sido encontrada diferença estatisticamente significante para as faixas etárias comparadas (p=0,486. Quanto ao item compreensão verbal, as crianças de três anos obtiveram melhor desempenho que as de dois (respectivas médias: 59,41 e 50,70, havendo diferença estatisticamente significante (p=0,0000020. Em relação ao item aspectos do desenvolvimento cognitivo, as crianças de três anos apresentaram melhor desempenho em comparação com as de dois (respectivas médias: 44,53 e 31,96, havendo diferença estatisticamente significante entre as pontuações obtidas (p=0,00364, mostrando que as crianças evoluem na hierarquia do simbolismo. CONCLUSÃO: a obtenção de valores de referência para o PROC veio combinar análise qualitativa e quantitativa, contribuindo, além do diagnóstico, para o acompanhamento objetivo de processos terapêuticos.PURPOSE: to obtain reference values for behavioral observation protocol on the development of communicative and symbolic schemes of children with typical language development

Complex Fuzzy Set-Valued Complex Fuzzy Measures and Their Properties

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Ma, Shengquan; Li, Shenggang

2014-01-01

Let F*(K) be the set of all fuzzy complex numbers. In this paper some classical and measure-theoretical notions are extended to the case of complex fuzzy sets. They are fuzzy complex number-valued distance on F*(K), fuzzy complex number-valued measure on F*(K), and some related notions, such as null-additivity, pseudo-null-additivity, null-subtraction, pseudo-null-subtraction, autocontionuous from above, autocontionuous from below, and autocontinuity of the defined fuzzy complex number-valued measures. Properties of fuzzy complex number-valued measures are studied in detail. PMID:25093202

Hierarchical type-2 fuzzy aggregation of fuzzy controllers

CERN Document Server

Cervantes, Leticia

2016-01-01

This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.

Fuzzy portfolio model with fuzzy-input return rates and fuzzy-output proportions

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Tsaur, Ruey-Chyn

2015-02-01

In the finance market, a short-term investment strategy is usually applied in portfolio selection in order to reduce investment risk; however, the economy is uncertain and the investment period is short. Further, an investor has incomplete information for selecting a portfolio with crisp proportions for each chosen security. In this paper we present a new method of constructing fuzzy portfolio model for the parameters of fuzzy-input return rates and fuzzy-output proportions, based on possibilistic mean-standard deviation models. Furthermore, we consider both excess or shortage of investment in different economic periods by using fuzzy constraint for the sum of the fuzzy proportions, and we also refer to risks of securities investment and vagueness of incomplete information during the period of depression economics for the portfolio selection. Finally, we present a numerical example of a portfolio selection problem to illustrate the proposed model and a sensitivity analysis is realised based on the results.

Combining fuzzy mathematics with fuzzy logic to solve business management problems

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Vrba, Joseph A.

1993-12-01

Fuzzy logic technology has been applied to control problems with great success. Because of this, many observers fell that fuzzy logic is applicable only in the control arena. However, business management problems almost never deal with crisp values. Fuzzy systems technology--a combination of fuzzy logic, fuzzy mathematics and a graphical user interface--is a natural fit for developing software to assist in typical business activities such as planning, modeling and estimating. This presentation discusses how fuzzy logic systems can be extended through the application of fuzzy mathematics and the use of a graphical user interface to make the information contained in fuzzy numbers accessible to business managers. As demonstrated through examples from actual deployed systems, this fuzzy systems technology has been employed successfully to provide solutions to the complex real-world problems found in the business environment.

Fuzzy Languages

Science.gov (United States)

Rahonis, George

The theory of fuzzy recognizable languages over bounded distributive lattices is presented as a paradigm of recognizable formal power series. Due to the idempotency properties of bounded distributive lattices, the equality of fuzzy recognizable languages is decidable, the determinization of multi-valued automata is effective, and a pumping lemma exists. Fuzzy recognizable languages over finite and infinite words are expressively equivalent to sentences of the multi-valued monadic second-order logic. Fuzzy recognizability over bounded ℓ-monoids and residuated lattices is briefly reported. The chapter concludes with two applications of fuzzy recognizable languages to real world problems in medicine.

Relational Demonic Fuzzy Refinement

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Fairouz Tchier

2014-01-01

Full Text Available We use relational algebra to define a refinement fuzzy order called demonic fuzzy refinement and also the associated fuzzy operators which are fuzzy demonic join (⊔fuz, fuzzy demonic meet (⊓fuz, and fuzzy demonic composition (□fuz. Our definitions and properties are illustrated by some examples using mathematica software (fuzzy logic.

Fuzzy logic

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Smets, P

1995-01-01

We start by describing the nature of imperfect data, and giving an overview of the various models that have been proposed. Fuzzy sets theory is shown to be an extension of classical set theory, and as such has a proeminent role or modelling imperfect data. The mathematic of fuzzy sets theory is detailled, in particular the role of the triangular norms. The use of fuzzy sets theory in fuzzy logic and possibility theory,the nature of the generalized modus ponens and of the implication operator for approximate reasoning are analysed. The use of fuzzy logic is detailled for application oriented towards process control and database problems.

Fuzzy Neuroidal Nets and Recurrent Fuzzy Computations

Czech Academy of Sciences Publication Activity Database

Wiedermann, Jiří

2001-01-01

Roč. 11, č. 6 (2001), s. 675-686 ISSN 1210-0552. [SOFSEM 2001 Workshop on Soft Computing. Piešťany, 29.11.2001-30.11.2001] R&D Projects: GA ČR GA201/00/1489; GA AV ČR KSK1019101 Institutional research plan: AV0Z1030915 Keywords : fuzzy computing * fuzzy neural nets * fuzzy Turing machines * non-uniform computational complexity Subject RIV: BA - General Mathematics

Neuro-fuzzy system modeling based on automatic fuzzy clustering

Institute of Scientific and Technical Information of China (English)

Yuangang TANG; Fuchun SUN; Zengqi SUN

2005-01-01

A neuro-fuzzy system model based on automatic fuzzy clustering is proposed.A hybrid model identification algorithm is also developed to decide the model structure and model parameters.The algorithm mainly includes three parts:1) Automatic fuzzy C-means (AFCM),which is applied to generate fuzzy rules automatically,and then fix on the size of the neuro-fuzzy network,by which the complexity of system design is reducesd greatly at the price of the fitting capability;2) Recursive least square estimation (RLSE).It is used to update the parameters of Takagi-Sugeno model,which is employed to describe the behavior of the system;3) Gradient descent algorithm is also proposed for the fuzzy values according to the back propagation algorithm of neural network.Finally,modeling the dynamical equation of the two-link manipulator with the proposed approach is illustrated to validate the feasibility of the method.

Modelo de valor de marca para medios de prensa escritos en un contexto regional

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Claudio Candia Campano

2015-01-01

Full Text Available El objetivo de la presente investigación es proponer una escala de medida de valor de marca para medios de prensa escritos. Para esto se desarrolló un proceso de 3 etapas constituido por: la elaboración de una escala con validez de contenido; la aplicación de un pre test cuantitativo a la escala construida y, finalmente, la recolección de datos con la escala mejorada y el análisis de las propiedades psicométricas de esta. Para evaluar las propiedades psicométricas se realizó, principalmente, un análisis factorial confirmatorio al modelo de ecuaciones estructurales que representa dicha escala de medida. Las 6 dimensiones explicativas resultantes son: lealtad afectiva-comportamental, lealtad cognitiva, asociaciones de marca, calidad percibida, reconocimiento de marca y recordación de marca.

Modelo de valor de marca para medios de prensa escritos en un contexto regional

Directory of Open Access Journals (Sweden)

Claudio Candia Campano

2015-04-01

Full Text Available El objetivo de la presente investigación es proponer una escala de medida de valor de marca para medios de prensa escritos. Para esto se desarrolló un proceso de 3 etapas constituido por: la elaboración de una escala con validez de contenido; la aplicación de un pre test cuantitativo a la escala construida y, finalmente, la recolección de datos con la escala mejorada y el análisis de las propiedades psicométricas de esta. Para evaluar las propiedades psicométricas se realizó, principalmente, un análisis factorial confirmatorio al modelo de ecuaciones estructurales que representa dicha escala de medida. Las 6 dimensiones explicativas resultantes son: lealtad afectiva-comportamental, lealtad cognitiva, asociaciones de marca, calidad percibida, reconocimiento de marca y recordación de marca.

Combinational Reasoning of Quantitative Fuzzy Topological Relations for Simple Fuzzy Regions

Science.gov (United States)

Liu, Bo; Li, Dajun; Xia, Yuanping; Ruan, Jian; Xu, Lili; Wu, Huanyi

2015-01-01

In recent years, formalization and reasoning of topological relations have become a hot topic as a means to generate knowledge about the relations between spatial objects at the conceptual and geometrical levels. These mechanisms have been widely used in spatial data query, spatial data mining, evaluation of equivalence and similarity in a spatial scene, as well as for consistency assessment of the topological relations of multi-resolution spatial databases. The concept of computational fuzzy topological space is applied to simple fuzzy regions to efficiently and more accurately solve fuzzy topological relations. Thus, extending the existing research and improving upon the previous work, this paper presents a new method to describe fuzzy topological relations between simple spatial regions in Geographic Information Sciences (GIS) and Artificial Intelligence (AI). Firstly, we propose a new definition for simple fuzzy line segments and simple fuzzy regions based on the computational fuzzy topology. And then, based on the new definitions, we also propose a new combinational reasoning method to compute the topological relations between simple fuzzy regions, moreover, this study has discovered that there are (1) 23 different topological relations between a simple crisp region and a simple fuzzy region; (2) 152 different topological relations between two simple fuzzy regions. In the end, we have discussed some examples to demonstrate the validity of the new method, through comparisons with existing fuzzy models, we showed that the proposed method can compute more than the existing models, as it is more expressive than the existing fuzzy models. PMID:25775452

FUZZY RINGS AND ITS PROPERTIES

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Karyati Karyati

2017-01-01

  One of algebraic structure that involves a binary operation is a group that is defined  an un empty set (classical with an associative binary operation, it has identity elements and each element has an inverse. In the structure of the group known as the term subgroup, normal subgroup, subgroup and factor group homomorphism and its properties. Classical algebraic structure is developed to algebraic structure fuzzy by the researchers as an example semi group fuzzy and fuzzy group after fuzzy sets is introduced by L. A. Zadeh at 1965. It is inspired of writing about semi group fuzzy and group of fuzzy, a research on the algebraic structure of the ring is held with reviewing ring fuzzy, ideal ring fuzzy, homomorphism ring fuzzy and quotient ring fuzzy with its properties. The results of this study are obtained fuzzy properties of the ring, ring ideal properties fuzzy, properties of fuzzy ring homomorphism and properties of fuzzy quotient ring by utilizing a subset of a subset level  and strong level  as well as image and pre-image homomorphism fuzzy ring.   Keywords: fuzzy ring, subset level, homomorphism fuzzy ring, fuzzy quotient ring

On fuzzy quasi continuity and an application of fuzzy set theory

CERN Document Server

Mahmoud, R A

2003-01-01

Where as classical topology has been developed closely connected with classical analysis describing topological phenomena in analysis, fuzzy topology with its important application in quantum gravity indicated by Witten and Elnaschie, has only been introduced as an analogue of the classical topology. The development of fuzzy topology without close relations to analytical problems did not give the possibility of testing successfully the applicability of the new notions and results. Till now this situation did not change, essentially. Although, many types of fuzzy sets and fuzzy functions having the quasi-property in both of weak and strong than openness and continuity, respectively, have been studied in detail. Many properties on fuzzy topological spaces such as compactness are discussed via fuzzy notion. While others are far from being completely devoted in its foundation. So, this paper is devoted to present a new class of fuzzy quasi-continuous functions via fuzzy compactness has been defined. Some characte...

Neuro-fuzzy models for systems identification applied to the operation of nuclear power plants; Sistemas neuro-fuzzy para identificacao de sistemas aplicados a operacao de centrais nucleares

Energy Technology Data Exchange (ETDEWEB)

Alves, Antonio Carlos Pinto Dias

2000-09-01

A nuclear power plant has a myriad of complex system and sub-systems that, working cooperatively, make the control of the whole plant. Nevertheless their operation be automatic most of the time, the integral understanding of their internal- logic can be away of the comprehension of even experienced operators because of the poor interpretability those controls offer. This difficulty does not happens only in nuclear power plants but in almost every a little more complex control system. Neuro-fuzzy models have been used for the last years in a attempt of suppress these difficulties because of their ability of modelling in linguist form even a system which behavior is extremely complex. This is a very intuitive human form of interpretation and neuro-fuzzy model are gathering increasing acceptance. Unfortunately, neuro-fuzzy models can grow up to become of hard interpretation because of the complexity of the systems under modelling. In general, that growing occurs in function of redundant rules or rules that cover a very little domain of the problem. This work presents an identification method for neuro-fuzzy models that not only allows models grow in function of the existent complexity but that beforehand they try to self-adapt to avoid the inclusion of new rules. This form of construction allowed to arrive to highly interpretative neuro-fuzzy models even of very complex systems. The use of this kind of technique in modelling the control of the pressurizer of a PWR nuclear power plant allowed verify its validity and how neuro-fuzzy models so built can be useful in understanding the automatic operation of a nuclear power plant. (author)

Maturidade emocional e avaliação comportamental de crianças filhas de alcoolistas Emotional maturity and behavioral assessment of children of alcoholics

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Joseane de Souza

2005-08-01

Full Text Available Filhos de alcoolistas têm sido apontados como mais vulneráveis ao desenvolvimento de problemas emocionais e comportamentais. O presente trabalho teve como objetivo avaliar comparativamente filhos de alcoolistas e filhos de não-alcoolistas nos aspectos cognitivo e emocional, através do Teste Desenho da Figura Humana, e comportamental, segundo a percepção das mães, utilizando-se a Escala Comportamental de Rutter. Os sujeitos foram 20 filhos de alcoolistas e 20 filhos de não-alcoolistas, com idades entre 9 e 12 anos, matriculados no Ensino Fundamental. Cada grupo foi formado de 10 meninos e 10 meninas. Na análise dos resultados, filhos de alcoolistas apresentaram diferença estatisticamente significativa nos aspectos emocional e comportamental. Eles revelaram timidez, insegurança e baixa auto-estima. Segundo as mães, mostraram: impaciência, irritação, agitação, desobediência e dependência. As meninas filhas de alcoolistas apresentaram mais problemas emocionais e de comportamento que as meninas filhas de não-alcoolistas. Neste trabalho as meninas se revelaram mais vulneráveis que os meninos nos domínios emocional e comportamental.Children of alcoholics (COAs have been found to be more vulnerable to emotional and behavioral problems. This study had the aim to assess comparatively children of alcoholics and children of nonalcoholics. The Human Figure Drawing Test was used to assess their cognitive and emotional aspects. To assess mother's behavioral aspects the Rutter's Scale was used. Subjects: 20 children of alcoholics (COAs and 20 children of nonalcoholics (Non-COAs, 9 to 12 years of age, enrolled at elementary school. Each group was composed of 10 boys and 10 girls. Results: children of alcoholics showed difference statistically significant in emotional and behavioral aspects. They showed: shyness, insecurity and low self-esteem. According their mothers opinion they are: impatient, irritable, agitated, disobedient and

Improvement of Fuzzy Image Contrast Enhancement Using Simulated Ergodic Fuzzy Markov Chains

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Behrouz Fathi-Vajargah

2014-01-01

Full Text Available This paper presents a novel fuzzy enhancement technique using simulated ergodic fuzzy Markov chains for low contrast brain magnetic resonance imaging (MRI. The fuzzy image contrast enhancement is proposed by weighted fuzzy expected value. The membership values are then modified to enhance the image using ergodic fuzzy Markov chains. The qualitative performance of the proposed method is compared to another method in which ergodic fuzzy Markov chains are not considered. The proposed method produces better quality image.

Fuzzy control. Fundamentals, stability and design of fuzzy controllers

Energy Technology Data Exchange (ETDEWEB)

Michels, K. [Fichtner GmbH und Co. KG, Stuttgart (Germany); Klawonn, F. [Fachhochschule Braunschweig/Wolfenbuettel (Germany). Fachbereich Informatik; Kruse, R. [Magdeburg Univ. (Germany). Fakultaet Informatik, Abt. Wiss.- und Sprachverarbeitung; Nuernberger, A. (eds.) [California Univ., Berkeley, CA (United States). Computer Science Division

2006-07-01

The book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphases are placed on topics that are of importance for industrial applications, like (self-) tuning of fuzzy controllers, optimisation and stability analysis. The book is written as a textbook for graduate students as well as a comprehensive reference book about fuzzy control for researchers and application engineers. Starting with a detailed introduction to fuzzy systems and control theory the reader is guided to up-to-date research results. (orig.)

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

Stability analysis of polynomial fuzzy models via polynomial fuzzy Lyapunov functions

OpenAIRE

Bernal Reza, Miguel Ángel; Sala, Antonio; JAADARI, ABDELHAFIDH; Guerra, Thierry-Marie

2011-01-01

In this paper, the stability of continuous-time polynomial fuzzy models by means of a polynomial generalization of fuzzy Lyapunov functions is studied. Fuzzy Lyapunov functions have been fruitfully used in the literature for local analysis of Takagi-Sugeno models, a particular class of the polynomial fuzzy ones. Based on a recent Taylor-series approach which allows a polynomial fuzzy model to exactly represent a nonlinear model in a compact set of the state space, it is shown that a refinemen...

Relational Demonic Fuzzy Refinement

OpenAIRE

Tchier, Fairouz

2014-01-01

We use relational algebra to define a refinement fuzzy order called demonic fuzzy refinement and also the associated fuzzy operators which are fuzzy demonic join $({\\bigsqcup }_{\\mathrm{\\text{f}}\\mathrm{\\text{u}}\\mathrm{\\text{z}}})$ , fuzzy demonic meet $({\\sqcap }_{\\mathrm{\\text{f}}\\mathrm{\\text{u}}\\mathrm{\\text{z}}})$ , and fuzzy demonic composition $({\\square }_{\\mathrm{\\text{f}}\\mathrm{\\text{u}}\\mathrm{\\text{z}}})$ . Our definitions and properties are illustrated by some examples using ma...

Intuitionistic supra fuzzy topological spaces

International Nuclear Information System (INIS)

Abbas, S.E.

2004-01-01

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

Intelligent control-I: review of fuzzy logic and fuzzy set theory

International Nuclear Information System (INIS)

Nagrial, M.H.

2004-01-01

In the past decade or so, fuzzy systems have supplanted conventional technologies in many engineering systems, in particular in control systems and pattern recognition. Fuzzy logic has found applications in a variety of consumer products e.g. washing machines, camcorders, digital cameras, air conditioners, subway trains, cement kilns and many others. The fuzzy technology is also being applied in information technology, where it provides decision-support and expert systems with powerful reasoning capabilities. Fuzzy sets, introduced by Zadeh in 1965 as a mathematical way to represent vagueness in linguistics, can be considered a generalisation of classical set theory. Fuzziness is often confused with probability. This lecture will introduce the principal concepts and mathematical notions of fuzzy set theory. (author)

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...

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...

The World of Combinatorial Fuzzy Problems and the Efficiency of Fuzzy Approximation Algorithms

OpenAIRE

Yamakami, Tomoyuki

2015-01-01

We re-examine a practical aspect of combinatorial fuzzy problems of various types, including search, counting, optimization, and decision problems. We are focused only on those fuzzy problems that take series of fuzzy input objects and produce fuzzy values. To solve such problems efficiently, we design fast fuzzy algorithms, which are modeled by polynomial-time deterministic fuzzy Turing machines equipped with read-only auxiliary tapes and write-only output tapes and also modeled by polynomia...

Treinamento físico intervalado como ferramenta na terapia cognitivo-comportamental do transtorno de pânico

Directory of Open Access Journals (Sweden)

Aline Sardinha

2011-01-01

Full Text Available Este trabalho consiste no relato da utilização de um programa de exercícios físicos aeró-bicos intervalados no contexto da terapia cognitivo-comportamental em um caso de transtorno de pânico e agorafobia. São descritos os procedimentos utilizados, bem como os resultados positivos obtidos na redução da ansiedade cardíaca e na ansiedade cotidiana em relação a situações que exigem esforço físico.

Treinamento físico intervalado como ferramenta na terapia cognitivo-comportamental do transtorno de pânico

OpenAIRE

Sardinha,Aline; Araújo,Claudio Gil Soares de; Nardi,Antonio Egidio

2011-01-01

Este trabalho consiste no relato da utilização de um programa de exercícios físicos aeró-bicos intervalados no contexto da terapia cognitivo-comportamental em um caso de transtorno de pânico e agorafobia. São descritos os procedimentos utilizados, bem como os resultados positivos obtidos na redução da ansiedade cardíaca e na ansiedade cotidiana em relação a situações que exigem esforço físico.

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.

Fuzzy risk matrix

International Nuclear Information System (INIS)

Markowski, Adam S.; Mannan, M. Sam

2008-01-01

A risk matrix is a mechanism to characterize and rank process risks that are typically identified through one or more multifunctional reviews (e.g., process hazard analysis, audits, or incident investigation). This paper describes a procedure for developing a fuzzy risk matrix that may be used for emerging fuzzy logic applications in different safety analyses (e.g., LOPA). The fuzzification of frequency and severity of the consequences of the incident scenario are described which are basic inputs for fuzzy risk matrix. Subsequently using different design of risk matrix, fuzzy rules are established enabling the development of fuzzy risk matrices. Three types of fuzzy risk matrix have been developed (low-cost, standard, and high-cost), and using a distillation column case study, the effect of the design on final defuzzified risk index is demonstrated

FORMAL METHOD TO IMPLEMENT FUZZY REQUIREMENTS

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MARLENE GONCALVES

2012-01-01

Full Text Available RESUMEN: Muchos requerimientos de usuario pueden involucrar criterios de preferencia expresados en el lenguaje natural por medio de términos difusos; éstos son llamados requerimientos difusos. Por otro lado, los lenguajes de consulta a bases de datos han sido extendidos incorporando la lógica difusa para manejar las preferencias de usuarios. Pocas de las metodologías conocidas para el desarrollo de aplicaciones sobre base de datos consideran las consultas difusas. En este trabajo, se propone un método para aplicaciones a bases de datos cuyo objetivo es desarrollar sistemas de software con soporte de consultas difusas. Lo novedoso de éste es la extensión al cálculo de tuplas para la especificación formal de consultas difusas. Además, el método incluye reglas de traducción de una especificación formal a una consulta en SQLf (structured query language + fuzzy logic, un lenguaje de consultas difusas sobre bases de datos precisas. Se ilustra su utilidad con la aplicación a un caso de estudio real.

Fuzzy containers allocation problem in maritime terminal

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Seyed-Mohammad Seyed-Hosseini

2009-09-01

Full Text Available Normal.dotm 0 0 1 140 799 UPC 6 1 981 12.0 0 false 18 pt 18 pt 0 0 false false false /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:??; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Containers allocation in terminals has attracted lots of research works due to practical & theoretical importance in transportation literature. In this paper, we developed a fuzzy mathematical programming model for solving problem of allocating the containers in terminal area. The objective is minimizing the total distance traversed by the containers from the ship to the terminal area they are assigned. Fuzzy set concepts are used to treat imprecision regarding the distances between berth and terminals area, number of containers in an arrived ship and estimation of available area in each terminal at a port. We proposed two types of models for optimistic and pessimistic situations. The proposed models have been coded in LINGO8.0 solver and a numerical example has been solved for illustration purpose. The full analysis of the proposed models can cause an optimum allocation of containers of several ships to different terminals of berths in fuzzy environment.

Global sensitivity analysis for fuzzy inputs based on the decomposition of fuzzy output entropy

Science.gov (United States)

Shi, Yan; Lu, Zhenzhou; Zhou, Yicheng

2018-06-01

To analyse the component of fuzzy output entropy, a decomposition method of fuzzy output entropy is first presented. After the decomposition of fuzzy output entropy, the total fuzzy output entropy can be expressed as the sum of the component fuzzy entropy contributed by fuzzy inputs. Based on the decomposition of fuzzy output entropy, a new global sensitivity analysis model is established for measuring the effects of uncertainties of fuzzy inputs on the output. The global sensitivity analysis model can not only tell the importance of fuzzy inputs but also simultaneously reflect the structural composition of the response function to a certain degree. Several examples illustrate the validity of the proposed global sensitivity analysis, which is a significant reference in engineering design and optimization of structural systems.

Intuitionistic Fuzzy Subbialgebras and Duality

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Wenjuan Chen

2014-01-01

Full Text Available We investigate connections between bialgebras and Atanassov’s intuitionistic fuzzy sets. Firstly we define an intuitionistic fuzzy subbialgebra of a bialgebra with an intuitionistic fuzzy subalgebra structure and also with an intuitionistic fuzzy subcoalgebra structure. Secondly we investigate the related properties of intuitionistic fuzzy subbialgebras. Finally we prove that the dual of an intuitionistic fuzzy strong subbialgebra is an intuitionistic fuzzy strong subbialgebra.

Fuzzy topological digital space and digital fuzzy spline of electroencephalography during epileptic seizures

Science.gov (United States)

Shah, Mazlina Muzafar; Wahab, Abdul Fatah

2017-08-01

Epilepsy disease occurs because of there is a temporary electrical disturbance in a group of brain cells (nurons). The recording of electrical signals come from the human brain which can be collected from the scalp of the head is called Electroencephalography (EEG). EEG then considered in digital format and in fuzzy form makes it a fuzzy digital space data form. The purpose of research is to identify the area (curve and surface) in fuzzy digital space affected by inside epilepsy seizure in epileptic patient's brain. The main focus for this research is to generalize fuzzy topological digital space, definition and basic operation also the properties by using digital fuzzy set and the operations. By using fuzzy digital space, the theory of digital fuzzy spline can be introduced to replace grid data that has been use previously to get better result. As a result, the flat of EEG can be fuzzy topological digital space and this type of data can be use to interpolate the digital fuzzy spline.

Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning

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Ya’nan Wang

2016-01-01

Full Text Available Fuzzy sets theory cannot describe the data comprehensively, which has greatly limited the objectivity of fuzzy time series in uncertain data forecasting. In this regard, an intuitionistic fuzzy time series forecasting model is built. In the new model, a fuzzy clustering algorithm is used to divide the universe of discourse into unequal intervals, and a more objective technique for ascertaining the membership function and nonmembership function of the intuitionistic fuzzy set is proposed. On these bases, forecast rules based on intuitionistic fuzzy approximate reasoning are established. At last, contrast experiments on the enrollments of the University of Alabama and the Taiwan Stock Exchange Capitalization Weighted Stock Index are carried out. The results show that the new model has a clear advantage of improving the forecast accuracy.

Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships.

Science.gov (United States)

Chen, Shyi-Ming; Chen, Shen-Wen

2015-03-01

In this paper, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. Firstly, the proposed method fuzzifies the historical training data of the main factor and the secondary factor into fuzzy sets, respectively, to form two-factors second-order fuzzy logical relationships. Then, it groups the obtained two-factors second-order fuzzy logical relationships into two-factors second-order fuzzy-trend logical relationship groups. Then, it calculates the probability of the "down-trend," the probability of the "equal-trend" and the probability of the "up-trend" of the two-factors second-order fuzzy-trend logical relationships in each two-factors second-order fuzzy-trend logical relationship group, respectively. Finally, it performs the forecasting based on the probabilities of the down-trend, the equal-trend, and the up-trend of the two-factors second-order fuzzy-trend logical relationships in each two-factors second-order fuzzy-trend logical relationship group. We also apply the proposed method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and the NTD/USD exchange rates. The experimental results show that the proposed method outperforms the existing methods.

Probabilistic fuzzy systems as additive fuzzy systems

NARCIS (Netherlands)

Almeida, R.J.; Verbeek, N.; Kaymak, U.; Costa Sousa, da J.M.; Laurent, A.; Strauss, O.; Bouchon-Meunier, B.; Yager, R.

2014-01-01

Probabilistic fuzzy systems combine a linguistic description of the system behaviour with statistical properties of data. It was originally derived based on Zadeh’s concept of probability of a fuzzy event. Two possible and equivalent additive reasoning schemes were proposed, that lead to the

Models for cooperative games with fuzzy relations among the agents fuzzy communication, proximity relation and fuzzy permission

CERN Document Server

Jiménez-Losada, Andrés

2017-01-01

This book offers a comprehensive introduction to cooperative game theory and a practice-oriented reference guide to new models and tools for studying bilateral fuzzy relations among several agents or players. It introduces the reader to several fuzzy models, each of which is first analyzed in the context of classical games (crisp games) and subsequently in the context of fuzzy games. Special emphasis is given to the value of Shapley, which is presented for the first time in the context of fuzzy games. Students and researchers will find here a self-contained reference guide to cooperative fuzzy games, characterized by a wealth of examples, descriptions of a wide range of possible situations, step-by-step explanations of the basic mathematical concepts involved, and easy-to-follow information on axioms and properties.

Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

Directory of Open Access Journals (Sweden)

Gardašević-Filipović Milanka

2010-01-01

Full Text Available In the paper the fuzzy extension of the Analytic Hierarchy Process (AHP based on fuzzy numbers, and its application in solving a practical problem, are considered. The paper advocates the use of contradictory test to check the fuzzy user preferences during fuzzy AHP decision-making process. We also propose consistency check and deriving priorities from inconsistent fuzzy judgment matrices to be included in the process, in order to check if the fuzzy approach can be applied in the AHP for the problem considered. An aggregation of local priorities obtained at different levels into composite global priorities for the alternatives based on weighted-sum method is also discussed. The contradictory fuzzy judgment matrix is analyzed. Our theoretical consideration has been verified by an application of commercially available Super Decisions program (developed for solving multi-criteria optimization problems using AHP approach on the problem previously treated in the literature. The obtained results are compared with those from the literature. The conclusions are given and the possibilities for further work in the field are pointed out.

Fuzzy weakly preopen (preclosed) function in Kubiak-Sostak fuzzy topological spaces

International Nuclear Information System (INIS)

Zahran, A.M.; Abd-Allah, M. Azab.; Abd El-Rahman, Abd El-Nasser G.

2009-01-01

In this paper, we introduce and characterize fuzzy weakly preopen and fuzzy weakly preclosed functions between L-fuzzy topological spaces in Kubiak-Sostak sense and also study these functions in relation to some other types of already known functions.

Perfil comportamental e cognitivo de crianças com a síndrome de Prader Willi

OpenAIRE

Maria Luiza Guedes de Mesquita

2008-01-01

A Síndrome de Prader Willi (SPW) é uma doença genética de origem paterna causada pela perda de expressão de genes no cromossomo 15. Alguns sintomas patognomônicos da doença são a hiperfagia e a obesidade que, na maioria dos casos, ocorre antes dos seis anos e compromete severamente a qualidade vida desses pacientes. O presente estudo se concentrou na área comportamental e teve como objetivos: - identificar a freqüência diária de comportamentos alimentares e ingestão calórica de crianças com S...

On Fuzzy β-I-open sets and Fuzzy β-I-continuous functions

International Nuclear Information System (INIS)

Keskin, Aynur

2009-01-01

In this paper, first of all we obtain some properties and characterizations of fuzzy β-I-open sets. After that, we also define the notion of β-I-closed sets and obtain some properties. Lastly, we introduce the notions of fuzzy β-I-continuity with the help of fuzzy β-I-open sets to obtain decomposition of fuzzy continuity.

On Fuzzy {beta}-I-open sets and Fuzzy {beta}-I-continuous functions

Energy Technology Data Exchange (ETDEWEB)

Keskin, Aynur [Department of Mathematics, Faculty of Science and Arts, Selcuk University, Campus, 42075 Konya (Turkey)], E-mail: akeskin@selcuk.edu.tr

2009-11-15

In this paper, first of all we obtain some properties and characterizations of fuzzy {beta}-I-open sets. After that, we also define the notion of {beta}-I-closed sets and obtain some properties. Lastly, we introduce the notions of fuzzy {beta}-I-continuity with the help of fuzzy {beta}-I-open sets to obtain decomposition of fuzzy continuity.

Fuzzy stochastic damage mechanics (FSDM based on fuzzy auto-adaptive control theory

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Ya-jun Wang

2012-06-01

Full Text Available In order to fully interpret and describe damage mechanics, the origin and development of fuzzy stochastic damage mechanics were introduced based on the analysis of the harmony of damage, probability, and fuzzy membership in the interval of [0,1]. In a complete normed linear space, it was proven that a generalized damage field can be simulated through β probability distribution. Three kinds of fuzzy behaviors of damage variables were formulated and explained through analysis of the generalized uncertainty of damage variables and the establishment of a fuzzy functional expression. Corresponding fuzzy mapping distributions, namely, the half-depressed distribution, swing distribution, and combined swing distribution, which can simulate varying fuzzy evolution in diverse stochastic damage situations, were set up. Furthermore, through demonstration of the generalized probabilistic characteristics of damage variables, the cumulative distribution function and probability density function of fuzzy stochastic damage variables, which show β probability distribution, were modified according to the expansion principle. The three-dimensional fuzzy stochastic damage mechanical behaviors of the Longtan rolled-concrete dam were examined with the self-developed fuzzy stochastic damage finite element program. The statistical correlation and non-normality of random field parameters were considered comprehensively in the fuzzy stochastic damage model described in this paper. The results show that an initial damage field based on the comprehensive statistical evaluation helps to avoid many difficulties in the establishment of experiments and numerical algorithms for damage mechanics analysis.

ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE

OpenAIRE

Dhruba Das; Hemanta K. Baruah

2015-01-01

In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the Baruah’s Randomness- Fuzziness Consistency Principle. The Randomness-Fuzziness Consistency Principle leads to defining a normal law of fuzziness using two different laws of randomness. In this article, two fuzzy queues FM...

ANALYSIS OF FUZZY QUEUES: PARAMETRIC PROGRAMMING APPROACH BASED ON RANDOMNESS - FUZZINESS CONSISTENCY PRINCIPLE

Directory of Open Access Journals (Sweden)

Dhruba Das

2015-04-01

Full Text Available In this article, based on Zadeh’s extension principle we have apply the parametric programming approach to construct the membership functions of the performance measures when the interarrival time and the service time are fuzzy numbers based on the Baruah’s Randomness- Fuzziness Consistency Principle. The Randomness-Fuzziness Consistency Principle leads to defining a normal law of fuzziness using two different laws of randomness. In this article, two fuzzy queues FM/M/1 and M/FM/1 has been studied and constructed their membership functions of the system characteristics based on the aforesaid principle. The former represents a queue with fuzzy exponential arrivals and exponential service rate while the latter represents a queue with exponential arrival rate and fuzzy exponential service rate.

ARTIFICIAL NEURAL NETWORKS, FUZZY LOGIC AND NEURO-FUZZY SYSTEM IN THE ROLE OF SHORT TERM LOAD FORECAST

OpenAIRE

LUIZ SABINO RIBEIRO NETO

1999-01-01

Esta dissertação investiga o desempenho de técnicas de inteligência computacional na previsão de carga em curto prazo. O objetivo deste trabalho foi propor e avaliar sistemas de redes neurais, lógica nebulosa, neuro-fuzzy e híbridos para previsão de carga em curto prazo, utilizando como entradas variáveis que influenciam o comportamento da carga, tais como: temperatura, índice de conforto e perfil de consumo. Este trabalho envolve 4 etapas principais: um estudo...

Introduction to Fuzzy Set Theory

Science.gov (United States)

Kosko, Bart

1990-01-01

An introduction to fuzzy set theory is described. Topics covered include: neural networks and fuzzy systems; the dynamical systems approach to machine intelligence; intelligent behavior as adaptive model-free estimation; fuzziness versus probability; fuzzy sets; the entropy-subsethood theorem; adaptive fuzzy systems for backing up a truck-and-trailer; product-space clustering with differential competitive learning; and adaptive fuzzy system for target tracking.

Uncertainty analysis of flexible rotors considering fuzzy parameters and fuzzy-random parameters

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Fabian Andres Lara-Molina

Full Text Available Abstract The components of flexible rotors are subjected to uncertainties. The main sources of uncertainties include the variation of mechanical properties. This contribution aims at analyzing the dynamics of flexible rotors under uncertain parameters modeled as fuzzy and fuzzy random variables. The uncertainty analysis encompasses the modeling of uncertain parameters and the numerical simulation of the corresponding flexible rotor model by using an approach based on fuzzy dynamic analysis. The numerical simulation is accomplished by mapping the fuzzy parameters of the deterministic flexible rotor model. Thereby, the flexible rotor is modeled by using both the Fuzzy Finite Element Method and the Fuzzy Stochastic Finite Element Method. Numerical simulations illustrate the methodology conveyed in terms of orbits and frequency response functions subject to uncertain parameters.

The use of a manual-driven group cognitive behavior therapy in a Brazilian sample of obese individuals with binge-eating disorder Utilização de terapia cognitivo-comportamental em grupo baseada em manual em uma amostra brasileira de indivíduos obesos com transtorno da compulsão alimentar periódica

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Mônica Duchesne

2007-03-01

Full Text Available OBJECTIVE: To assess the effectiveness of a manual-based cognitive behavior therapy adapted to a group format in a sample of Brazilian obese subjects with binge-eating disorder. METHOD: In an open trial, 21 obese subjects with binge-eating disorder received a group cognitive-behavioral therapy program. Changes in binge-eating frequency, weight, body shape concerns, and depressive symptoms were compared between baseline and the end of the study. RESULTS: The mean frequency of binge-eating episodes significantly decreased from baseline to post-treatment (p OBJETIVO: Avaliar a efetividade da terapia cognitivo-comportamental baseada em um manual adaptado para o formato de grupo em uma amostra brasileira de obesos com transtorno da compulsão alimentar periódica. MÉTODO: Em um estudo aberto, 21 pacientes obesos com transtorno da compulsão alimentar periódica participaram de um programa da terapia cognitivo-comportamental em grupo. A freqüência da compulsão alimentar, o peso corporal, o grau de satisfação com a forma corporal e os sintomas depressivos foram avaliados no início do tratamento e no final do estudo. RESULTADOS: Houve uma redução estatisticamente significativa da freqüência média de episódios de compulsão alimentar entre a linha de base e o final do tratamento (p < 0,001, com uma taxa de remissão de episódios no final do estudo de 76,1%. Foi observada, também, uma redução significativa dos sintomas depressivos e da insatisfação com a forma corporal (p < 0,001. Adicionalmente, a perda de peso foi clínica e estatisticamente significativa. CONCLUSÃO: A utilização de terapia cognitivo-comportamental baseada em um manual adaptado para o transtorno da compulsão alimentar periódica resultou em melhora significativa da compulsão alimentar, do peso corporal, da preocupação com a forma corporal e dos sintomas depressivos associados ao transtorno da compulsão alimentar periódica nessa amostra.

Statistical Methods for Fuzzy Data

CERN Document Server

Viertl, Reinhard

2011-01-01

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy m

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...

A neuro-fuzzy system to support in the diagnostic of epileptic events and non-epileptic events using different fuzzy arithmetical operations Um sistema neuro-difuso para auxiliar no diagnóstico de eventos epilépticos e eventos não epilépticos utilizando diferentes operações aritméticas difusas

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Lucimar M.F. de Carvalho

2008-06-01

Full Text Available OBJECTIVE: To investigate different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic events. METHOD: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication architecture and an artificial neural network with backpropagation learning algorithm (ANNB. RESULTS: The study was composed by 244 patients with a bigger frequency of the feminine sex. The number of right decisions at the test phase, obtained by the NEFCLASS and ANNB was 83.60% and 90.16%, respectively. The best sensibility result was attained by NEFCLASS (84.90%; the best specificity result were attained by ANNB with 95.65%. CONCLUSION: The proposed neuro-fuzzy system combined the artificial neural network capabilities in the pattern classifications together with the fuzzy logic qualitative approach, leading to a bigger rate of system success.OBJETIVO: Investigar diferentes operações aritméticas difusas para auxíliar no diagnóstico de eventos epilépticos e eventos não-epilépticos. MÉTODO: Um sistema neuro-difuso foi desenvolvido utilizando a arquitetura NEFCLASS (NEuro Fuzzy CLASSIfication e uma rede neural artificial com o algoritmo de aprendizagem backpropagation (RNAB. RESULTADOS: A amostra estudada foi de 244 pacientes com maior freqüência no sexo feminino. O número de decisões corretas na fase de teste, obtidas através do NEFCLASS e RNAB foi de 83,60% e 90,16%, respectivamente. O melhor resultado de sensibilidade foi obtido com o NEFCLASS (84,90%; o melhor resultado de especificidade foi obtido com a RNAB (95,65%. CONCLUSÃO: O sistema neuro-difuso proposto combinou a capacidade das redes neurais artificiais na classificação de padrões juntamente com a abordagem qualitativa da logica difusa, levando a maior taxa de acertos do sistema.

Fuzzy Arden Syntax: A fuzzy programming language for medicine.

Science.gov (United States)

Vetterlein, Thomas; Mandl, Harald; Adlassnig, Klaus-Peter

2010-05-01

The programming language Arden Syntax has been optimised for use in clinical decision support systems. We describe an extension of this language named Fuzzy Arden Syntax, whose original version was introduced in S. Tiffe's dissertation on "Fuzzy Arden Syntax: Representation and Interpretation of Vague Medical Knowledge by Fuzzified Arden Syntax" (Vienna University of Technology, 2003). The primary aim is to provide an easy means of processing vague or uncertain data, which frequently appears in medicine. For both propositional and number data types, fuzzy equivalents have been added to Arden Syntax. The Boolean data type was generalised to represent any truth degree between the two extremes 0 (falsity) and 1 (truth); fuzzy data types were introduced to represent fuzzy sets. The operations on truth values and real numbers were generalised accordingly. As the conditions to decide whether a certain programme unit is executed or not may be indeterminate, a Fuzzy Arden Syntax programme may split. The data in the different branches may be optionally aggregated subsequently. Fuzzy Arden Syntax offers the possibility to formulate conveniently Medical Logic Modules (MLMs) based on the principle of a continuously graded applicability of statements. Furthermore, ad hoc decisions about sharp value boundaries can be avoided. As an illustrative example shows, an MLM making use of the features of Fuzzy Arden Syntax is not significantly more complex than its Arden Syntax equivalent; in the ideal case, a programme handling crisp data remains practically unchanged when compared to its fuzzified version. In the latter case, the output data, which can be a set of weighted alternatives, typically depends continuously from the input data. In typical applications an Arden Syntax MLM can produce a different output after only slight changes of the input; discontinuities are in fact unavoidable when the input varies continuously but the output is taken from a discrete set of possibilities

Intuitionistic fuzzy logics

CERN Document Server

T Atanassov, Krassimir

2017-01-01

The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the author’s research and others’ findings, it provides readers with a complete overview of the field and highlights key issues and open problems, thus suggesting new research directions. Starting with an introduction to the basic elements of intuitionistic fuzzy propositional calculus, it then provides a guide to the use of intuitionistic fuzzy operators and quantifiers, and lastly presents state-of-the-art applications of intuitionistic fuzzy sets. The book is a valuable reference resource for graduate students and researchers alike.

Terapia cognitivo-comportamental da fobia social: modelos e técnicas

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Gustavo J. Fonseca D'El Rey

2006-08-01

Full Text Available A fobia social é um dos transtornos mentais mais prevalentes na população geral. As principais formas de tratamento são a psicoterapia e a farmacoterapia. Este artigo tem como objetivo realizar uma breve revisão bibliográfica dos mais importantes modelos e técnicas cognitivas e comportamentais da fobia social. Os modelos antigos - modelo de déficit de habilidades sociais, modelo de crenças irracionais, modelo da vulnerabilidade cognitiva e os modelos integrativos - serão revisados brevemente. Serão apresentadas as técnicas de tratamento - como a exposição, reestruturação cognitiva, técnicas de relaxamento e treino de habilidades sociais. Estudos de metaanálise sobre a eficácia da terapia cognitivo-comportamental no tratamento da fobia social também serão descritos.La fobia social es uno de los trastornos mentales más prevalentes en la población general. Las principales formas de tratamiento son la psicoterapia y la farmacoterapia. Este artículo posee como objetivo realizar una breve revisión bibliográfica de los más importantes modelos y técnicas cognitivas y comportamentales de la fobia social. Los modelos antiguos - modelo de déficit de habilidades sociales, modelo de creencias irracionales, modelo de la vulnerabilidad cognitiva y los modelos integrativos - serán revisados brevemente. Serán presentadas las técnicas de tratamiento - como la exposición, reestructuración cognitiva, técnicas de relajamiento y entrenamiento de habilidades sociales. Estudios de metaanálisis sobre la eficacia de la terapia cognitivo-comportamental en el tratamiento de la fobia social también serán descritos.Social phobia is a widespread mental disorder in the general population. The main forms of treatment are psychotherapy and pharmacotherapy. This article has as objective to carry out a brief bibliographical review of the most important cognitive and behavior models and techniques of social phobia. The old models - social

(L,M-Fuzzy σ-Algebras

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Fu-Gui Shi

2010-01-01

Full Text Available The notion of (L,M-fuzzy σ-algebras is introduced in the lattice value fuzzy set theory. It is a generalization of Klement's fuzzy σ-algebras. In our definition of (L,M-fuzzy σ-algebras, each L-fuzzy subset can be regarded as an L-measurable set to some degree.

Recurrent fuzzy ranking methods

Science.gov (United States)

Hajjari, Tayebeh

2012-11-01

With the increasing development of fuzzy set theory in various scientific fields and the need to compare fuzzy numbers in different areas. Therefore, Ranking of fuzzy numbers plays a very important role in linguistic decision-making, engineering, business and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques has been shown to produce non-intuitive results in certain case. In this paper, we reviewed some recent ranking methods, which will be useful for the researchers who are interested in this area.

Fuzzy production planning models for an unreliable production system with fuzzy production rate and stochastic/fuzzy demand rate

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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.

Avaliação audiológica comportamental e eletrofisiológica no transtorno do espectro do autismo

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Ana Carla Leite Romero

2014-06-01

Full Text Available Objetivo descrever os achados das avaliações audiológicas comportamentais e eletrofisiológicas de pacientes com diagnóstico de transtorno do espectro do autismo. Métodos estudo descritivo, de coorte contemporânea com corte transversal, composto por nove pacientes com diagnóstico de transtorno do espectro do autismo, submetidos a avaliação comportamental e eletrofisiológica da audição. Os resultados foram analisados por meio de estatística descritiva. Resultados todos os pacientes avaliados apresentaram limiares audiométricos dentro dos padrões de normalidade. Oito pacientes apresentaram curva timpanométrica do tipo A, e um do tipo C. Observou-se emissões otoacústicas por produto de distorção presentes em todos os pacientes avaliados. Os resultados do potencial evocado auditivo de tronco encefálico demonstraram integridade das vias auditiva. Conclusão a população estudada apresentou resultados compatíveis com a normalidade tanto na avaliação comportamental como na avaliação eletrofisiológica da audição. Pelo fato de não haver consenso, na literatura especializada, quanto aos achados audiológicos nesta população, principalmente no que se refere à avaliação eletrofisiológica do processamento auditivo, sugere-se a realização de novos estudos.

Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries

DEFF Research Database (Denmark)

Hudec, Miroslav; Sudzina, Frantisek

Flexible query conditions could use linguistic terms described by fuzzy sets. The question is how to properly construct fuzzy sets for each linguistic term and apply an adequate aggregation function. For construction of fuzzy sets, the lowest value, the highest value of attribute...... and the distribution of data inside its domain are used. The logarithmic transformation of domains appears to be suitable. This way leads to a balanced distribution of tuples over fuzzy sets. In addition, users’ opinions about linguistic terms as well as current content in database are merged. The second investigated...

Fuzzy social choice theory

CERN Document Server

B Gibilisco, Michael; E Albert, Karen; N Mordeson, John; J Wierman, Mark; D Clark, Terry

2014-01-01

This book offers a comprehensive analysis of the social choice literature and shows, by applying fuzzy sets, how the use of fuzzy preferences, rather than that of strict ones, may affect the social choice theorems. To do this, the book explores the presupposition of rationality within the fuzzy framework and shows that the two conditions for rationality, completeness and transitivity, do exist with fuzzy preferences. Specifically, this book examines: the conditions under which a maximal set exists; the Arrow’s theorem;  the Gibbard-Satterthwaite theorem; and the median voter theorem.  After showing that a non-empty maximal set does exists for fuzzy preference relations, this book goes on to demonstrating the existence of a fuzzy aggregation rule satisfying all five Arrowian conditions, including non-dictatorship. While the Gibbard-Satterthwaite theorem only considers individual fuzzy preferences, this work shows that both individuals and groups can choose alternatives to various degrees, resulting in a so...

Relations Among Some Fuzzy Entropy Formulae

Institute of Scientific and Technical Information of China (English)

卿铭

2004-01-01

Fuzzy entropy has been widely used to analyze and design fuzzy systems, and many fuzzy entropy formulae have been proposed. For further in-deepth analysis of fuzzy entropy, the axioms and some important formulae of fuzzy entropy are introduced. Some equivalence results among these fuzzy entropy formulae are proved, and it is shown that fuzzy entropy is a special distance measurement.

New fuzzy EWMA control charts for monitoring phase II fuzzy profiles

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Ghazale Moghadam

2016-01-01

Full Text Available In many quality control applications, the quality of a process or product is explained by the relationship between response variable and one or more explanatory variables, called a profile. In this paper, a new fuzzy EWMA control chart for phase II fuzzy profile monitoring is proposed. To this end, we extend EWMA control charts to its equivalent Fuzzy type and then implement fuzzy ranking methods to determine whether the process fuzzy profile is under or out of control. The proposed method is capable of identifying small changes in process under condition of process profile explaining parameters vagueness, roughness and uncertainty. Determining the source of changes, this method provides us with the possibility of recognizing the causes of process transition from stable mode, removing these causes and restoring the process stable mode.

Treinamento físico intervalado como ferramenta na terapia cognitivo-comportamental do transtorno de pânico

OpenAIRE

Sardinha, Aline; Araújo, Claudio Gil Soares de; Nardi, Antonio Egidio

2011-01-01

Este trabalho consiste no relato da utilização de um programa de exercícios físicos aeró-bicos intervalados no contexto da terapia cognitivo-comportamental em um caso de transtorno de pânico e agorafobia. São descritos os procedimentos utilizados, bem como os resultados positivos obtidos na redução da ansiedade cardíaca e na ansiedade cotidiana em relação a situações que exigem esforço físico. The present article reports the use of an interval aerobic exercise program as an adjunct interve...

Full remission and relapse of obsessive-compulsive symptoms after cognitive-behavioral group therapy: a two-year follow-up Remissão completa e recaídas dos sintomas obsessivo-compulsivos depois da terapia cognitivo-comportamental em grupo: dois anos de acompanhamento

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Daniela Tusi Braga

2010-06-01

Full Text Available OBJECTIVE: The aim of this study was to assess whether the results obtained with 12 sessions of cognitive-behavioral group therapy with obsessive-compulsive patients were maintained after two years, and whether the degree of symptom remission was associated with relapse. METHOD: Forty-two patients were followed. The severity of symptoms was measured at the end of cognitive-behavioral group therapy and at 18 and 24 months of follow-up. The assessment scales used were the Yale-Brown Obsessive-Compulsive Scale, Clinical Global Impression, Beck Depression Inventory, and Beck Anxiety Inventory. RESULTS: The reduction in symptom severity observed at the end of treatment was maintained during the two-year follow-up period (F = 57.881; p OBJETIVO: Avaliar se os resultados obtidos com 12 sessões de terapia cognitivo-comportamental em grupo para pacientes com transtorno obsessivo-compulsivo foram mantidos depois de dois anos do final do tratamento e se o grau de remissão dos sintomas esteve associado às recaídas. MÉTODO: Quarenta e dois pacientes foram acompanhados. A gravidade dos sintomas foi avaliada no final da terapia cognitivo-comportamental em grupo, 18 e 24 meses após o término do tratamento. As escalas utilizadas para avaliação foram Yale-Brown Obsessive-Compulsive Scale, Clinical Global Impression, Beck Depression Inventory e Beck Anxiety Inventory. RESULTADOS: A redução da gravidade dos sintomas observada no final do tratamento foi mantida durante o período de dois anos de acompanhamento (F = 57,881; p < 0,001. Ao final do tratamento, 9 (21,4% pacientes apresentaram remissão completa, 22 (52,4% remissão parcial e 11 (26,2% não apresentaram mudança na Yale-Brown Obsessive-Compulsive Scale. Dois anos depois, 13 pacientes (31,0% apresentaram remissão completa dos sintomas, 20 (47,6% apresentaram remissão parcial, e 9 (21,4% não apresentaram mudança na Yale-Brown Obsessive-Compulsive Scale. A remissão completa dos sintomas ao

Inference of RMR value using fuzzy set theory and neuro-fuzzy techniques

Energy Technology Data Exchange (ETDEWEB)

Bae, Gyu-Jin; Cho, Mahn-Sup [Korea Institute of Construction Technology, Koyang(Korea)

2001-12-31

In the design of tunnel, it contains inaccuracy of data, fuzziness of evaluation, observer error and so on. The face observation during tunnel excavation, therefore, plays an important role to raise stability and to reduce supporting cost. This study is carried out to minimize the subjectiveness of observer and to exactly evaluate the natural properties of ground during the face observation. For these purpose, fuzzy set theory and neuro-fuzzy techniques in artificial intelligent techniques are applied to the inference of the RMR(Rock Mass Rating) value from the observation data. The correlation between original RMR value and inferred RMR{sub {sub F}U} and RMR{sub {sub N}F} values from fuzzy Set theory and neuro-fuzzy techniques is investigated using 46 data. The results show that good correlation between original RMR value and inferred RMR{sub {sub F}U} and RMR{sub {sub N}F} values is observed when the correlation coefficients are |R|=0.96 and |R|=0.95 respectively. >From these results, applicability of fuzzy set theory and neuro-fuzzy techniques to rock mass classification is proved to be sufficiently high enough. (author). 17 refs., 5 tabs., 9 figs.

Outdoor altitude stabilization of QuadRotor based on type-2 fuzzy and fuzzy PID

Science.gov (United States)

Wicaksono, H.; Yusuf, Y. G.; Kristanto, C.; Haryanto, L.

2017-11-01

This paper presents a design of altitude stabilization of QuadRotor based on type-2 fuzzy and fuzzy PID. This practical design is implemented outdoor. Barometric and sonar sensor were used in this experiment as an input for the controller YoHe. The throttle signal as a control input was provided by the controller to leveling QuadRotor in particular altitude and known well as altitude stabilization. The parameter of type-2 fuzzy and fuzzy PID was tuned in several heights to get the best control parameter for any height. Type-2 fuzzy produced better result than fuzzy PID but had a slow response in the beginning.

ps-ro Fuzzy Open(Closed Functions and ps-ro Fuzzy Semi-Homeomorphism

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Pankaj Chettri

2015-11-01

Full Text Available The aim of this paper is to introduce and characterize some new class of functions in a fuzzy topological space termed as ps-ro fuzzy open(closed functions, ps-ro fuzzy pre semiopen functions and ps-ro fuzzy semi-homeomorphism. The interrelation among these concepts and also their relations with the parallel existing concepts are established. It is also shown with the help of examples that these newly introduced concepts are independent of the well known existing allied concepts.

Determination of interrill soil erodibility coefficient based on Fuzzy and Fuzzy-Genetic Systems

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Habib Palizvan Zand

2017-02-01

Full Text Available Introduction: Although the fuzzy logic science has been used successfully in various sudies of hydrology and soil erosion, but in literature review no article was found about its performance for estimating of interrill erodibility. On the other hand, studies indicate that genetic algorithm techniques can be used in fuzzy models and finding the appropriate membership functions for linguistic variables and fuzzy rules. So this study was conducted to develop the fuzzy and fuzzy–genetics models and investigation of their performance in the estimation of soil interrill erodibility factor (Ki. Materials and Methods: For this reason 36 soil samples with different physical and chemical properties were collected from west of Azerbaijan province . soilsamples were also taken from the Ap or A horizon of each soil profile. The samples were air-dried , sieved and Some soil characteristics such as soil texture, organic matter (OM, cation exchange capacity (CEC, sodium adsorption ratio (SAR, EC and pH were determined by the standard laboratory methods. Aggregates size distributions (ASD were determined by the wet-sieving method and fractal dimension of soil aggregates (Dn was also calculated. In order to determination of soil interrill erodibility, the flume experiment performed by packing soil a depth of 0.09-m in 0.5 × 1.0 m. soil was saturated from the base and adjusted to 9% slope and was subjected to at least 90 min rainfall . Rainfall intensity treatments were 20, 37 and 47 mm h-1. During each rainfall event, runoff was collected manually in different time intervals, being less than 60 s at the beginning, up to 15 min near the end of the test. At the end of the experiment, the volumes of runoff samples and the mass of sediment load at each time interval were measured. Finally interrill erodibility values were calculated using Kinnell (11 Equation. Then by statistical analyses Dn and sand percent of the soils were selected as input variables and Ki as

Foundations Of Fuzzy Control

DEFF Research Database (Denmark)

Jantzen, Jan

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...... 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...

Properties of Bipolar Fuzzy Hypergraphs

OpenAIRE

Akram, M.; Dudek, W. A.; Sarwar, S.

2013-01-01

In this article, we apply the concept of bipolar fuzzy sets to hypergraphs and investigate some properties of bipolar fuzzy hypergraphs. We introduce the notion of $A-$ tempered bipolar fuzzy hypergraphs and present some of their properties. We also present application examples of bipolar fuzzy hypergraphs.

A perspectiva cognitivo-comportamental dos aspectos psicossociais que interferem na qualidade da relação médico-paciente

Directory of Open Access Journals (Sweden)

Janaína Bianca Barletta

2011-12-01

Full Text Available Este artigo tem por objetivo abordar os aspectos psicossociais que mediam a qualidade da relação médico-paciente com base em uma concepção cognitivo-comportamental. Para tanto, é feita uma breve revisão sobre os aspectos da relação de ajuda. Ressalta-se a importância da qualidade da relação estabelecida, destacando a participação de ambos na tomada de decisão e a relação colaborativa, empática e bidirecional. Assim, as crenças, necessidades específicas e características pessoais ganham lugar de destaque. Além disso, a organização empregadora, a equipe de saúde, o meio social e os familiares vão interferir na dinâmica da relação. O suporte social e a comunicação terapêutica são outros componentes da multifatorialidade desse processo. A relação positiva permite o aparecimento de fatores de predisposição da doença, facilita o treino de habilidades assertivas de enfrentamento, a reestruturação cognitiva e a reeducação emocional, resultando na construção de respostas adaptativas a situações adversas.

Word Similarity from Dictionaries: Inferring Fuzzy Measures from Fuzzy Graphs

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Vicenc Torra

2008-01-01

Full Text Available WORD SIMILARITY FROM DICTIONARIES: INFERRING FUZZY MEASURES FROM FUZZY GRAPHS The computation of similarities between words is a basic element of information retrieval systems, when retrieval is not solely based on word matching. In this work we consider a measure between words based on dictionaries. This is achieved assuming that a dictionary is formalized as a fuzzy graph. We show that the approach permits to compute measures not only for pairs of words but for sets of them.

Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection.

Science.gov (United States)

Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

2016-01-01

Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed.

(Fuzzy) Ideals of BN-Algebras

Science.gov (United States)

Walendziak, Andrzej

2015-01-01

The notions of an ideal and a fuzzy ideal in BN-algebras are introduced. The properties and characterizations of them are investigated. The concepts of normal ideals and normal congruences of a BN-algebra are also studied, the properties of them are displayed, and a one-to-one correspondence between them is presented. Conditions for a fuzzy set to be a fuzzy ideal are given. The relationships between ideals and fuzzy ideals of a BN-algebra are established. The homomorphic properties of fuzzy ideals of a BN-algebra are provided. Finally, characterizations of Noetherian BN-algebras and Artinian BN-algebras via fuzzy ideals are obtained. PMID:26125050

Design of a fuzzy logic based controller for neutron power regulation; Diseno de un controlador basado en logica difusa para la regulacion de flujo neutronico

Energy Technology Data Exchange (ETDEWEB)

Velez D, D

2000-07-01

This work presents a fuzzy logic controller design for neutron power control, from its source to its full power level, applied to a nuclear reactor model. First, we present the basic definitions on fuzzy sets as generalized definitions of the crisp (non fuzzy) set theory. Likewise, we define the basic operations on fuzzy sets (complement, union, and intersection), and the operations on fuzzy relations such as projection and cylindrical extension operations. Furthermore, some concepts of the fuzzy control theory, such as the main modules of the typical fuzzy controller structure and its internal variables, are defined. After the knowledge base is obtained by simulation of the reactor behavior, where the controlled system is modeled by a simple nonlinear reactor model, this model is used to infer a set of fuzzy rules for the reactor response to different insertions of reactivity. The reduction of the response time, using fuzzy rule based controllers on this reactor, is possible by adjusting the output membership functions, by selecting fuzzy rule sets, or by increasing the number of crisp inputs to the fuzzy controller. System characteristics, such as number of rules, response times, and safety parameter values, were considered in the evaluation of each controller merits. Different fuzzy controllers are designed to attain the desired power level, to maintain a constant level for long periods of time, and to keep the reactor away from a shutdown condition. The basic differences among the controllers are the number of crisp inputs and the novel implementation of a crisp power level-based selection of different sets of output membership functions. Simulation results highlight, mainly: (1) A decrease of the response variations at low power level, and (2) a decrease in the time required to attain the desired neutron power. Finally, we present a comparative study of different fuzzy control algorithms applied to a nuclear model. (Author)

An Application of Fuzzy Inference System by Clustering Subtractive Fuzzy Method for Estimating of Product Requirement

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Fajar Ibnu Tufeil

2009-06-01

Full Text Available Model fuzzy memiliki kemampuan untuk menjelaskan secara linguistik suatu sistem yang terlalu kompleks. Aturan-aturan dalam model fuzzy pada umumnya dibangun berdasarkan keahlian manusia dan pengetahuan heuristik dari sistem yang dimodelkan. Teknik ini selanjutnya dikembangkan menjadi teknik yang dapat mengidentifikasi aturan-aturan dari suatu basis data yang telah dikelompokkan berdasarkan persamaan strukturnya. Dalam hal ini metode pengelompokan fuzzy berfungsi untuk mencari kelompok-kelompok data. Informasi yang dihasilkan dari metode pengelompokan ini, yaitu informasi tentang pusat kelompok, digunakan untuk membentuk aturan-aturan dalam sistem penalaran fuzzy. Dalam skripsi ini dibahas mengenai penerapan fuzzy infereance system dengan metode pengelompokan fuzzy subtractive clustering, yaitu untuk membentuk sistem penalaran fuzzy dengan menggunakan model fuzzy Takagi-Sugeno orde satu. Selanjutnya, metode pengelompokan fuzzy subtractive clustering diterapkan dalam memodelkan masalah dibidang pemasaran, yaitu untuk memprediksi permintaan pasar terhadap suatu produk susu. Aplikasi ini dibangun menggunakan Borland Delphi 6.0. Dari hasil pengujian diperoleh tingkat error prediksi terkecil yaitu dengan Error Average 0.08%.

Ecosystem approach and the Fuzzy logic: a dialectical proposal for information on Environmental Health Abordagem ecossistêmica e lógica Fuzzy: uma proposta dialética para o uso da informação em Saúde Ambiental

Directory of Open Access Journals (Sweden)

Daniel Canavese

2012-12-01

Full Text Available The ever-growing production and the problematization of Environmental Health have shown the need to apprehend complex realities and deal with uncertainties from the most diversified instruments which may even incorporate local aspects and subjectivities by means of qualitative realities, while broadening the capacity of the information system. This paper presents a view on the reflection upon some challenges and possible convergences between the ecosystemic approach and the Fuzzy logic in the process of dealing with scientific information and decision-making in Environmental Health.O avanço da produção intelectual sobre Saúde e Ambiente tem demonstrado a necessidade de apreender realidades que são complexas, além de lidar com suas incertezas. Nesse sentido, os instrumentos utilizados deveriam incorporar aspectos subjetivos e qualitativos, além dos elementos de cunho quantitativo, ao retratar uma condição local. Esse artigo apresenta uma reflexão a respeito dos desafios e dos possíveis pontos de convergência entre uma abordagem ecossistêmica e a lógica Fuzzy nesse processo de lidar com a informação para apoio a tomada de decisão envolvendo Saúde e Ambiente.

Fuzzy control and identification

CERN Document Server

Lilly, John H

2010-01-01

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.

Fuzzy pharmacology: theory and applications.

Science.gov (United States)

Sproule, Beth A; Naranjo, Claudio A; Türksen, I Burhan

2002-09-01

Fuzzy pharmacology is a term coined to represent the application of fuzzy logic and fuzzy set theory to pharmacological problems. Fuzzy logic is the science of reasoning, thinking and inference that recognizes and uses the real world phenomenon that everything is a matter of degree. It is an extension of binary logic that is able to deal with complex systems because it does not require crisp definitions and distinctions for the system components. In pharmacology, fuzzy modeling has been used for the mechanical control of drug delivery in surgical settings, and work has begun evaluating its use in other pharmacokinetic and pharmacodynamic applications. Fuzzy pharmacology is an emerging field that, based on these initial explorations, warrants further investigation.

Fuzzy data analysis

CERN Document Server

Bandemer, Hans

1992-01-01

Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common. In Fuzzy Data Analysis the authors collect their recent results providing the reader with ideas, approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship, e.g. in order to specify diagnostic or control systems. The modelling presented uses ideas from fuzzy set theory and the suggested methods solve problems usually tackled by data analysis if the data are real numbers. Fuzzy Data Analysis is self-contained and is addressed to mathematicians oriented towards applications and to practitioners in any field of application who have some background in mathematics and statistics.

Compound Option Pricing under Fuzzy Environment

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Xiandong Wang

2014-01-01

Full Text Available Considering the uncertainty of a financial market includes two aspects: risk and vagueness; in this paper, fuzzy sets theory is applied to model the imprecise input parameters (interest rate and volatility. We present the fuzzy price of compound option by fuzzing the interest and volatility in Geske’s compound option pricing formula. For each α, the α-level set of fuzzy prices is obtained according to the fuzzy arithmetics and the definition of fuzzy-valued function. We apply a defuzzification method based on crisp possibilistic mean values of the fuzzy interest rate and fuzzy volatility to obtain the crisp possibilistic mean value of compound option price. Finally, we present a numerical analysis to illustrate the compound option pricing under fuzzy environment.

Fuzzy measures and integrals

Czech Academy of Sciences Publication Activity Database

Mesiar, Radko

2005-01-01

Roč. 28, č. 156 (2005), s. 365-370 ISSN 0165-0114 R&D Projects: GA ČR(CZ) GA402/04/1026 Institutional research plan: CEZ:AV0Z10750506 Keywords : fuzzy measures * fuzzy integral * regular fuzzy integral Subject RIV: BA - General Mathematics Impact factor: 1.039, year: 2005

Fuzzy Control Tutorial

DEFF Research Database (Denmark)

Dotoli, M.; Jantzen, Jan

1999-01-01

The tutorial concerns automatic control of an inverted pendulum, especially rule based control by means of fuzzy logic. A ball balancer, implemented in a software simulator in Matlab, is used as a practical case study. The objectives of the tutorial are to teach the basics of fuzzy control......, and to show how to apply fuzzy logic in automatic control. The tutorial is distance learning, where students interact one-to-one with the teacher using e-mail....

Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab

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Afan Galih Salman

2010-12-01

Full Text Available Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and evolutionary computing. Fuzzy logic has the ability to develop fuzzy system that is intelligent system in uncertain environment. Some stages in fuzzy system formation process is input and output analysis, determining input and output variable, defining each fuzzy set member function, determining rules based on experience or knowledge of an expert in his field, and implementing fuzzy system. Overall, fuzzy logic uses simple mathematical concept, understandable, detectable uncertain and accurate data. Fuzzy system could create and apply expert experiences directly without exercise process and effort to decode the knowledge into a computer until becoming a modeling system that could be relied on decision making.

Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance

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Abdolhamid Safaei Ghadikolaei

2014-09-01

Full Text Available Multi Criteria Decision Making (MCDM is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE.for this purpose Fuzzy analytic hierarchy process (FAHP is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS method. The finding of this study showed effective of this approach in evaluating financial performance.

Fuzzy Graph Language Recognizability

OpenAIRE

Kalampakas , Antonios; Spartalis , Stefanos; Iliadis , Lazaros

2012-01-01

Part 5: Fuzzy Logic; International audience; Fuzzy graph language recognizability is introduced along the lines of the established theory of syntactic graph language recognizability by virtue of the algebraic structure of magmoids. The main closure properties of the corresponding class are investigated and several interesting examples of fuzzy graph languages are examined.

Safety critical application of fuzzy control

International Nuclear Information System (INIS)

Schildt, G.H.

1995-01-01

After an introduction into safety terms a short description of fuzzy logic will be given. Especially, for safety critical applications of fuzzy controllers a possible controller structure will be described. The following items will be discussed: Configuration of fuzzy controllers, design aspects like fuzzfiication, inference strategies, defuzzification and types of membership functions. As an example a typical fuzzy rule set will be presented. Especially, real-time behaviour a fuzzy controllers is mentioned. An example of fuzzy controlling for temperature control purpose within a nuclear reactor together with membership functions and inference strategy of such a fuzzy controller will be presented. (author). 4 refs, 17 figs

Radiation protection and fuzzy set theory

International Nuclear Information System (INIS)

Nishiwaki, Y.

1993-01-01

In radiation protection we encounter a variety of sources of uncertainties which are due to fuzziness in our cognition or perception of objects. For systematic treatment of this type of uncertainty, the concepts of fuzzy sets or fuzzy measures could be applied to construct system models, which may take into consideration both subjective or intrinsic fuzziness and objective or extrinsic fuzziness. The theory of fuzzy sets and fuzzy measures is still in a developing stage, but its concept may be applied to various problems of subjective perception of risk, nuclear safety, radiation protection and also to the problems of man-machine interface and human factor engineering or ergonomic

Fuzziness and fuzzy modelling in Bulgaria's energy policy decision-making dilemma

International Nuclear Information System (INIS)

Wang Xingquan

2006-01-01

The decision complexity resulting from imprecision in decision variables and parameters, a major difficulty for conventional decision analysis methods, can be relevantly analysed and modelled by fuzzy logic. Bulgaria's nuclear policy decision-making process implicates such complexity of imprecise nature: stakeholders, criteria, measurement, etc. Given the suitable applicability of fuzzy logic in this case, this article tries to offer a concrete fuzzy paradigm including delimitation of decision space, quantification of imprecise variables, and, of course, parameterisation. (author)

Dimensiones de la competencia comunicativa intercultural (CCI y sus implicaciones para la práctica educativa

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Susan Sanhueza

2013-01-01

Full Text Available La competencia comunicativa intercultural se entiende como las habilidades que emplean los individuos culturalmente diferentes para favorecer un grado de comunicación suficientemente eficaz, estableciendo comportamientos apropiados y efectivos en determinado contexto social y cultural. Desde esta perspectiva, el trabajo tiene como objetivos: (a analizar el concepto de la comunicación intercultural describiendo sus dimensiones: cognitiva, comportamental y afectiva; (b proporcionar elementos de reflexión para el desarrollo de la competencia comunicativa intercultural en las prácticas educativas. En el ámbito educativo, se espera que profesores y alumnos desarrollen de la mejor manera posible la interacción, anticipen malentendidos causados por las diferencias en valores, significados y creencias entre los actores involucrados, y puedan hacer frente tanto a demandas afectivas como cognitivas en la interacción.

Fuzzy combination of fuzzy and switching state-feedback controllers for nonlinear systems subject to parameter uncertainties.

Science.gov (United States)

Lam, H K; Leung, Frank H F

2005-04-01

This paper presents a fuzzy controller, which involves a fuzzy combination of local fuzzy and global switching state-feedback controllers, for nonlinear systems subject to parameter uncertainties with known bounds. The nonlinear system is represented by a fuzzy combined Takagi-Sugeno-Kang model, which is a fuzzy combination of the global and local fuzzy plant models. By combining the local fuzzy and global switching state-feedback controllers using fuzzy logic techniques, the advantages of both controllers can be retained and the undesirable chattering effect introduced by the global switching state-feedback controller can be eliminated. The steady-state error introduced by the global switching state-feedback controller when a saturation function is used can also be removed. Stability conditions, which are related to the system matrices of the local and global closed-loop systems, are derived to guarantee the closed-loop system stability. An application example will be given to demonstrate the merits of the proposed approach.

[Predicting Incidence of Hepatitis E in Chinausing Fuzzy Time Series Based on Fuzzy C-Means Clustering Analysis].

Science.gov (United States)

Luo, Yi; Zhang, Tao; Li, Xiao-song

2016-05-01

To explore the application of fuzzy time series model based on fuzzy c-means clustering in forecasting monthly incidence of Hepatitis E in mainland China. Apredictive model (fuzzy time series method based on fuzzy c-means clustering) was developed using Hepatitis E incidence data in mainland China between January 2004 and July 2014. The incidence datafrom August 2014 to November 2014 were used to test the fitness of the predictive model. The forecasting results were compared with those resulted from traditional fuzzy time series models. The fuzzy time series model based on fuzzy c-means clustering had 0.001 1 mean squared error (MSE) of fitting and 6.977 5 x 10⁻⁴ MSE of forecasting, compared with 0.0017 and 0.0014 from the traditional forecasting model. The results indicate that the fuzzy time series model based on fuzzy c-means clustering has a better performance in forecasting incidence of Hepatitis E.

The foundations of fuzzy control

CERN Document Server

Lewis, Harold W

1997-01-01

Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new viewpoint on why fuzzy control is more popular in some countries than in others. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.

Introduction to fuzzy logic using Matlab

CERN Document Server

Sivanandam, SN; Deepa, S N

2006-01-01

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

A Fuzzy Query Mechanism for Human Resource Websites

Science.gov (United States)

Lai, Lien-Fu; Wu, Chao-Chin; Huang, Liang-Tsung; Kuo, Jung-Chih

Users' preferences often contain imprecision and uncertainty that are difficult for traditional human resource websites to deal with. In this paper, we apply the fuzzy logic theory to develop a fuzzy query mechanism for human resource websites. First, a storing mechanism is proposed to store fuzzy data into conventional database management systems without modifying DBMS models. Second, a fuzzy query language is proposed for users to make fuzzy queries on fuzzy databases. User's fuzzy requirement can be expressed by a fuzzy query which consists of a set of fuzzy conditions. Third, each fuzzy condition associates with a fuzzy importance to differentiate between fuzzy conditions according to their degrees of importance. Fourth, the fuzzy weighted average is utilized to aggregate all fuzzy conditions based on their degrees of importance and degrees of matching. Through the mutual compensation of all fuzzy conditions, the ordering of query results can be obtained according to user's preference.

Fuzzy Rough Ring and Its Prop erties

Institute of Scientific and Technical Information of China (English)

REN Bi-jun; FU Yan-ling

2013-01-01

This paper is devoted to the theories of fuzzy rough ring and its properties. The fuzzy approximation space generated by fuzzy ideals and the fuzzy rough approximation operators were proposed in the frame of fuzzy rough set model. The basic properties of fuzzy rough approximation operators were analyzed and the consistency between approximation operators and the binary operation of ring was discussed.

CHARACTERIZATIONS OF FUZZY SOFT PRE SEPARATION AXIOMS

OpenAIRE

El-Latif, Alaa Mohamed Abd

2015-01-01

− The notions of fuzzy pre open soft sets and fuzzy pre closed soft sets were introducedby Abd El-latif et al. [2]. In this paper, we continue the study on fuzzy soft topological spaces andinvestigate the properties of fuzzy pre open soft sets, fuzzy pre closed soft sets and study variousproperties and notions related to these structures. In particular, we study the relationship betweenfuzzy pre soft interior fuzzy pre soft closure. Moreover, we study the properties of fuzzy soft pre regulars...

Fuzzy Constraint-Based Agent Negotiation

Institute of Scientific and Technical Information of China (English)

Menq-Wen Lin; K. Robert Lai; Ting-Jung Yu

2005-01-01

Conflicts between two or more parties arise for various reasons and perspectives. Thus, resolution of conflicts frequently relies on some form of negotiation. This paper presents a general problem-solving framework for modeling multi-issue multilateral negotiation using fuzzy constraints. Agent negotiation is formulated as a distributed fuzzy constraint satisfaction problem (DFCSP). Fuzzy constrains are thus used to naturally represent each agent's desires involving imprecision and human conceptualization, particularly when lexical imprecision and subjective matters are concerned. On the other hand, based on fuzzy constraint-based problem-solving, our approach enables an agent not only to systematically relax fuzzy constraints to generate a proposal, but also to employ fuzzy similarity to select the alternative that is subject to its acceptability by the opponents. This task of problem-solving is to reach an agreement that benefits all agents with a high satisfaction degree of fuzzy constraints, and move towards the deal more quickly since their search focuses only on the feasible solution space. An application to multilateral negotiation of a travel planning is provided to demonstrate the usefulness and effectiveness of our framework.

Fuzzy Commitment

Science.gov (United States)

Juels, Ari

The purpose of this chapter is to introduce fuzzy commitment, one of the earliest and simplest constructions geared toward cryptography over noisy data. The chapter also explores applications of fuzzy commitment to two problems in data security: (1) secure management of biometrics, with a focus on iriscodes, and (2) use of knowledge-based authentication (i.e., personal questions) for password recovery.

Multi-dimensional Fuzzy Euler Approximation

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Yangyang Hao

2017-05-01

Full Text Available Multi-dimensional Fuzzy differential equations driven by multi-dimen-sional Liu process, have been intensively applied in many fields. However, we can not obtain the analytic solution of every multi-dimensional fuzzy differential equation. Then, it is necessary for us to discuss the numerical results in most situations. This paper focuses on the numerical method of multi-dimensional fuzzy differential equations. The multi-dimensional fuzzy Taylor expansion is given, based on this expansion, a numerical method which is designed for giving the solution of multi-dimensional fuzzy differential equation via multi-dimensional Euler method will be presented, and its local convergence also will be discussed.

Fuzzy Control Teaching Models

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Klaus-Dietrich Kramer

2016-05-01

Full Text Available Many degree courses at technical universities include the subject of control systems engineering. As an addition to conventional approaches Fuzzy Control can be used to easily find control solutions for systems, even if they include nonlinearities. To support further educational training, models which represent a technical system to be controlled are required. These models have to represent the system in a transparent and easy cognizable manner. Furthermore, a programming tool is required that supports an easy Fuzzy Control development process, including the option to verify the results and tune the system behavior. In order to support the development process a graphical user interface is needed to display the fuzzy terms under real time conditions, especially with a debug system and trace functionality. The experiences with such a programming tool, the Fuzzy Control Design Tool (FHFCE Tool, and four fuzzy teaching models will be presented in this paper. The methodical and didactical objective in the utilization of these teaching models is to develop solution strategies using Computational Intelligence (CI applications for Fuzzy Controllers in order to analyze different algorithms of inference or defuzzyfication and to verify and tune those systems efficiently.

Fuzzy statistical decision-making theory and applications

CERN Document Server

Kabak, Özgür

2016-01-01

This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimu...

HERRAMIENTA DE LÓGICA DIFUSA PARA DEFINIR RASGOS DE LA PERSONALIDAD DE UN INDIVIDUO Fuzzy Logic Tool for Defining an Individual's Personality Traits

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Liliana González Palacio

2011-12-01

Full Text Available Los métodos usados actualmente para definir la personalidad de un individuo están compuestos por un conjunto de preguntas que son analizadas por un especialista, y de acuerdo con unos parámetros establecidos se genera el diagnóstico. Este procedimiento incorpora subjetividad, y potencia la aparición de errores. Buscando evitar el sesgo en los resultados que aparece por el criterio del especialista y automatizar tareas de procesamiento de información disminuyendo tiempos y cantidad de errores, en este artículo se propone un mecanismo para definir rasgos de la personalidad de un individuo usando lógica difusa.Methods used currently to define an individual's personality consist of a set of questions which are analyzed by a specialist and, according to several parameters, a diagnosis is made. This procedure incorporates subjectivity and error emergence possibility. In the search for avoiding biased results caused by the specialist's criterion and automating information processing tasks to reduce times and amount of errors, a mechanism for defining an individual's personality traits using fuzzy logic is proposed in this article.

Fuzzy Clustering Methods and their Application to Fuzzy Modeling

DEFF Research Database (Denmark)

Kroszynski, Uri; Zhou, Jianjun

1999-01-01

Fuzzy modeling techniques based upon the analysis of measured input/output data sets result in a set of rules that allow to predict system outputs from given inputs. Fuzzy clustering methods for system modeling and identification result in relatively small rule-bases, allowing fast, yet accurate....... An illustrative synthetic example is analyzed, and prediction accuracy measures are compared between the different variants...

A computationally efficient fuzzy control s

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Abdel Badie Sharkawy

2013-12-01

Full Text Available This paper develops a decentralized fuzzy control scheme for MIMO nonlinear second order systems with application to robot manipulators via a combination of genetic algorithms (GAs and fuzzy systems. The controller for each degree of freedom (DOF consists of a feedforward fuzzy torque computing system and a feedback fuzzy PD system. The feedforward fuzzy system is trained and optimized off-line using GAs, whereas not only the parameters but also the structure of the fuzzy system is optimized. The feedback fuzzy PD system, on the other hand, is used to keep the closed-loop stable. The rule base consists of only four rules per each DOF. Furthermore, the fuzzy feedback system is decentralized and simplified leading to a computationally efficient control scheme. The proposed control scheme has the following advantages: (1 it needs no exact dynamics of the system and the computation is time-saving because of the simple structure of the fuzzy systems and (2 the controller is robust against various parameters and payload uncertainties. The computational complexity of the proposed control scheme has been analyzed and compared with previous works. Computer simulations show that this controller is effective in achieving the control goals.

Shapley's value for fuzzy games

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Raúl Alvarado Sibaja

2009-02-01

Full Text Available This is the continuation of a previous article titled "Fuzzy Games", where I defined a new type of games based on the Multilinear extensions f, of characteristic functions and most of standard theorems for cooperative games also hold for this new type of games: The fuzzy games. Now we give some other properties and the extension of the definition of Shapley¨s Value for Fuzzy Games Keywords: game theory, fuzzy sets, multiattribute decisions.

FFLP problem with symmetric trapezoidal fuzzy numbers

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Reza Daneshrad

2015-04-01

Full Text Available The most popular approach for solving fully fuzzy linear programming (FFLP problems is to convert them into the corresponding deterministic linear programs. Khan et al. (2013 [Khan, I. U., Ahmad, T., & Maan, N. (2013. A simplified novel technique for solving fully fuzzy linear programming problems. Journal of Optimization Theory and Applications, 159(2, 536-546.] claimed that there had been no method in the literature to find the fuzzy optimal solution of a FFLP problem without converting it into crisp linear programming problem, and proposed a technique for the same. Others showed that the fuzzy arithmetic operation used by Khan et al. (2013 had some problems in subtraction and division operations, which could lead to misleading results. Recently, Ezzati et al. (2014 [Ezzati, R., Khorram, E., & Enayati, R. (2014. A particular simplex algorithm to solve fuzzy lexicographic multi-objective linear programming problems and their sensitivity analysis on the priority of the fuzzy objective functions. Journal of Intelligent and Fuzzy Systems, 26(5, 2333-2358.] defined a new operation on symmetric trapezoidal fuzzy numbers and proposed a new algorithm to find directly a lexicographic/preemptive fuzzy optimal solution of a fuzzy lexicographic multi-objective linear programming problem by using new fuzzy arithmetic operations, but their model was not fully fuzzy optimization. In this paper, a new method, by using Ezzati et al. (2014’s fuzzy arithmetic operation and a fuzzy version of simplex algorithm, is proposed for solving FFLP problem whose parameters are represented by symmetric trapezoidal fuzzy number without converting the given problem into crisp equivalent problem. By using the proposed method, the fuzzy optimal solution of FFLP problem can be easily obtained. A numerical example is provided to illustrate the proposed method.

Effectiveness of Securities with Fuzzy Probabilistic Return

Directory of Open Access Journals (Sweden)

Krzysztof Piasecki

2011-01-01

Full Text Available The generalized fuzzy present value of a security is defined here as fuzzy valued utility of cash flow. The generalized fuzzy present value cannot depend on the value of future cash flow. There exists such a generalized fuzzy present value which is not a fuzzy present value in the sense given by some authors. If the present value is a fuzzy number and the future value is a random one, then the return rate is given as a probabilistic fuzzy subset on a real line. This kind of return rate is called a fuzzy probabilistic return. The main goal of this paper is to derive the family of effective securities with fuzzy probabilistic return. Achieving this goal requires the study of the basic parameters characterizing fuzzy probabilistic return. Therefore, fuzzy expected value and variance are determined for this case of return. These results are a starting point for constructing a three-dimensional image. The set of effective securities is introduced as the Pareto optimal set determined by the maximization of the expected return rate and minimization of the variance. Finally, the set of effective securities is distinguished as a fuzzy set. These results are obtained without the assumption that the distribution of future values is Gaussian. (original abstract

Application of fuzzy logic to social choice theory

CERN Document Server

Mordeson, John N; Clark, Terry D

2015-01-01

Fuzzy social choice theory is useful for modeling the uncertainty and imprecision prevalent in social life yet it has been scarcely applied and studied in the social sciences. Filling this gap, Application of Fuzzy Logic to Social Choice Theory provides a comprehensive study of fuzzy social choice theory.The book explains the concept of a fuzzy maximal subset of a set of alternatives, fuzzy choice functions, the factorization of a fuzzy preference relation into the ""union"" (conorm) of a strict fuzzy relation and an indifference operator, fuzzy non-Arrowian results, fuzzy versions of Arrow's

Implementation of Steiner point of fuzzy set.

Science.gov (United States)

Liang, Jiuzhen; Wang, Dejiang

2014-01-01

This paper deals with the implementation of Steiner point of fuzzy set. Some definitions and properties of Steiner point are investigated and extended to fuzzy set. This paper focuses on establishing efficient methods to compute Steiner point of fuzzy set. Two strategies of computing Steiner point of fuzzy set are proposed. One is called linear combination of Steiner points computed by a series of crisp α-cut sets of the fuzzy set. The other is an approximate method, which is trying to find the optimal α-cut set approaching the fuzzy set. Stability analysis of Steiner point of fuzzy set is also studied. Some experiments on image processing are given, in which the two methods are applied for implementing Steiner point of fuzzy image, and both strategies show their own advantages in computing Steiner point of fuzzy set.

On Modeling the Behavior of Comparators for Complex Fuzzy Objects in a Fuzzy Object-Relational Database Management System

Directory of Open Access Journals (Sweden)

JuanM. Medina

2012-08-01

Full Text Available This paper proposes a parameterized definition for fuzzy comparators on complex fuzzy datatypes like fuzzy collections with conjunctive semantics and fuzzy objects. This definition and its implementation on a Fuzzy Object-Relational Database Management System (FORDBMS provides the designer with a powerful tool to adapt the behavior of these operators to the semantics of the considered application.

Metamathematics of fuzzy logic

CERN Document Server

Hájek, Petr

1998-01-01

This book presents a systematic treatment of deductive aspects and structures of fuzzy logic understood as many valued logic sui generis. Some important systems of real-valued propositional and predicate calculus are defined and investigated. The aim is to show that fuzzy logic as a logic of imprecise (vague) propositions does have well-developed formal foundations and that most things usually named `fuzzy inference' can be naturally understood as logical deduction.

FINANÇAS COMPORTAMENTAIS: ANÁLISE DO PERFIL COMPORTAMENTAL DO INVESTIDOR E DO PROPENSO INVESTIDOR [doi: 10.5329/RECADM.20080702001

Directory of Open Access Journals (Sweden)

Wesley Vieira Silva

2008-11-01

Full Text Available Normal 0 21 false false false PT-BR X-NONE X-NONE MicrosoftInternetExplorer4 RESUMO Finanças comportamentais, também conhecidas por Economia Comportamental, representam um novo campo na teoria financeira que busca incorporar os aspectos psicológicos dos indivíduos no processo de avaliação e precificação de ativos financeiros. Este novo campo do estudo de Finanças tem como objetivos a revisão e o aperfeiçoamento do modelo econômico-financeiro atual, pela incorporação de evidências sobre a irracionalidade do investidor. A fim de obter maiores informações sobre o perfil comportamental de investidores e propensos investidores, realizou-se uma pesquisa descritiva de natureza quantitativa baseada na aplicação de um questionário estruturado composto de 20 perguntas direcionadas a 164 discentes e 33 docentes do curso de Administração da Pontifícia Universidade Católica do Paraná. Os resultados auferidos por meio de técnicas estatísticas multivariada como a análise de cluster e análise de discriminante, tornaram-se possível identificar cinco grupos com características distintas de importância relevante para o estudo realizado. Verifica-se ainda que grande parcela dos respondentes afirmou não possuir conhecimentos acerca deste mercado, bem como muitos ainda se classificando como aprendizes.   Palavras-Chave Finanças comportamentais, Aversão à perda, Precificação, Análise de Cluster, Análise de discriminante.     ABSTRACT Behavioral finance is also known for behavioral economy and it represents a new line in the financial theory that is searches to incorporate the psychological aspects individuals in the evaluation process and pricing of financial assets. This new study line of finances has as objective the revision and the improvement of the current economic financial model for the incorporation of evidences on the irrationality of the investor. In order to get greater information on the behavioral profile of

Construction of fuzzy automata by fuzzy experiments

International Nuclear Information System (INIS)

Mironov, A.

1994-01-01

The solving the problem of canonical realization of partial reaction morphisms (PRM) for automata in toposes and fuzzy automata is addressed. This problem extends the optimal construction problem for finite deterministic automata by experiments. In the present paper the conception of canonical realization of PRM for automata in toposes is introduced and the sufficient conditions for the existence of canonical realizations for PRM in toposes are presented. As a consequence of this result the existence of canonical realizations for PRM in the category of fuzzy sets over arbitrary complete chain is proven

Construction of fuzzy automata by fuzzy experiments

Energy Technology Data Exchange (ETDEWEB)

Mironov, A [Moscow Univ. (Russian Federation). Dept. of Mathematics and Computer Science

1994-12-31

The solving the problem of canonical realization of partial reaction morphisms (PRM) for automata in toposes and fuzzy automata is addressed. This problem extends the optimal construction problem for finite deterministic automata by experiments. In the present paper the conception of canonical realization of PRM for automata in toposes is introduced and the sufficient conditions for the existence of canonical realizations for PRM in toposes are presented. As a consequence of this result the existence of canonical realizations for PRM in the category of fuzzy sets over arbitrary complete chain is proven.

DISEÑO DE UN SISTEMA DIFUSO PARA VALORACIÓN DE APORTES EN SISTEMAS COLABORATIVOS FUZZY SYSTEM DESIGN FOR ASSESSMENT OF CONTRIBUTIONS IN COLLABORATIVE SYSTEMS

Directory of Open Access Journals (Sweden)

Jaime Echeverri

2012-06-01

Full Text Available Actualmente los consumidores no son pasivos, están altamente conectados y vinculados con las empresas. Por ello, algunas empresas aprovechan estas características para innovar productos a partir de los aportes de clientes. La co-creación como modelo colaborativo para la innovación se caracteriza por estar dividida en etapas relacionadas entre sí, con el fin de capturar apropiadamente los aportes de los clientes. La capacidad de valorar y clasificar los aportes de los agentes que participan en este proceso colaborativo es una tarea de crucial importancia para las organizaciones. El presente artículo propone un sistema difuso que permite valorar los aportes de los agentes que participan en forma colaborativa en la co-creación de productos y servicios.Now the customers are not passive, they are highly networked and connected with companies. Some companies take advantage of these features to innovate products from customer contributions. Co-creation like collaborative model to the innovation is characterized from being divided into interrelated stages in order to capture client's contributions in an appropriate way. The ability to assess and rank the contributions of the actors involved in this collaborative process is a crucial organizations task. The present paper proposes a fuzzy system that allows valuation for agent's contributions that participate in a collaborative way in products and services co-creation.

Image matching navigation based on fuzzy information

Institute of Scientific and Technical Information of China (English)

田玉龙; 吴伟仁; 田金文; 柳健

2003-01-01

In conventional image matching methods, the image matching process is mostly based on image statistic information. One aspect neglected by all these methods is that there is much fuzzy information contained in these images. A new fuzzy matching algorithm based on fuzzy similarity for navigation is presented in this paper. Because the fuzzy theory is of the ability of making good description of the fuzzy information contained in images, the image matching method based on fuzzy similarity would look forward to producing good performance results. Experimental results using matching algorithm based on fuzzy information also demonstrate its reliability and practicability.

Uso da lógica fuzzy na caracterização do ambiente produtivo para matrizes gestantes The use of fuzzy logic for the productive environment characterization for pregnant sows

Directory of Open Access Journals (Sweden)

Héliton Pandorfi

2007-04-01

Full Text Available O objetivo desta pesquisa consistiu na avaliação do ambiente de alojamento, estimando as condições favoráveis ao melhor desempenho de matrizes gestantes. O experimento foi realizado no período compreendido entre 4-1 e 11-3-2005, em propriedade de produção industrial de suínos, localizada no município de Elias Fausto - SP. A pesquisa foi desenvolvida no setor de gestação, com 24 matrizes primíparas, 12 fêmeas alojadas em baias individuais (T1 e 12 em baias coletivas (T2. O trabalho foi dividido em duas etapas, em função da forma de avaliação dos dados: análise bioclimática e da qualidade do ar, e estimativa dos padrões de conforto térmico ambiental. As variáveis bioclimáticas T (ºC, UR (%, Tgn (ºC e fisiológicas, taxa respiratória (mov min-1 e temperatura retal (ºC apontam o sistema de confinamento em baias coletivas como o que possibilitou melhor condicionamento térmico natural às matrizes em gestação. O uso da teoria dos conjuntos fuzzy permitiu que se fizesse inferência entre os dados resultantes do trabalho experimental com os estabelecidos pela literatura, por intermédio de base de regras, para a determinação do conforto ambiental aplicado a matrizes na fase de gestação.The objective of this research was to estimate the environment of housing systems for pregnant sows, as well as variables that have effect on production system. The trial was conducted out from January 4th to March 11th 2005 in a specialized farm in industrial production of pork, located in Elias Fausto City, São Paulo State. In gestation facility 24 gilts were allocated: 12 in individual stalls (T1 and 12 in group housing (T2. Basically, this study was divided in two steps in function of the way chosen for data analysis: bioclimatic and air quality analysis; and prediction for environmental thermal comfort patterns. The environmental variables (T, ºC; UR, %; Tgn, ºC and physiological (respiratory rate, mov min-1; rectal temperature

Fuzzy Entropy： Axiomatic Definition and Neural Networks Model

Institute of Scientific and Technical Information of China (English)

QINGMing; CAOYue; HUANGTian-min

2004-01-01

The measure of uncertainty is adopted as a measure of information. The measures of fuzziness are known as fuzzy information measures. The measure of a quantity of fuzzy information gained from a fuzzy set or fuzzy system is known as fuzzy entropy. Fuzzy entropy has been focused and studied by many researchers in various fields. In this paper, firstly, the axiomatic definition of fuzzy entropy is discussed. Then, neural networks model of fuzzy entropy is proposed, based on the computing capability of neural networks. In the end, two examples are discussed to show the efficiency of the model.

On Intuitionistic Fuzzy Context-Free Languages

Directory of Open Access Journals (Sweden)

Jianhua Jin

2013-01-01

automata theory. Additionally, we introduce the concepts of Chomsky normal form grammar (IFCNF and Greibach normal form grammar (IFGNF based on intuitionistic fuzzy sets. The results of our study indicate that intuitionistic fuzzy context-free languages generated by IFCFGs are equivalent to those generated by IFGNFs and IFCNFs, respectively, and they are also equivalent to intuitionistic fuzzy recognizable step functions. Then some operations on the family of intuitionistic fuzzy context-free languages are discussed. Finally, pumping lemma for intuitionistic fuzzy context-free languages is investigated.

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...

Fuzzy promises

DEFF Research Database (Denmark)

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

2012-01-01

as narrative material to communicate self-identity. Finally, (c) we propose that brands deliver fuzzy experiential promises through effectively motivating consumers to adopt and play a social role implicitly suggested and facilitated by the brand. A promise is an inherently ethical concept and the article...... concludes with an in-depth discussion of fuzzy brand promises as two-way ethical commitments that put requirements on both brands and consumers....

On Intuitionistic Fuzzy Sets Theory

CERN Document Server

Atanassov, Krassimir T

2012-01-01

This book aims to be a  comprehensive and accurate survey of state-of-art research on intuitionistic fuzzy sets theory and could be considered a continuation and extension of the author´s previous book on Intuitionistic Fuzzy Sets, published by Springer in 1999 (Atanassov, Krassimir T., Intuitionistic Fuzzy Sets, Studies in Fuzziness and soft computing, ISBN 978-3-7908-1228-2, 1999). Since the aforementioned  book has appeared, the research activity of the author within the area of intuitionistic fuzzy sets has been expanding into many directions. The results of the author´s most recent work covering the past 12 years as well as the newest general ideas and open problems in this field have been therefore collected in this new book.

The first order fuzzy predicate logic (I)

International Nuclear Information System (INIS)

Sheng, Y.M.

1986-01-01

Some analysis tools of fuzzy measures, Sugeno's integrals, etc. are introduced into the semantic of the first order predicate logic to explain the concept of fuzzy quantifiers. The truth value of a fuzzy quantification proposition is represented by Sugeno's integral. With this framework, several important notions of formation rules, fuzzy valutions and fuzzy validity are discussed

Theta-Generalized closed sets in fuzzy topological spaces

International Nuclear Information System (INIS)

El-Shafei, M.E.; Zakari, A.

2006-01-01

In this paper we introduce the concepts of theta-generalized closed fuzzy sets and generalized fuzzy sets in topological spaces. Furthermore, generalized fuzzy sets are extended to theta-generalized fuzzy sets. Also, we introduce the concepts of fuzzy theta-generalized continuous and fuzzy theta-generalized irresolute mappings. (author)

A new fuzzy regression model based on interval-valued fuzzy neural network and its applications to management

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Somaye Yeylaghi

2017-06-01

Full Text Available In this paper, a novel hybrid method based on interval-valued fuzzy neural network for approximate of interval-valued fuzzy regression models, is presented. The work of this paper is an expansion of the research of real fuzzy regression models. In this paper interval-valued fuzzy neural network (IVFNN can be trained with crisp and interval-valued fuzzy data. Here a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy neural network is proposed. Finally, we illustrate our approach by some numerical examples and compare this method with existing methods.

Fuzzy GML Modeling Based on Vague Soft Sets

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Bo Wei

2017-01-01

Full Text Available The Open Geospatial Consortium (OGC Geography Markup Language (GML explicitly represents geographical spatial knowledge in text mode. All kinds of fuzzy problems will inevitably be encountered in spatial knowledge expression. Especially for those expressions in text mode, this fuzziness will be broader. Describing and representing fuzziness in GML seems necessary. Three kinds of fuzziness in GML can be found: element fuzziness, chain fuzziness, and attribute fuzziness. Both element fuzziness and chain fuzziness belong to the reflection of the fuzziness between GML elements and, then, the representation of chain fuzziness can be replaced by the representation of element fuzziness in GML. On the basis of vague soft set theory, two kinds of modeling, vague soft set GML Document Type Definition (DTD modeling and vague soft set GML schema modeling, are proposed for fuzzy modeling in GML DTD and GML schema, respectively. Five elements or pairs, associated with vague soft sets, are introduced. Then, the DTDs and the schemas of the five elements are correspondingly designed and presented according to their different chains and different fuzzy data types. While the introduction of the five elements or pairs is the basis of vague soft set GML modeling, the corresponding DTD and schema modifications are key for implementation of modeling. The establishment of vague soft set GML enables GML to represent fuzziness and solves the problem of lack of fuzzy information expression in GML.

On rarely generalized regular fuzzy continuous functions in fuzzy topological spaces

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Appachi Vadivel

2016-11-01

Full Text Available In this paper, we introduce the concept of rarely generalized regular fuzzy continuous functions in the sense of A.P. Sostak's and Ramadan is introduced. Some interesting properties and characterizations of them are investigated. Also, some applications to fuzzy compact spaces are established.

Logika Fuzzy untuk Audit Sistem Informasi

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Hari Setiabudi Husni

2013-06-01

Full Text Available The aim of this research is to study and introduce fuzzy logic into audit information system. Fuzzy logic is already adopted in other field of study. It helps decision process that incorporates subjective information and transforms it to scientific objective information which is more accepted. This research implements simulation scenario to see how fuzzy logic concept should be used in audit information process. The result shows that there is a possible concept of fuzzy logic that can be used for helping auditor in making objective decision in audit information system process. More researches needed to further explore the fuzzy logic concept such as creating the system of fuzzy logic and build application that can be used for daily information system audit process. 

Fuzzy model to predict porosity thought conventional well logs; Modelo Fuzzy para predicao de porosidade via perfis convencionais de poco

Energy Technology Data Exchange (ETDEWEB)

Mimbela, Renzo R.F.; Silva, Jadir C. [Universidade Estadual do Norte Fluminense (UENF), Macae, RJ (Brazil). Lab. de Engenharia e Exploracao do Petroleo (LENEP)

2004-07-01

The well logs have a great applicability in the search and evaluation of hydrocarbon. In this work we calculate porosities of the Namorado field with help of the 'Fuzzy Rule'. This is done segmenting jointly both the neutron ({phi}{sub N}) and density ({phi}{sub d}) porosities logs in groups with better relation of internal linearity. The grouping is processed keeping the best number of groups, which is efficiently chosen by a criterion related to the minimum value of 'Fuzzy Validity' measurement. As a first step, we choose the {phi}{sub N} and {phi}{sub d} values only at that depths where cores exist. To prevent picking measurements errors a previous data filtering is performed by selecting only the and their correspondent values that exhibit a maximum discrepancy with core porosity ({phi}{sub C}) around 5pu (porosity unit). A conventional average porosity {phi}{sub MED}, mixing {phi}{sub N} and {phi}{sub d} is calculated at each point, concerning its own lithological and fluids characteristics. Finally, an inversion algorithm is applied to indicate the best curve curve that fit linearly {phi}{sub C} vs. {phi}{sub MED}, {phi}{sub C} vs. {phi}{sub D} and {phi}{sub C} vs. {phi}{sub N}, and at the same time determines the values of the constants to be extrapolated in order to calculate the porosity of the whole field. (author)

Beyond fuzzy spheres

International Nuclear Information System (INIS)

Govindarajan, T R; Padmanabhan, Pramod; Shreecharan, T

2010-01-01

We study polynomial deformations of the fuzzy sphere, specifically given by the cubic or the Higgs algebra. We derive the Higgs algebra by quantizing the Poisson structure on a surface in R 3 . We find that several surfaces, differing by constants, are described by the Higgs algebra at the fuzzy level. Some of these surfaces have a singularity and we overcome this by quantizing this manifold using coherent states for this nonlinear algebra. This is seen in the measure constructed from these coherent states. We also find the star product for this non-commutative algebra as a first step in constructing field theories on such fuzzy spaces.

Fuzzy tree automata and syntactic pattern recognition.

Science.gov (United States)

Lee, E T

1982-04-01

An approach of representing patterns by trees and processing these trees by fuzzy tree automata is described. Fuzzy tree automata are defined and investigated. The results include that the class of fuzzy root-to-frontier recognizable ¿-trees is closed under intersection, union, and complementation. Thus, the class of fuzzy root-to-frontier recognizable ¿-trees forms a Boolean algebra. Fuzzy tree automata are applied to processing fuzzy tree representation of patterns based on syntactic pattern recognition. The grade of acceptance is defined and investigated. Quantitative measures of ``approximate isosceles triangle,'' ``approximate elongated isosceles triangle,'' ``approximate rectangle,'' and ``approximate cross'' are defined and used in the illustrative examples of this approach. By using these quantitative measures, a house, a house with high roof, and a church are also presented as illustrative examples. In addition, three fuzzy tree automata are constructed which have the capability of processing the fuzzy tree representations of ``fuzzy houses,'' ``houses with high roofs,'' and ``fuzzy churches,'' respectively. The results may have useful applications in pattern recognition, image processing, artificial intelligence, pattern database design and processing, image science, and pictorial information systems.

Hiperventilação. A terapia cognitivo-comportamental e a técnica dos exercícios de indução dos sintomas no transtorno de pânico

Directory of Open Access Journals (Sweden)

Anna Lucia Spear King

2008-03-01

Full Text Available Resumo: O transtorno de pânico (TP caracteriza-se por ataques agudos de ansiedade frequentes e recorrentes. A actual concepção para o TP realça o medo das sensações corporais a partir do momento em que o indivíduo associa de forma equivocada as sensações físicas que se apresentam como sendo prenúncio de uma doença grave e/ou morte iminente, não conseguindo interpretá-las como mecanismos fisiológicos naturais. Relatamos três casos graves de TP do subtipo respiratório, com agorafobia, cujos sintomas de hiperventilação predominavam sobre os demais. O tratamento consistiu na prescrição de antidepressivos tricíclicos e no encaminhamento para sessões de terapia cognitivo-comportamental (TCC. O objectivo do relato dos casos é demonstrar a evolução satisfatória do tratamento com a técnica dos exercícios de indução de sintomas (EIS em ambiente de laboratório para a redução e/ou extinção dos sintomas hiperventilatórios, entre outros. Esse procedimento foi considerado fundamental na evolução do tratamento e permitiu preparar os doentes para enfrentarem situações agorafóbicas subsequentes.Rev Port Pneumol 2007; XIV (2: 303-308 Abstract: Panic disorder (PD is characterized by frequent and recurrent acute panic attacks. The current cognitive conception for PD enhances the fear of corporal sensations, when the individual define his physical sensations as being related to a serious disease or imminent death, not interpreting them as natural physiologic mechanisms. We reported three severe cases of PD of the respiratory subtype, with agoraphobia, whose symptoms of hyperventilation predominated on clinical picture. The treatment consisted on tricycles antidepressant and cognitive-behavior therapy (CBT sessions. The objective of reporting the cases is to demonstrate the satisfactory evolution of the treatment with the technique of panic

ADAPTIVE WEB SITE DENGAN METODE FUZZY CLUSTERING

Directory of Open Access Journals (Sweden)

Muchammad Husni

2004-01-01

Full Text Available Normal 0 false false false IN X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Ledakan pertumbuhan dan perkembangan informasi dalam dunia maya menjadikan personalisasian informasi menjadi isu yang penting. Personalisasi informasi yang akan diberikan oleh situs web akan sangat mempengaruhi pola dan perilaku pengguna dalam pencarian informasi, terutama pada perdagangan elektronis (e-commerce. Salah satu pendekatan yang memungkinkan dalam personalisasian web adalah mencari profil pengguna (user profile dari data historis yang sangat besar di file web log. Pengklasifikasian data tanpa pengawasan (unsupervised clasification atau metode metode clustering cukup baik untuk menganalisa data log akses pengguna yang semi terstruktur. Pada metode ini, didefinisikan "user session" dan juga ukuran perbedaan (dissimilarity diantara dua web session yang menggambarkan pengorganisasian sebuah web site. Untuk mendapatkan sebuah profil akses pengguna, dilakukan pembagian user session berdasarkan pasangan ketidaksamaan menggunakan algoritma Fuzzy Clustering. Kata kunci : Adaptive Website, Fuzzy Clustering, personalisasi informasi.

Fuzzy logic controller using different inference methods

International Nuclear Information System (INIS)

Liu, Z.; De Keyser, R.

1994-01-01

In this paper the design of fuzzy controllers by using different inference methods is introduced. Configuration of the fuzzy controllers includes a general rule-base which is a collection of fuzzy PI or PD rules, the triangular fuzzy data model and a centre of gravity defuzzification algorithm. The generalized modus ponens (GMP) is used with the minimum operator of the triangular norm. Under the sup-min inference rule, six fuzzy implication operators are employed to calculate the fuzzy look-up tables for each rule base. The performance is tested in simulated systems with MATLAB/SIMULINK. Results show the effects of using the fuzzy controllers with different inference methods and applied to different test processes

Fuzzy control of small servo motors

Science.gov (United States)

Maor, Ron; Jani, Yashvant

1993-01-01

To explore the benefits of fuzzy logic and understand the differences between the classical control methods and fuzzy control methods, the Togai InfraLogic applications engineering staff developed and implemented a motor control system for small servo motors. The motor assembly for testing the fuzzy and conventional controllers consist of servo motor RA13M and an encoder with a range of 4096 counts. An interface card was designed and fabricated to interface the motor assembly and encoder to an IBM PC. The fuzzy logic based motor controller was developed using the TILShell and Fuzzy C Development System on an IBM PC. A Proportional-Derivative (PD) type conventional controller was also developed and implemented in the IBM PC to compare the performance with the fuzzy controller. Test cases were defined to include step inputs of 90 and 180 degrees rotation, sine and square wave profiles in 5 to 20 hertz frequency range, as well as ramp inputs. In this paper we describe our approach to develop a fuzzy as well as PH controller, provide details of hardware set-up and test cases, and discuss the performance results. In comparison, the fuzzy logic based controller handles the non-linearities of the motor assembly very well and provides excellent control over a broad range of parameters. Fuzzy technology, as indicated by our results, possesses inherent adaptive features.

Enric Trillas a passion for fuzzy sets : a collection of recent works on fuzzy logic

CERN Document Server

Verdegay, Jose; Esteva, Francesc

2015-01-01

This book presents a comprehensive collection of the latest and most significant research advances and applications in the field of fuzzy logic. It covers fuzzy structures, rules, operations and mathematical formalisms, as well as important applications of fuzzy logic in a number of fields, like decision-making, environmental prediction and prevention, communication, controls and many others. Dedicated to Enric Trillas in recognition of his pioneering research in the field, the book also includes a foreword by Lotfi A. Zadeh and an outlook on the future of fuzzy logic.

Fuzzy Logic in Medicine and Bioinformatics

Directory of Open Access Journals (Sweden)

Angela Torres

2006-01-01

Full Text Available The purpose of this paper is to present a general view of the current applications of fuzzy logic in medicine and bioinformatics. We particularly review the medical literature using fuzzy logic. We then recall the geometrical interpretation of fuzzy sets as points in a fuzzy hypercube and present two concrete illustrations in medicine (drug addictions and in bioinformatics (comparison of genomes.

Model predictive control using fuzzy decision functions

NARCIS (Netherlands)

Kaymak, U.; Costa Sousa, da J.M.

2001-01-01

Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the

Algebraic Aspects of Families of Fuzzy Languages

NARCIS (Netherlands)

Asveld, P.R.J.; Heylen, Dirk K.J.; Nijholt, Antinus; Scollo, Giuseppe

2000-01-01

We study operations on fuzzy languages such as union, concatenation,Kleene $\\star$, intersection with regular fuzzy languages, and several kinds of (iterated) fuzzy substitution. Then we consider families of fuzzy languages, closed under a fixed collection of these operations, which results in the

Approximate Solution of LR Fuzzy Sylvester Matrix Equations

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Xiaobin Guo

2013-01-01

Full Text Available The fuzzy Sylvester matrix equation AX~+X~B=C~ in which A,B are m×m and n×n crisp matrices, respectively, and C~ is an m×n LR fuzzy numbers matrix is investigated. Based on the Kronecker product of matrices, we convert the fuzzy Sylvester matrix equation into an LR fuzzy linear system. Then we extend the fuzzy linear system into two systems of linear equations according to the arithmetic operations of LR fuzzy numbers. The fuzzy approximate solution of the original fuzzy matrix equation is obtained by solving the crisp linear systems. The existence condition of the LR fuzzy solution is also discussed. Some examples are given to illustrate the proposed method.

Fuzzy histogram for internal and external fuzzy directional relations

OpenAIRE

Salamat , Nadeem; Zahzah , El-Hadi

2009-01-01

5 Pages; Spatial relations have key point importance in image analysis and computer vision. Numerous technics have been developed to study these relations especially directional relations. Modern digital computers give rise to quantitative methods and among them fuzzy methods have core importance due to handling imprecise knowledge information and vagueness. In most fuzzy methods external directional relations are considered which are useful for small scale space image analysis but in large s...

Fuzzy relational calculus theory, applications and software

CERN Document Server

Peeva, Ketty

2004-01-01

This book examines fuzzy relational calculus theory with applications in various engineering subjects. The scope of the text covers unified and exact methods with algorithms for direct and inverse problem resolution in fuzzy relational calculus. Extensive engineering applications of fuzzy relation compositions and fuzzy linear systems (linear, relational and intuitionistic) are discussed. Some examples of such applications include solutions of equivalence, reduction and minimization problems in fuzzy machines, pattern recognition in fuzzy languages, optimization and inference engines in textile and chemical engineering, etc. A comprehensive overview of the authors' original work in fuzzy relational calculus is also provided in each chapter. The attached CD-Rom contains a toolbox with many functions for fuzzy calculations, together with an original algorithm for inverse problem resolution in MATLAB. This book is also suitable for use as a textbook in related courses at advanced undergraduate and graduate level...

On the mathematics of fuzziness

Energy Technology Data Exchange (ETDEWEB)

Chulichkov, A.I.; Chulichkova, N.M.; Pyt`ev, Y. P.; Smolnik, L.

1994-12-31

The problem of the minimax linear interpretation of stochastic measurements with fuzzy conditions on values of the object`s parameters is considered. The result of a measurement interpretation is the fuzzy element (u, h, alpha, mu(.,.,.)), where u is the object`s parameter estimation, h is the estimation accuracy and alpha is the reliability of interpretation, mu is the characteristic function of a fuzzy element. Reliability is the characteristic of the agreement between fuzzy a priori information and measuring data. The information on the values of the parameters of an object under investigation is interactively submitted to the computer.

Fuzzy upper bounds and their applications

Energy Technology Data Exchange (ETDEWEB)

Soleimani-damaneh, M. [Department of Mathematics, Faculty of Mathematical Science and Computer Engineering, Teacher Training University, 599 Taleghani Avenue, Tehran 15618 (Iran, Islamic Republic of)], E-mail: soleimani_d@yahoo.com

2008-04-15

This paper considers the concept of fuzzy upper bounds and provides some relevant applications. Considering a fuzzy DEA model, the existence of a fuzzy upper bound for the objective function of the model is shown and an effective approach to solve that model is introduced. Some dual interpretations are provided, which are useful for practical purposes. Applications of the concept of fuzzy upper bounds in two physical problems are pointed out.

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...

Application of Bipolar Fuzzy Sets in Graph Structures

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Muhammad Akram

2016-01-01

Full Text Available A graph structure is a useful tool in solving the combinatorial problems in different areas of computer science and computational intelligence systems. In this paper, we apply the concept of bipolar fuzzy sets to graph structures. We introduce certain notions, including bipolar fuzzy graph structure (BFGS, strong bipolar fuzzy graph structure, bipolar fuzzy Ni-cycle, bipolar fuzzy Ni-tree, bipolar fuzzy Ni-cut vertex, and bipolar fuzzy Ni-bridge, and illustrate these notions by several examples. We study ϕ-complement, self-complement, strong self-complement, and totally strong self-complement in bipolar fuzzy graph structures, and we investigate some of their interesting properties.

Influence of fuzzy norms and other heuristics on “Mixed fuzzy rule formation”

OpenAIRE

Gabriel, Thomas R.; Berthold, Michael R.

2004-01-01

In Mixed Fuzzy Rule Formation [Int. J. Approx. Reason. 32 (2003) 67] a method to extract mixed fuzzy rules from data was introduced. The underlying algorithm s performance is influenced by the choice of fuzzy t-norm and t-conorm, and a heuristic to avoid conflicts between patterns and rules of different classes throughout training. In the following addendum to [Int. J. Approx. Reason. 32 (2003) 67], we discuss in more depth how these parameters affect the generalization performance of the res...

Towards the future of fuzzy logic

CERN Document Server

Trillas, Enric; Kacprzyk, Janusz

2015-01-01

This book provides readers with a snapshot of the state-of-the art in fuzzy logic. Throughout the chapters, key theories developed in the last fifty years as well as important applications to practical problems are presented and discussed from different perspectives, as the authors hail from different disciplines and therefore use fuzzy logic for different purposes.  The book aims at showing how fuzzy logic has evolved since the first theory formulation by Lotfi A. Zadeh in his seminal paper on Fuzzy Sets in 1965. Fuzzy theories and implementation grew at an impressive speed and achieved significant results, especially on the applicative side. The study of fuzzy logic and its practice spread all over the world, from Europe to Asia, America and Oceania. The editors believe that, thanks to the drive of young researchers, fuzzy logic will be able to face the challenging goals posed by computing with words. New frontiers of knowledge are waiting to be explored. In order to motivate young people to engage in the ...

Sputtering properties of tungsten 'fuzzy' surfaces

International Nuclear Information System (INIS)

Nishijima, D.; Baldwin, M.J.; Doerner, R.P.; Yu, J.H.

2011-01-01

Sputtering yields of He-induced W 'fuzzy' surfaces bombarded by Ar have been measured in the linear divertor plasma simulator PISCES-B. It is found that the sputtering yield of a fuzzy surface, Y fuzzy , decreases with increasing fuzzy layer thickness, L, and saturates at ∼10% of that of a smooth surface, Y smooth , at L > 1 μm. The reduction in the sputtering yield is suspected to be due mainly to the porous structure of fuzz, since the ratio, Y fuzzy /Y smooth follows (1 - p fuzz ), where p fuzz is the fuzz porosity. Further, Y fuzzy /Y smooth is observed to increase with incident ion energy, E i . This may be explained by an energy dependent change in the angular distribution of sputtered W atoms, since at lower E i , the angular distribution is observed to become more butterfly-shaped. That is, a larger fraction of sputtered W atoms can line-of-sight deposit/stick onto neighboring fuzz nanostructures for lower E i butterfly distributions, resulting in lower ratio of Y fuzzy /Y smooth .

Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" - [Corrigendum

OpenAIRE

Gabriel, Thomas R.; Berthold, Michael R.

2008-01-01

We hereby correct an error in Ref. [2], in which we studied the influence of various parameters that affect the generalization performance of fuzzy models constructed using the mixed fuzzy rule formation method [1].

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...

ESTUDO DO RISCO DE DEGRADAÇÃO AMBIENTAL EM RIOS MEDIANTE A APLICAÇÃO DE UM MODELO MATEMÁTICO fuzzy DE DBO/OD, CONSIDERANDO DIFERENTES FONTES DE LANÇAMENTO DE EFLUENTES

Directory of Open Access Journals (Sweden)

Ada Amelia Lopes

2016-06-01

Full Text Available Com base no fenômeno de transferência de massa, a lógica fuzzy desenvolvida no presente estudo estabeleceu relações entre a Demanda Bioquímica de Oxigênio (DBO e o Oxigênio Dissolvido (OD, para diferentes lançamentos. A aplicação da lógica fuzzy neste cenário, permitiu que as incertezas das variáveis envolvidas no processo, especificamente na solução da equação de advecção, fossem avaliadas e o risco de contaminação de um sistema hídrico diante dos lançamentos de poluentes pudesse ser investigado. No desenvolvimento da lógica fuzzy,  os parâmetros de DBO/OD foram convertidos em um conjunto de equações diferenciais e representados como funçõe de pertinência. Para execução das simulações da qualidade da água, os autores utilizaram um programa computacional codificado em linguagem FORTRAN. De acordo com os resultados, concluiu-se que a combinação da Teoria do Transporte de Massa e a da Lógica fuzzy pode ser uma importante ferramenta para a avaliação da Análise de Risco em sistemas hídricos, contribuindo sobremaneira para o monitoramento de temáticas prioritárias da Engenharia Ambiental.

Neuro-fuzzy Control of Integrating Processes

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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.

Frechet differentiation of nonlinear operators between fuzzy normed spaces

International Nuclear Information System (INIS)

Yilmaz, Yilmaz

2009-01-01

By the rapid advances in linear theory of fuzzy normed spaces and fuzzy bounded linear operators it is natural idea to set and improve its nonlinear peer. We aimed in this work to realize this idea by introducing fuzzy Frechet derivative based on the fuzzy norm definition in Bag and Samanta [Bag T, Samanta SK. Finite dimensional fuzzy normed linear spaces. J Fuzzy Math 2003;11(3):687-705]. The definition is divided into two part as strong and weak fuzzy Frechet derivative so that it is compatible with strong and weak fuzzy continuity of operators. Also we restate fuzzy compact operator definition of Lael and Nouroizi [Lael F, Nouroizi K. Fuzzy compact linear operators. Chaos, Solitons and Fractals 2007;34(5):1584-89] as strongly and weakly fuzzy compact by taking into account the compatibility. We prove also that weak Frechet derivative of a nonlinear weakly fuzzy compact operator is also weakly fuzzy compact.

Solution of Fuzzy Differential Equations Using Fuzzy Sumudu Transforms

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Raheleh Jafari

2018-01-01

Full Text Available The uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs and the solutions of these equations are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this paper, the solutions of FDEs are approximated by utilizing the fuzzy Sumudu transform (FST method. Significant theorems are suggested in order to explain the properties of FST. The proposed method is validated with three real examples.

New Applications of m-Polar Fuzzy Matroids

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Musavarah Sarwar

2017-12-01

Full Text Available Mathematical modelling is an important aspect in apprehending discrete and continuous physical systems. Multipolar uncertainty in data and information incorporates a significant role in various abstract and applied mathematical modelling and decision analysis. Graphical and algebraic models can be studied more precisely when multiple linguistic properties are dealt with, emphasizing the need for a multi-index, multi-object, multi-agent, multi-attribute and multi-polar mathematical approach. An m-polar fuzzy set is introduced to overcome the limitations entailed in single-valued and two-valued uncertainty. Our aim in this research study is to apply the powerful methodology of m-polar fuzzy sets to generalize the theory of matroids. We introduce the notion of m-polar fuzzy matroids and investigate certain properties of various types of m-polar fuzzy matroids. Moreover, we apply the notion of the m-polar fuzzy matroid to graph theory and linear algebra. We present m-polar fuzzy circuits, closures of m-polar fuzzy matroids and put special emphasis on m-polar fuzzy rank functions. Finally, we also describe certain applications of m-polar fuzzy matroids in decision support systems, ordering of machines and network analysis.

Design of interpretable fuzzy systems

CERN Document Server

Cpałka, Krzysztof

2017-01-01

This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.

Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study

OpenAIRE

Yashon O. Ouma; J. Opudo; S. Nyambenya

2015-01-01

For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS) is evaluated. The pavement distress data was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the pa...

Approximations of Fuzzy Systems

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Vinai K. Singh

2013-03-01

Full Text Available A fuzzy system can uniformly approximate any real continuous function on a compact domain to any degree of accuracy. Such results can be viewed as an existence of optimal fuzzy systems. Li-Xin Wang discussed a similar problem using Gaussian membership function and Stone-Weierstrass Theorem. He established that fuzzy systems, with product inference, centroid defuzzification and Gaussian functions are capable of approximating any real continuous function on a compact set to arbitrary accuracy. In this paper we study a similar approximation problem by using exponential membership functions

Fuzzy-based HAZOP study for process industry

Energy Technology Data Exchange (ETDEWEB)

Ahn, Junkeon; Chang, Daejun, E-mail: djchang@kaist.edu

2016-11-05

Highlights: • HAZOP is the important technique to evaluate system safety and its risks while process operations. • Fuzzy theory can handle the inherent uncertainties of process systems for the HAZOP. • Fuzzy-based HAZOP considers the aleatory and epistemic uncertainties and provides the risk level with less uncertainty. • Risk acceptance criteria should be considered regarding the transition region for each risk. - Abstract: This study proposed a fuzzy-based HAZOP for analyzing process hazards. Fuzzy theory was used to express uncertain states. This theory was found to be a useful approach to overcome the inherent uncertainty in HAZOP analyses. Fuzzy logic sharply contrasted with classical logic and provided diverse risk values according to its membership degree. Appropriate process parameters and guidewords were selected to describe the frequency and consequence of an accident. Fuzzy modeling calculated risks based on the relationship between the variables of an accident. The modeling was based on the mean expected value, trapezoidal fuzzy number, IF-THEN rules, and the center of gravity method. A cryogenic LNG (liquefied natural gas) testing facility was the objective process for the fuzzy-based and conventional HAZOPs. The most significant index is the frequency to determine risks. The comparison results showed that the fuzzy-based HAZOP provides better sophisticated risks than the conventional HAZOP. The fuzzy risk matrix presents the significance of risks, negligible risks, and necessity of risk reduction.

Supply chain management under fuzziness recent developments and techniques

CERN Document Server

Öztayşi, Başar

2014-01-01

Supply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear programming, and fuzzy inference systems. The book covers both practical applications and new developments concerning these methods. This book offers an excellent resource for researchers and practitioners in supply chain management and logistics, and will provide them with new suggestions and directions for future research. Moreover, it will support graduate students in their university courses, such as specialized courses on supply chains and logistics, as well as related courses in the fields of industrial engineering, engineering management and business administration.

Optical Generation of Fuzzy-Based Rules

Science.gov (United States)

Gur, Eran; Mendlovic, David; Zalevsky, Zeev

2002-08-01

In the last third of the 20th century, fuzzy logic has risen from a mathematical concept to an applicable approach in soft computing. Today, fuzzy logic is used in control systems for various applications, such as washing machines, train-brake systems, automobile automatic gear, and so forth. The approach of optical implementation of fuzzy inferencing was given by the authors in previous papers, giving an extra emphasis to applications with two dominant inputs. In this paper the authors introduce a real-time optical rule generator for the dual-input fuzzy-inference engine. The paper briefly goes over the dual-input optical implementation of fuzzy-logic inferencing. Then, the concept of constructing a set of rules from given data is discussed. Next, the authors show ways to implement this procedure optically. The discussion is accompanied by an example that illustrates the transformation from raw data into fuzzy set rules.

Intuitionistic fuzzy aggregation and clustering

CERN Document Server

Xu, Zeshui

2012-01-01

This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy values, the latest research results in intuitionistic fuzzy aggregation techniques, the extended results in interval-valued intuitionistic fuzzy environments, and their applications in multi-attribute decision making, such as supply chain management, military system performance evaluation, project management, venture capital, information system selection, building materials classification, and operational plan assessment, etc.

Designing PID-Fuzzy Controller for Pendubot System

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Ho Trong Nguyen

2017-12-01

Full Text Available In the paper, authors analize dynamic equation of a pendubot system. Familiar kinds of controller – PID, fuzzy controllers – are concerned. Then, a structure of PID-FUZZY is presented. The comparison of three kinds of controllers – PID, fuzzy and PID-FUZZY shows the better response of system under PID-FUZZY controller. Then, the experiments on the real model also prove the better stabilization of the hybrid controller which is combined between linear and intelligent controller.

Ellipsoidal fuzzy learning for smart car platoons

Science.gov (United States)

Dickerson, Julie A.; Kosko, Bart

1993-12-01

A neural-fuzzy system combined supervised and unsupervised learning to find and tune the fuzzy-rules. An additive fuzzy system approximates a function by covering its graph with fuzzy rules. A fuzzy rule patch can take the form of an ellipsoid in the input-output space. Unsupervised competitive learning found the statistics of data clusters. The covariance matrix of each synaptic quantization vector defined on ellipsoid centered at the centroid of the data cluster. Tightly clustered data gave smaller ellipsoids or more certain rules. Sparse data gave larger ellipsoids or less certain rules. Supervised learning tuned the ellipsoids to improve the approximation. The supervised neural system used gradient descent to find the ellipsoidal fuzzy patches. It locally minimized the mean-squared error of the fuzzy approximation. Hybrid ellipsoidal learning estimated the control surface for a smart car controller.

Research on Bounded Rationality of Fuzzy Choice Functions

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Xinlin Wu

2014-01-01

Full Text Available The rationality of a fuzzy choice function is a hot research topic in the study of fuzzy choice functions. In this paper, two common fuzzy sets are studied and analyzed in the framework of the Banerjee choice function. The complete rationality and bounded rationality of fuzzy choice functions are defined based on the two fuzzy sets. An assumption is presented to study the fuzzy choice function, and especially the fuzzy choice function with bounded rationality is studied combined with some rationality conditions. Results show that the fuzzy choice function with bounded rationality also satisfies some important rationality conditions, but not vice versa. The research gives supplements to the investigation in the framework of the Banerjee choice function.

WHY FUZZY QUALITY?

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Abbas Parchami

2016-09-01

Full Text Available Such as other statistical problems, we may confront with uncertain and fuzzy concepts in quality control. One particular case in process capability analysis is a situation in which specification limits are two fuzzy sets. In such a uncertain and vague environment, the produced product is not qualified with a two-valued Boolean view, but to some degree depending on the decision-maker strictness and the quality level of the produced product. This matter can be cause to a rational decision-making on the quality of the production line. First, a comprehensive approach is presented in this paper for modeling the fuzzy quality concept. Then, motivations and advantages of applying this flexible approach instead of using classical quality are mentioned.

Fuzzy systems for process identification and control

International Nuclear Information System (INIS)

Gorrini, V.; Bersini, H.

1994-01-01

Various issues related to the automatic construction and on-line adaptation of fuzzy controllers are addressed. A Direct Adaptive Fuzzy Control (this is an adaptive control methodology requiring a minimal knowledge of the processes to be coupled with) derived in a way reminiscent of neurocontrol methods, is presented. A classical fuzzy controller and a fuzzy realization of a PID controller is discussed. These systems implement a highly non-linear control law, and provide to be quite robust, even in the case of noisy inputs. In order to identify dynamic processes of order superior to one, we introduce a more complex architecture, called Recurrent Fuzzy System, that use some fuzzy internal variables to perform an inferential chaining.I

A new fuzzy Monte Carlo method for solving SLAE with ergodic fuzzy Markov chains

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Maryam Gharehdaghi

2015-05-01

Full Text Available In this paper we introduce a new fuzzy Monte Carlo method for solving system of linear algebraic equations (SLAE over the possibility theory and max-min algebra. To solve the SLAE, we first define a fuzzy estimator and prove that this is an unbiased estimator of the solution. To prove unbiasedness, we apply the ergodic fuzzy Markov chains. This new approach works even for cases with coefficients matrix with a norm greater than one.

Fuzzy control in environmental engineering

CERN Document Server

Chmielowski, Wojciech Z

2016-01-01

This book is intended for engineers, technicians and people who plan to use fuzzy control in more or less developed and advanced control systems for manufacturing processes, or directly for executive equipment. Assuming that the reader possesses elementary knowledge regarding fuzzy sets and fuzzy control, by way of a reminder, the first parts of the book contain a reminder of the theoretical foundations as well as a description of the tools to be found in the Matlab/Simulink environment in the form of a toolbox. The major part of the book presents applications for fuzzy controllers in control systems for various manufacturing and engineering processes. It presents seven processes and problems which have been programmed using fuzzy controllers. The issues discussed concern the field of Environmental Engineering. Examples are the control of a flood wave passing through a hypothetical, and then the real Dobczyce reservoir in the Raba River, which is located in the upper Vistula River basin in Southern Poland, th...

The fuzzy approach to statistical analysis

NARCIS (Netherlands)

Coppi, Renato; Gil, Maria A.; Kiers, Henk A. L.

2006-01-01

For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes. These namely are: (i) to introduce new data analysis problems in which the objective involves either fuzzy relationships or fuzzy terms;

Minimal solution for inconsistent singular fuzzy matrix equations

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M. Nikuie

2013-10-01

Full Text Available The fuzzy matrix equations $Ailde{X}=ilde{Y}$ is called a singular fuzzy matrix equations while the coefficients matrix of its equivalent crisp matrix equations be a singular matrix. The singular fuzzy matrix equations are divided into two parts: consistent singular matrix equations and inconsistent fuzzy matrix equations. In this paper, the inconsistent singular fuzzy matrix equations is studied and the effect of generalized inverses in finding minimal solution of an inconsistent singular fuzzy matrix equations are investigated.

Cognitive-behavioural therapy of eating disorders

OpenAIRE

Duchesne, Mônica; Almeida, Paola Espósito de Moraes

2002-01-01

A terapia cognitivo-comportamental é uma intervenção breve, semi-estruturada e orientada para metas, que tem sido amplamente utilizada nos centros de pesquisa e tratamento de transtornos alimentares. O presente artigo tem por objetivo descrever as principais estratégias cognitivas e comportamentais utilizadas no tratamento ambulatorial dos transtornos alimentares. Vários ensaios clínicos avaliaram a eficácia da terapia cognitivo-comportamental, indicando que ela favorece a remissão ou diminui...

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...

Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization techniques.

Science.gov (United States)

Chen, Shyi-Ming; Manalu, Gandhi Maruli Tua; Pan, Jeng-Shyang; Liu, Hsiang-Chuan

2013-06-01

In this paper, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization (PSO) techniques. First, we fuzzify the historical training data of the main factor and the secondary factor, respectively, to form two-factors second-order fuzzy logical relationships. Then, we group the two-factors second-order fuzzy logical relationships into two-factors second-order fuzzy-trend logical relationship groups. Then, we obtain the optimal weighting vector for each fuzzy-trend logical relationship group by using PSO techniques to perform the forecasting. We also apply the proposed method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index and the NTD/USD exchange rates. The experimental results show that the proposed method gets better forecasting performance than the existing methods.

Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method

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Rasim M. Alguliyev

2015-01-01

Full Text Available Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.

Fuzzy commutative algebra and its application in mechanical engineering

International Nuclear Information System (INIS)

Han, J.; Song, H.

1996-01-01

Based on literature data, this paper discusses the whole mathematical structure about point-fuzzy number set F(R). By introducing some new operations about addition, subtraction, multiplication, division and scalar multiplication, we prove that F(R) can form fuzzy linear space, fuzzy commutative ring, fuzzy commutative algebra in order. Furthermore, we get that A is fuzzy commutative algebra for any fuzzy subset. At last, we give an application of point-fuzzy number to mechanical engineering

A SELF-ORGANISING FUZZY LOGIC CONTROLLER

African Journals Online (AJOL)

ES Obe

One major drawback of fuzzy logic controllers is the difficulty encountered in the construction of a rule- base ... The greatest limitation of fuzzy logic control is the lack ..... c(kT)= e(kT)-e((k-1)T). (16) .... with the aid of fuzzy models”, It in Industrial.

Obesidade infantil: uma proposta de tratamento comportamental

OpenAIRE

Cruz, Maria Tereza Monteiro da

2012-01-01

O objetivo da presente pesquisa foi avaliar um programa de economia de fichas para modificar o comportamento de crianças obesas. Participaram do estudo dois jovens do sexo masculino com idades de 10 e 11 anos uma adolescente com 15 anos, todos apresentavam peso excessivo para a idade e freqüentavam uma ONG voltada para o tratamento da obesidade infantil e suas mães. A pesquisadora emprestou uma filmadora para os participantes e solicitou que P1 filmasse o almoço e o jantar cinc...

A new method for ordering triangular fuzzy numbers

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S.H. Nasseri

2010-09-01

Full Text Available Ranking fuzzy numbers plays a very important role in linguistic decision making and other fuzzy application systems. In spite of many ranking methods, no one can rank fuzzy numbers with human intuition consistently in all cases. Shortcoming are found in some of the convenient methods for ranking triangular fuzzy numbers such as the coefficient of variation (CV index, distance between fuzzy sets, centroid point and original point, and also weighted mean value. In this paper, we introduce a new method for ranking triangular fuzzy number to overcome the shortcomings of the previous techniques. Finally, we compare our method with some convenient methods for ranking fuzzy numbers to illustrate the advantage our method.

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...

On a Fuzzy Algebra for Querying Graph Databases

OpenAIRE

Pivert , Olivier; Thion , Virginie; Jaudoin , Hélène; Smits , Grégory

2014-01-01

International audience; This paper proposes a notion of fuzzy graph database and describes a fuzzy query algebra that makes it possible to handle such database, which may be fuzzy or not, in a flexible way. The algebra, based on fuzzy set theory and the concept of a fuzzy graph, is composed of a set of operators that can be used to express preference queries on fuzzy graph databases. The preferences concern i) the content of the vertices of the graph and ii) the structure of the graph. In a s...

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

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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.

Fuzzy neural network theory and application

CERN Document Server

Liu, Puyin

2004-01-01

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to he

Fuzzy preference based interactive fuzzy physical programming and its application in multi-objective optimization

International Nuclear Information System (INIS)

Zhang, Xu; Huang, Hong Zhong; Yu, Lanfeng

2006-01-01

Interactive Fuzzy Physical Programming (IFPP) developed in this paper is a new efficient multi-objective optimization method, which retains the advantages of physical programming while considering the fuzziness of the designer's preferences. The fuzzy preference function is introduced based on the model of linear physical programming, which is used to guide the search for improved solutions by interactive decision analysis. The example of multi-objective optimization design of the spindle of internal grinder demonstrates that the improved preference conforms to the subjective desires of the designer

Fuzzy Nonnative Phonolexical Representations Lead to Fuzzy Form-to-Meaning Mappings

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Svetlana V Cook

2016-09-01

Full Text Available The present paper explores nonnative (L2 phonological encoding of lexical entries and dissociates the difficulties associated with L2 phonological and phonolexical encoding by focusing on similarly sounding L2 words that are not differentiated by difficult phonological contrasts. We test two main claims of the fuzzy lexicon hypothesis: (1 L2 fuzzy phonolexical representations are not fully specified and lack details at both phonological and phonolexical levels of representation (Experiment 1; and (2 fuzzy phonolexical representations can lead to establishing incorrect form-to-meaning mappings (Experiment 2.The Russian-English Translation Priming task (Experiment 1, TJT explores how the degree of phonolexical similarity between a word and its lexical competitor affects lexical access of Russian words. Words with smaller phonolexical distance (e.g., parent - parrot show longer reaction times and lower accuracy compared to words with a larger phonolexical distance (e.g., parent – parchment in lower-proficiency nonnative speakers, and, to a lesser degree, higher-proficiency speakers. This points to a lack of detail in nonnative phonolexical representations necessary for efficient lexical access. The Russian Pseudo-Semantic Priming task (Experiment 2, PSP addresses the vulnerability of form-to-meaning mappings as a consequence of fuzzy phonolexical representations in L2. We primed the target with a word semantically related to its phonological competitor, or a potentially confusable word. The findings of Experiment 2 extend the results of Experiment 1 that, unlike native speakers, nonnative speakers do not properly encode phonolexical information. As a result, they are prone to access an incorrect lexical representation of a competitor word, as indicated by a slowdown in the judgments to confusable words.The study provides evidence that fuzzy phonolexical representations result in unfaithful form-to-meaning mappings, which lead to retrieval of

An extension of fuzzy decisi

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Basem Mohamed Elomda

2013-07-01

Full Text Available This paper presents a new extension to Fuzzy Decision Maps (FDMs by allowing use of fuzzy linguistic values to represent relative importance among criteria in the preference matrix as well as representing relative influence among criteria for computing the steady-state matrix in the stage of Fuzzy Cognitive Map (FCM. The proposed model is called the Linguistic Fuzzy Decision Networks (LFDNs. The proposed LFDN provides considerable flexibility to decision makers when solving real world Multi-Criteria Decision-Making (MCDM problems. The performance of the proposed LFDN model is compared with the original FDM using a previously published case study. The result of comparison ensures the ability to draw the same decisions with a more realistic decision environment.

Fuzzy control for optimal operation of complex chilling systems; Betriebsoptimierung von komplexen Kaelteanlagen mit Fuzzy-Control

Energy Technology Data Exchange (ETDEWEB)

Talebi-Daryani, R. [Fachhochschule Koeln (Germany). Lehrgebiet und Lab. fuer Regelungs- und Gebaeudeleittechnik; Luther, C. [JCI Regelungstechnik GmbH, Koeln (Germany)

1998-05-01

The optimization potentials for the operation of chilling systems within the building supervisory control systems are limited to abilities of PLC functions with their binary logic. The aim of this project is to replace inefficient PLC-solutions for the operation of chilling system by a Fuzzy control system. Optimal operation means: reducing operation time and operation costs of the system, reducing cooling energy generation- and consumption costs. Analysis of the thermal behaviour of the building and the chilling system is necessary, in order to find the current efficient cooling potentials and cooling methods during the operation. Three different Fuzzy controller have been developed with a total rule number of just 70. This realized Fuzzy control system is able to forecast the maximum cooling power of the building, but also to determine the cooling potential of the out door air. This new Fuzzy control system has been successfully commissioned, and remarkable improvement of the system behaviour is reached. Comparison of the system behaviour before and after the implementation of Fuzzy control system proved the benefits of the Fuzzy logic based operation system realized here. The system described here is a joint project between the University of applied sciences Cologne, and Johnson Controls International Cologne. The Fuzzy software tool used here (SUCO soft Fuzzy TECH 4.0), was provided by Kloeckner Moeller Bonn. (orig.) [Deutsch] Die Betriebsoptimierung von Kaelteanlagen innerhalb von Gebaeudeleitsystemen ist auf die Faehigkeiten von logischen Steuerverknuepfungen der Digitaltechnik begrenzt. In diesem Zusammenhang kann nur ein geringer Anteil der Information ueber das thermische Speicherverhalten des jeweiligen Gebaeudes herangezogen werden. Ziel des vorliegenden Projektes war es, die unzureichenden logischen Steuerverknuepfungen durch ein Fuzzy-Control-System zu ersetzen, um die Arbeitsweise der Kaelteanlage zu optimieren. Die Optimierungskriterien dieses

Forecasting Enrollments with Fuzzy Time Series.

Science.gov (United States)

Song, Qiang; Chissom, Brad S.

The concept of fuzzy time series is introduced and used to forecast the enrollment of a university. Fuzzy time series, an aspect of fuzzy set theory, forecasts enrollment using a first-order time-invariant model. To evaluate the model, the conventional linear regression technique is applied and the predicted values obtained are compared to the…

Fuzzy control of pressurizer dynamic process

International Nuclear Information System (INIS)

Ming Zhedong; Zhao Fuyu

2006-01-01

Considering the characteristics of pressurizer dynamic process, the fuzzy control system that takes the advantages of both fuzzy controller and PID controller is designed for the dynamic process in pressurizer. The simulation results illustrate this type of composite control system is with better qualities than those of single fuzzy controller and single PID controller. (authors)

A version of Stone-Weierstrass theorem in Fuzzy Analysis

Energy Technology Data Exchange (ETDEWEB)

Font, J.J.; Sanchis, D.; Sanchis, M.

2017-07-01

Fuzzy numbers provide formalized tools to deal with non-precise quantities. They are indeed fuzzy sets in the real line and were introduced in 1978 by Dubois and Prade , who also defined their basic operations. Since then, Fuzzy Analysis has developed based on the notion of fuzzy number just as much as classical Real Analysis did based on the concept of real number. Such development was eased by a characterization of fuzzy numbers provided in 1986 by Goetschel and Voxman leaning on their level sets. As in the classical setting, continuous fuzzy-valued functions (fuzzy functions) are the central core of the theory. The principal difference with regard to real-valued continuous functions is the fact that the fuzzy numbers do not form a vectorial space, which determines all the results, and, especially, the proofs. The study of fuzzy functions has developed, principally, about two lines of investigation: - Differential fuzzy equations, which have turned out to be the natural way of modelling physical and engineering problems in contexts where the parameters are vague or incomplete. - The problem of approximation of fuzzy functions, basically using the approximation capability of fuzzy neural networks. We will focus on this second line of investigation, though our approach will be more general and based on an adaptation of the famous Stone-Weierstrass Theorem to the fuzzy context. This way so, we introduce the concept of “multiplier” of a set of fuzzy functions and use it to give a constructive proof of a Stone-Weiestrass type theorem for fuzzy functions. (Author)

Qualitative assessment of environmental impacts through fuzzy logic

International Nuclear Information System (INIS)

Peche G, Roberto

2008-01-01

The vagueness of many concepts usually utilized in environmental impact studies, along with frequent lack of quantitative information, suggests that fuzzy logic can be applied to carry out qualitative assessment of such impacts. This paper proposes a method for valuing environmental impacts caused by projects, based on fuzzy sets theory and methods of approximate reasoning. First, impacts must be described by a set of features. A linguistic variable is assigned to each feature, whose values are fuzzy sets. A fuzzy evaluation of environmental impacts is achieved using rule based fuzzy inference and the estimated fuzzy value of each feature. Generalized modus ponens has been the inference method. Finally, a crisp value of impact is attained by aggregation and defuzzification of all fuzzy results

a New Model for Fuzzy Personalized Route Planning Using Fuzzy Linguistic Preference Relation

Science.gov (United States)

Nadi, S.; Houshyaripour, A. H.

2017-09-01

This paper proposes a new model for personalized route planning under uncertain condition. Personalized routing, involves different sources of uncertainty. These uncertainties can be raised from user's ambiguity about their preferences, imprecise criteria values and modelling process. The proposed model uses Fuzzy Linguistic Preference Relation Analytical Hierarchical Process (FLPRAHP) to analyse user's preferences under uncertainty. Routing is a multi-criteria task especially in transportation networks, where the users wish to optimize their routes based on different criteria. However, due to the lake of knowledge about the preferences of different users and uncertainties available in the criteria values, we propose a new personalized fuzzy routing method based on the fuzzy ranking using center of gravity. The model employed FLPRAHP method to aggregate uncertain criteria values regarding uncertain user's preferences while improve consistency with least possible comparisons. An illustrative example presents the effectiveness and capability of the proposed model to calculate best personalize route under fuzziness and uncertainty.

Consolidity analysis for fully fuzzy functions, matrices, probability and statistics

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Walaa Ibrahim Gabr

2015-03-01

Full Text Available The paper presents a comprehensive review of the know-how for developing the systems consolidity theory for modeling, analysis, optimization and design in fully fuzzy environment. The solving of systems consolidity theory included its development for handling new functions of different dimensionalities, fuzzy analytic geometry, fuzzy vector analysis, functions of fuzzy complex variables, ordinary differentiation of fuzzy functions and partial fraction of fuzzy polynomials. On the other hand, the handling of fuzzy matrices covered determinants of fuzzy matrices, the eigenvalues of fuzzy matrices, and solving least-squares fuzzy linear equations. The approach demonstrated to be also applicable in a systematic way in handling new fuzzy probabilistic and statistical problems. This included extending the conventional probabilistic and statistical analysis for handling fuzzy random data. Application also covered the consolidity of fuzzy optimization problems. Various numerical examples solved have demonstrated that the new consolidity concept is highly effective in solving in a compact form the propagation of fuzziness in linear, nonlinear, multivariable and dynamic problems with different types of complexities. Finally, it is demonstrated that the implementation of the suggested fuzzy mathematics can be easily embedded within normal mathematics through building special fuzzy functions library inside the computational Matlab Toolbox or using other similar software languages.

Envolvimento parental na terapia cognitivo comportamental em crianças com perturbações de ansiedade : caracterização e seus determinantes

OpenAIRE

Santos, Inês Cabugueira Custódio dos

2013-01-01

Tese de mestrado, Psicologia (Secção de Psicologia Clínica e da Saúde - Núcleo de Psicologia da Saúde e da Doença), Universidade de Lisboa, Faculdade de Psicologia, 2013 Enquadramento: A Terapia Cognitivo Comportamental tem sido apontada como a mais eficaz na intervenção com crianças ansiosas. A forma como os pais são envolvidos no processo tem sido alvo de diversos estudos que procuram verificar as diferenças eficácia terapêutica, face aos diferentes tipos de envolvimento parental. O pres...

Controle fuzzy espacialmente diferenciado para um sistema de irrigação

OpenAIRE

Feliciano, Rafaelle de Aguiar Correia

2012-01-01

Projetos de irrigação tradicionais não determinam localmente a disponibilidade de água no solo. Assim, podem ocorrer ciclos irregulares de irrigação: alguns insuficientes, o que provoca déficit de água; outros em demasia, o que causa falta de oxigenação nas plantas. Devido à natureza não-linear do problema e do ambiente multivariável de processos de irrigação, a lógica fuzzy é sugerida como substituta aos sistemas comerciais de irrigação tipo ON-OFF com temporização pré-definid...

An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques

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Elid Rubio

2017-01-01

Full Text Available In this work an extension of the Fuzzy Possibilistic C-Means (FPCM algorithm using Type-2 Fuzzy Logic Techniques is presented, and this is done in order to improve the efficiency of FPCM algorithm. With the purpose of observing the performance of the proposal against the Interval Type-2 Fuzzy C-Means algorithm, several experiments were made using both algorithms with well-known datasets, such as Wine, WDBC, Iris Flower, Ionosphere, Abalone, and Cover type. In addition some experiments were performed using another set of test images to observe the behavior of both of the above-mentioned algorithms in image preprocessing. Some comparisons are performed between the proposed algorithm and the Interval Type-2 Fuzzy C-Means (IT2FCM algorithm to observe if the proposed approach has better performance than this algorithm.

A study on generalized hesitant intuitionistic Fuzzy soft sets

Science.gov (United States)

Nazra, A.; Syafruddin; Wicaksono, G. C.; Syafwan, M.

2018-03-01

By combining the concept of hesitant intuitionistic fuzzy sets, fuzzy soft sets and fuzzy sets, we extend hesitant intuitionistic fuzzy soft sets to a generalized hesitant intuitionistic fuzzy soft sets. Some operations on generalized hesitant intuitionistic fuzzy soft sets, such as union, complement, operations “AND” and “OR”, and intersection are defined. From such operations the authors obtain related properties such as commutative, associative and De Morgan's laws. The authors also get an algebraic structure of the collection of all generalized hesitant intuitionistic fuzzy soft sets over a set.

“HERRAMIENTA COMPUTACIONAL EDUCATIVA PARA EL APRENDIZAJE DE SISTEMAS DIFUSOS”

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Edwar Jacinto Gómez

2011-11-01

Full Text Available Este artículo presenta el software  Fuzzy Tool desarrollado como una herramienta educativa para el aprendizaje de sistemas difusos, define los métodos y operaciones difusos más importantes y utilizadas en el diseño de sistemas difusos en el mundo. FuzzyTool se implementó como una herramienta computacional educativa teniendo como referencia cada una de lo programas que se encuentran en la actualidad para el desarrollo, diseño y simulación de sistemas y controladores difusas (fuzzytech, Matlab, Unfuzzy, etc..La herramienta que se desarrollo le entrega al usuario una interfaz gráfica donde es guiado en el diseño de los sistemas difusos, por medio de tres pasos fundamentales como lo son: la edición de las variables, la construcción de la base de reglas o base de conocimiento y por ultimo, la inferencia de reglas.

Psychometric properties of the brazilian version of the Behavioral Inhibition Instrument (BII and associations with psychopathological symptoms = Propriedades psicométricas da versão brasileira do Behavioral Inhibition Instrument (BII e associações com sintomas psicopatológicos

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DeSousa, Diogo Araújo

2013-01-01

Full Text Available Os objetivos desse estudo foram investigar propriedades psicométricas da versão brasileira do Behavioral Inhibition Instrument (BII e suas associações com sintomas de ansiedade e depressão em crianças e adolescentes. Participaram 838 estudantes com idades entre 9-18 anos (M=12,89; DP=2,10 de uma amostra comunitária respondendo a versão brasileira do BII e questionários de autorrelato de sintomas de ansiedade e depressão. Os resultados demonstraram que a prevalência de crianças e adolescentes na categoria de alta inibição comportamental foi de 16,6%. O BII apresentou propriedades psicométricas satisfatórias com maiores níveis de inibição comportamental correlacionados a maiores níveis de sintomas de ansiedade e depressão, especialmente para sintomas de fobia social. Além disso, participantes com altos escores de inibição comportamental tiveram maior probabilidade de apresentar sintomas de ansiedade em um espectro clínico ou subclínico, especialmente para fobia social. Implicações para intervenções preventivas precoces são brevemente discutidas

Uma comparação entre os métodos TOPSIS e Fuzzy-TOPSIS no apoio à tomada de decisão multicritério para seleção de fornecedores

OpenAIRE

Lima Junior,Francisco Rodrigues; Carpinetti,Luiz Cesar Ribeiro

2015-01-01

A seleção de fornecedores é considerada a atividade mais crítica da função de compras e impacta diretamente a qualidade dos produtos manufaturados e o desempenho do comprador. Na literatura acadêmica, dezenas de métodos de tomada de decisão multicritério vêm sendo explorados para apoiar a seleção de fornecedores. Dentre esses, o TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) e o Fuzzy-TOPSIS (uma adaptação do primeiro) se destacam por sua simplicidade de uso e pela...

A note on the L-fuzzy Banach's contraction principle

International Nuclear Information System (INIS)

Martinez-Moreno, J.; Roldan, A.; Roldan, C.

2009-01-01

Recently, Alaca et al. [Alaca C, Turkoglu D, Yildiz C. Fixed points in intuitionistic fuzzy metric spaces. Chaos, Solitons and Fractals 2006;29:10738] proved fuzzy Banach fixed point theorem in intuitionistic fuzzy metric spaces and Saadati [Saadati R. Notes to the paper 'fixed points in intuitionistic fuzzy metric spaces' and its generalization to L-fuzzy metric spaces. Chaos, Solitions and Fractals 2008;35:80-176] extended it in generalized fuzzy metric spaces. The purpose of this paper is to give a correct proof of the main result in Saadati [Saadati R. Notes to the paper 'fixed points in intuitionistic fuzzy metric spaces' and its generalization to L-fuzzy metric spaces. Chaos, Solitions and Fractals 2008;35:80-176].

FUZZY LOGIC IN LEGAL EDUCATION

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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

INFUZZY: Ferramenta para desenvolvimento de aplicações de sistemas difusos

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Ederson Luis Posselt

2015-04-01

Full Text Available A ferramenta de modelagem de sistemas difusos, InFuzzy, foi desenvolvida com o intuito de agir como um facilitador do uso da técnica por parte de estudantes e de profissionais interessados nessa subárea da Inteligência Artificial (IA. A lógica difusa é uma excelente técnica para a solução de problemas que envolvam o uso de dados imprecisos, porém, a sua implementação e o seu entendimento não são fatos triviais. As seguintes etapas foram contempladas: estudo dos conceitos da lógica difusa, softwares existentes no mercado, ergonomia e usabilidade de interfaces, modelagem e desenvolvimento da ferramenta InFuzzy e homologação das suas funcionalidades. Como resultado, apresenta-se a ferramenta desenvolvida, uma interface gráfica para modelagem de aplicações de sistemas difusos, dotada de recursos de simulação e integração com outros softwares por meio do protocolo UDP/IP. Até o momento, muitos usuários instalaram o software InFuzzy, dentre ao quais pesquisadores e alunos de programas de mestrado e de doutorado dos seguintes estados brasileiros: Amazonas, Bahia, Ceará, Espírito Santo, Goiás, Maranhão, Minas Gerais, Pará, Paraíba, Pernambuco, Piauí, Paraná, Rio de Janeiro, Rio Grande do Norte, Rondônia, Rio Grande do Sul, Santa Catarina, São Paulo e Distrito Federal.

More on θ-compact fuzzy topological spaces

International Nuclear Information System (INIS)

Ekici, Erdal

2006-01-01

Recently, El-Naschie has shown that the notion of fuzzy topology may be relevant to quantum particle physics in connection with string theory and ε ∞ theory. In 2005, Caldas and Jafari have introduced θ-compact fuzzy topological spaces. The purpose of this paper is to investigate further properties of θ-compact fuzzy topological spaces. Moreover, the notion of θ-closed fuzzy topological spaces is introduced and properties of it are obtained

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

Science.gov (United States)

Akhavan, P.; Karimi, M.; Pahlavani, P.

2014-10-01

Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can be passed on to human through phlebotomus of vector-born. Studies show that economic situation, cultural issues, as well as environmental and ecological conditions can affect the prevalence of this disease. In this study, Data Mining is utilized in order to predict CL prevalence rate and obtain a risk map. This case is based on effective environmental parameters on CL and a Neuro-Fuzzy system was also used. Learning capacity of Neuro-Fuzzy systems in neural network on one hand and reasoning power of fuzzy systems on the other, make it very efficient to use. In this research, in order to predict CL prevalence rate, an adaptive Neuro-fuzzy inference system with fuzzy inference structure of fuzzy C Means clustering was applied to determine the initial membership functions. Regarding to high incidence of CL in Ilam province, counties of Ilam, Mehran, and Dehloran have been examined and evaluated. The CL prevalence rate was predicted in 2012 by providing effective environmental map and topography properties including temperature, moisture, annual, rainfall, vegetation and elevation. Results indicate that the model precision with fuzzy C Means clustering structure rises acceptable RMSE values of both training and checking data and support our analyses. Using the proposed data mining technology, the pattern of disease spatial distribution and vulnerable areas become identifiable and the map can be used by experts and decision makers of public health as a useful tool in management and optimal decision-making.

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

Directory of Open Access Journals (Sweden)

P. Akhavan

2014-10-01

Full Text Available Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL created by Leishmania is a special parasitic disease which can be passed on to human through phlebotomus of vector-born. Studies show that economic situation, cultural issues, as well as environmental and ecological conditions can affect the prevalence of this disease. In this study, Data Mining is utilized in order to predict CL prevalence rate and obtain a risk map. This case is based on effective environmental parameters on CL and a Neuro-Fuzzy system was also used. Learning capacity of Neuro-Fuzzy systems in neural network on one hand and reasoning power of fuzzy systems on the other, make it very efficient to use. In this research, in order to predict CL prevalence rate, an adaptive Neuro-fuzzy inference system with fuzzy inference structure of fuzzy C Means clustering was applied to determine the initial membership functions. Regarding to high incidence of CL in Ilam province, counties of Ilam, Mehran, and Dehloran have been examined and evaluated. The CL prevalence rate was predicted in 2012 by providing effective environmental map and topography properties including temperature, moisture, annual, rainfall, vegetation and elevation. Results indicate that the model precision with fuzzy C Means clustering structure rises acceptable RMSE values of both training and checking data and support our analyses. Using the proposed data mining technology, the pattern of disease spatial distribution and vulnerable areas become identifiable and the map can be used by experts and decision makers of public health as a useful tool in management and optimal decision-making.

Stabilization of nonlinear systems using sampled-data output-feedback fuzzy controller based on polynomial-fuzzy-model-based control approach.

Science.gov (United States)

Lam, H K

2012-02-01

This paper investigates the stability of sampled-data output-feedback (SDOF) polynomial-fuzzy-model-based control systems. Representing the nonlinear plant using a polynomial fuzzy model, an SDOF fuzzy controller is proposed to perform the control process using the system output information. As only the system output is available for feedback compensation, it is more challenging for the controller design and system analysis compared to the full-state-feedback case. Furthermore, because of the sampling activity, the control signal is kept constant by the zero-order hold during the sampling period, which complicates the system dynamics and makes the stability analysis more difficult. In this paper, two cases of SDOF fuzzy controllers, which either share the same number of fuzzy rules or not, are considered. The system stability is investigated based on the Lyapunov stability theory using the sum-of-squares (SOS) approach. SOS-based stability conditions are obtained to guarantee the system stability and synthesize the SDOF fuzzy controller. Simulation examples are given to demonstrate the merits of the proposed SDOF fuzzy control approach.

Estudo da logística de distribuição física de um laticínio utilizando lógica fuzzy Study of physical distribution logistics of a dairy industry using fuzzy logic

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Alysson Vinícius Neves dos Santos

2012-08-01

Full Text Available Este estudo versa sobre a viabilidade da aplicação da lógica fuzzy para auxiliar o gerente de uma indústria de laticínios na tomada de decisão na área de logística de distribuição física. O estudo de caso realizado numa indústria de laticínios de pequeno porte em Minas Gerais identificou que, a cada novo pedido solicitado via internet, o profissional de logística manipula ao mesmo tempo um grande número de informações e decide, com base na sua experiência, a melhor forma de distribuição desses pedidos. A proposta deste trabalho é apresentar um modelo fuzzy como uma alternativa de apoio aos métodos tradicionais de processamento de pedidos e tomada de decisão logística. Os resultados permitiram concluir que o modelo foi transcrito de forma adequada ao problema proposto ao apresentar as mesmas decisões tomadas pelo especialista e que, se observados os pontos fracos detectados, este modelo pode se constituir em importante ferramenta para a competitividade das indústrias.This study focuses on the viability of fuzzy logic application to assist the management of a dairy industry in the process of decision-making in physical distribution logistics. The case study, carried out in a small dairy industry in the State of Minas Gerais, identified that, for each new order request via internet, the logistician copes with a large amount of information at the same time and decides, based on experience, the best way to distribute such orders. The purpose of this research was to present a fuzzy model as an alternative support to traditional methods for order processing and logistics decision-making. The results showed that the model adequately reproduced the problem proposed as it produced the same decisions made by the specialist and, if the weak points detected are observed, this model can be used as an important tool for the competitiveness of industries.

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

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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.

Type-2 fuzzy granular models

CERN Document Server

Sanchez, Mauricio A; Castro, Juan R

2017-01-01

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules.

Fuzzy expert systems using CLIPS

Science.gov (United States)

Le, Thach C.

1994-01-01

This paper describes a CLIPS-based fuzzy expert system development environment called FCLIPS and illustrates its application to the simulated cart-pole balancing problem. FCLIPS is a straightforward extension of CLIPS without any alteration to the CLIPS internal structures. It makes use of the object-oriented and module features in CLIPS version 6.0 for the implementation of fuzzy logic concepts. Systems of varying degrees of mixed Boolean and fuzzy rules can be implemented in CLIPS. Design and implementation issues of FCLIPS will also be discussed.

Possibility Fuzzy Soft Set

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Shawkat Alkhazaleh

2011-01-01

Full Text Available We introduce the concept of possibility fuzzy soft set and its operation and study some of its properties. We give applications of this theory in solving a decision-making problem. We also introduce a similarity measure of two possibility fuzzy soft sets and discuss their application in a medical diagnosis problem.

Operator’s Fuzzy Norm and Some Properties

OpenAIRE

Bag, T.; Samanta, S.K.

2015-01-01

In this paper, a concept of operator’s fuzzy norm is introduced for the first time in general t-norm setting. Ideas of fuzzy continuous operators, fuzzy bounded linear operators are given with some properties of such operators studied in this general setting.

The majority rule in a fuzzy environment.

OpenAIRE

Montero, Javier

1986-01-01

In this paper, an axiomatic approach to rational decision making in a fuzzy environment is studied. In particular, the majority rule is proposed as a rational way for aggregating fuzzy opinions in a group, when such agroup is defined as a fuzzy set.

New types of bipolar fuzzy sets in -semihypergroups

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Naveed Yaqoob

2016-04-01

Full Text Available The notion of bipolar fuzzy set was initiated by Lee (2000 as a generalization of the notion fuzzy sets and intuitionistic fuzzy sets, which have drawn attention of many mathematicians and computer scientists. In this paper, we initiate a study on bipolar ( , -fuzzy sets in -semihypergroups. By using the concept of bipolar ( , -fuzzy sets (Yaqoob and Ansari, 2013, we introduce the notion of bipolar ( , -fuzzy sub -semihypergroups (-hyperideals and bi--hyperideals and discuss some basic results on bipolar ( , -fuzzy sets in -semihypergroups. Furthermore, we define the bipolar fuzzy subset ,               and prove that if  ,       is a bipolar ( , -fuzzy sub -semihypergroup (resp., -hyperideal and bi--hyperideal of H; then ,               is also a bipolar ( , -fuzzy sub -semihypergroup (resp., -hyperideal and bi--hyperideal of H.

Make man-machine communication easier: fuzzy programming

Energy Technology Data Exchange (ETDEWEB)

Farreny, H; Prade, H

1982-06-01

Procedures and data used by the human brain are not always accurately specified; fuzzy programming may help in the realisation of languages for the manipulation of such fuzzy entities. After having considered fuzzy instruction and its requirements, arguments, functions, predicates and designations, the authors present the outlines of a fuzzy filtering system. Two applications are given as examples; these are the accessing of a database and an expert system which may be used to solve problems in robotics.

Fuzzy controller of speed-power of a synchronous micro generator; Controlador difuso de velocidad-potencia de un microgenerador sincrono

Energy Technology Data Exchange (ETDEWEB)

Martinez Alvarado, Raziel

2002-11-01

This thesis shows the design and implementation of a speed-power fuzzy-logic controller. The controller implementation was carried out on the Schrage motor-synchronous generator set. The synchronous alternator is rated 7 kVA, 220 V, 1800 rpm, 60 Hz. Two PI like fuzzy-logic controllers were developed with 9 and 25 rules. The controllers use the speed or power error and its integral as input variables and as an output the control signal from the brush-positioner of the Schrage motor. At the controller design stage, the anfis (adaptive-network-based fuzzy inference system) learning and structure procedure was used for tuning up parameters of the membership functions used on the designed fuzzy controllers. These controllers are first-order Sugeno-type. The designed controllers were tested on the motor-generator set under loaded and no-loaded conditions. It was found that PI-9 rules fuzzy-logic controller had better performance on both operating conditions. [Spanish] En este trabajo de tesis se presenta el diseno e implementacion de un controlador difuso de velocidad-potencia, para un grupo motor Schrage-generador sincrono de 7 kVA, 220 V, 1800 rpm, 60 Hz. Se implementaron controladores difusos del tipo PI de 9 y 25 reglas. Estos controladores utilizan como variables de entrada el error y la integral del error, de velocidad o potencia segun corresponda, y como variable de salida la senal de control del posicionador de las escobillas del motor Schrage. En la etapa de diseno de los controladores, se utilizo la estructura y el procedimiento de aprendizaje anfis (Sistema de Inferencia Difuso Basado en Redes Adaptables, por sus siglas en ingles) para sintonizar los parametros de las funciones de membresia de los controladores difusos, los cuales son del tipo Sugeno de primer orden. Con la finalidad de validar los controladores disenados, se realizaron pruebas experimentales al grupo motor-generador en condiciones de vacio y carga. Se encontro que el controlador difuso tipo

Driver's Behavior Modeling Using Fuzzy Logic

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Sehraneh Ghaemi

2010-01-01

Full Text Available In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.

Decision model on the demographic profile for tuberculosis control using fuzzy logic

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Laisa Ribeiro de Sá

2015-06-01

Full Text Available This study aimed to describe the relationship between demographic factors and the involvement of tuberculosis by applying a decision support model based on fuzzy logic to classify the regions as priority and non-priority in the city of João Pessoa, state of Paraíba (PB. As data source, we used the Notifiable Diseases Information System between 2009 and 2011. We chose the descriptive analysis, relative risk (RR, spatial distribution and fuzzy logic. The total of 1,245 cases remained in the study, accounting for 37.02% of cases in 2009. High and low risk clusters were identified, and the RR was higher among men (8.47, with 12 clusters, and among those uneducated (11.65, with 13 clusters. To demonstrate the functionality of the model was elected the year with highest number of cases, and the municipality district with highest population. The methodology identified priority areas, guiding managers to make decisions that respect the local particularities.

Fuzzy logic control and optimization system

Science.gov (United States)

Lou, Xinsheng [West Hartford, CT

2012-04-17

A control system (300) for optimizing a power plant includes a chemical loop having an input for receiving an input signal (369) and an output for outputting an output signal (367), and a hierarchical fuzzy control system (400) operably connected to the chemical loop. The hierarchical fuzzy control system (400) includes a plurality of fuzzy controllers (330). The hierarchical fuzzy control system (400) receives the output signal (367), optimizes the input signal (369) based on the received output signal (367), and outputs an optimized input signal (369) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

Fuzzy logic applications to control engineering

Science.gov (United States)

Langari, Reza

1993-12-01

This paper presents the results of a project presently under way at Texas A&M which focuses on the use of fuzzy logic in integrated control of manufacturing systems. The specific problems investigated here include diagnosis of critical tool wear in machining of metals via a neuro-fuzzy algorithm, as well as compensation of friction in mechanical positioning systems via an adaptive fuzzy logic algorithm. The results indicate that fuzzy logic in conjunction with conventional algorithmic based approaches or neural nets can prove useful in dealing with the intricacies of control/monitoring of manufacturing systems and can potentially play an active role in multi-modal integrated control systems of the future.

Fuzzy model-based observers for fault detection in CSTR.

Science.gov (United States)

Ballesteros-Moncada, Hazael; Herrera-López, Enrique J; Anzurez-Marín, Juan

2015-11-01

Under the vast variety of fuzzy model-based observers reported in the literature, what would be the properone to be used for fault detection in a class of chemical reactor? In this study four fuzzy model-based observers for sensor fault detection of a Continuous Stirred Tank Reactor were designed and compared. The designs include (i) a Luenberger fuzzy observer, (ii) a Luenberger fuzzy observer with sliding modes, (iii) a Walcott-Zak fuzzy observer, and (iv) an Utkin fuzzy observer. A negative, an oscillating fault signal, and a bounded random noise signal with a maximum value of ±0.4 were used to evaluate and compare the performance of the fuzzy observers. The Utkin fuzzy observer showed the best performance under the tested conditions. Copyright © 2015 ISA. Published by Elsevier Ltd. All rights reserved.

Some fixed point theorems in fuzzy reflexive Banach spaces

International Nuclear Information System (INIS)

Sadeqi, I.; Solaty kia, F.

2009-01-01

In this paper, we first show that there are some gaps in the fixed point theorems for fuzzy non-expansive mappings which are proved by Bag and Samanta, in [Bag T, Samanta SK. Fixed point theorems on fuzzy normed linear spaces. Inf Sci 2006;176:2910-31; Bag T, Samanta SK. Some fixed point theorems in fuzzy normed linear spaces. Inform Sci 2007;177(3):3271-89]. By introducing the notion of fuzzy and α- fuzzy reflexive Banach spaces, we obtain some results which help us to establish the correct version of fuzzy fixed point theorems. Second, by applying Theorem 3.3 of Sadeqi and Solati kia [Sadeqi I, Solati kia F. Fuzzy normed linear space and it's topological structure. Chaos, Solitons and Fractals, in press] which says that any fuzzy normed linear space is also a topological vector space, we show that all topological version of fixed point theorems do hold in fuzzy normed linear spaces.

Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data

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Peter Hofmann

2016-06-01

Full Text Available The classes in fuzzy classification schemes are defined as fuzzy sets, partitioning the feature space through fuzzy rules, defined by fuzzy membership functions. Applying fuzzy classification schemes in remote sensing allows each pixel or segment to be an incomplete member of more than one class simultaneously, i.e., one that does not fully meet all of the classification criteria for any one of the classes and is member of more than one class simultaneously. This can lead to fuzzy, ambiguous and uncertain class assignation, which is unacceptable for many applications, indicating the need for a reliable defuzzification method. Defuzzification in remote sensing has to date, been performed by “crisp-assigning” each fuzzy-classified pixel or segment to the class for which it best fulfills the fuzzy classification rules, regardless of its classification fuzziness, uncertainty or ambiguity (maximum method. The defuzzification of an uncertain or ambiguous fuzzy classification leads to a more or less reliable crisp classification. In this paper the most common parameters for expressing classification uncertainty, fuzziness and ambiguity are analysed and discussed in terms of their ability to express the reliability of a crisp classification. This is done by means of a typical practical example from Object Based Image Analysis (OBIA.

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.

Design of fuzzy systems using neurofuzzy networks.

Science.gov (United States)

Figueiredo, M; Gomide, F

1999-01-01

This paper introduces a systematic approach for fuzzy system design based on a class of neural fuzzy networks built upon a general neuron model. The network structure is such that it encodes the knowledge learned in the form of if-then fuzzy rules and processes data following fuzzy reasoning principles. The technique provides a mechanism to obtain rules covering the whole input/output space as well as the membership functions (including their shapes) for each input variable. Such characteristics are of utmost importance in fuzzy systems design and application. In addition, after learning, it is very simple to extract fuzzy rules in the linguistic form. The network has universal approximation capability, a property very useful in, e.g., modeling and control applications. Here we focus on function approximation problems as a vehicle to illustrate its usefulness and to evaluate its performance. Comparisons with alternative approaches are also included. Both, nonnoisy and noisy data have been studied and considered in the computational experiments. The neural fuzzy network developed here and, consequently, the underlying approach, has shown to provide good results from the accuracy, complexity, and system design points of view.

COMPARISON of FUZZY-BASED MODELS in LANDSLIDE HAZARD MAPPING

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N. Mijani

2017-09-01

Full Text Available Landslide is one of the main geomorphic processes which effects on the development of prospect in mountainous areas and causes disastrous accidents. Landslide is an event which has different uncertain criteria such as altitude, slope, aspect, land use, vegetation density, precipitation, distance from the river and distance from the road network. This research aims to compare and evaluate different fuzzy-based models including Fuzzy Analytic Hierarchy Process (Fuzzy-AHP, Fuzzy Gamma and Fuzzy-OR. The main contribution of this paper reveals to the comprehensive criteria causing landslide hazard considering their uncertainties and comparison of different fuzzy-based models. The quantify of evaluation process are calculated by Density Ratio (DR and Quality Sum (QS. The proposed methodology implemented in Sari, one of the city of Iran which has faced multiple landslide accidents in recent years due to the particular environmental conditions. The achieved results of accuracy assessment based on the quantifier strated that Fuzzy-AHP model has higher accuracy compared to other two models in landslide hazard zonation. Accuracy of zoning obtained from Fuzzy-AHP model is respectively 0.92 and 0.45 based on method Precision (P and QS indicators. Based on obtained landslide hazard maps, Fuzzy-AHP, Fuzzy Gamma and Fuzzy-OR respectively cover 13, 26 and 35 percent of the study area with a very high risk level. Based on these findings, fuzzy-AHP model has been selected as the most appropriate method of zoning landslide in the city of Sari and the Fuzzy-gamma method with a minor difference is in the second order.

Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study

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Yashon O. Ouma

2015-01-01

Full Text Available For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy Process (AHP and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS is evaluated. The pavement distress data was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the pavement conditions for automated maintenance prioritization. From the case study results, four pavement maintenance objectives were determined as road safety, pavement surface preservation, road operational status and standards, and road aesthetics, with corresponding depreciating significance weights of W=0.37,0.31,0.22,0.10T. The top three maintenance functions were identified as Thin Hot Mix Asphalt (HMA overlays, resurfacing and slurry seals, which were a result of pavement cracking, potholes, raveling, and patching, while the bottom three were cape seal, micro surfacing, and fog seal. The two methods gave nearly the same prioritization ranking. In general, the fuzzy AHP approach tended to overestimate the maintenance prioritization ranking as compared to the fuzzy TOPSIS.

Escala de medición del proceso de afrontamiento y adaptación de Callista Roy: una propuesta metodológica para su interpretación

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Carolina Gutiérrez López

2009-01-01

Full Text Available El objetivo es proponer una nueva categorización, para precisarel grado de capacidad del proceso de afrontamiento y adapta-ción y conceptualizar sus estilos y estrategias. El estudio meto-dológico presenta una propuesta de cuatro categorías ordinales,en las cuales se utiliza el escalonamiento de Likert, deęnidascomo: baja, mediana, alta y muy alta capacidad de afrontamien-to. En cuanto a los resultados,se establecen cuatro categoríaspara cada factor global, conceptualizando cada categoría segúnestilos de afrontamiento: activos, pasivos o evitativos; dominiosde las estrategias de afrontamiento: cognitivo, conductual o com-portamental y emocional. Se concluye que las cuatro categoríasproporcionan información precisa del proceso de afrontamientoy adaptación del paciente para que la planeación y las interven-ciones de cuidado de enfermería sean más focalizadas a mejoraro reforzar estilos y estrategias para su adaptación.

ST-intuitionistic fuzzy metric space with properties

Science.gov (United States)

Arora, Sahil; Kumar, Tanuj

2017-07-01

In this paper, we define ST-intuitionistic fuzzy metric space and the notion of convergence and completeness properties of cauchy sequences is studied. Further, we prove some properties of ST-intuitionistic fuzzy metric space. Finally, we introduce the concept of symmetric ST Intuitionistic Fuzzy metric space.

Fuzzy associative memories for instrument fault detection

International Nuclear Information System (INIS)

Heger, A.S.

1996-01-01

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)

Analysis of inventory difference using fuzzy controllers

International Nuclear Information System (INIS)

Zardecki, A.

1994-01-01

The principal objectives of an accounting system for safeguarding nuclear materials are as follows: (a) to provide assurance that all material quantities are present in the correct amount; (b) to provide timely detection of material loss; and (c) to estimate the amount of any loss and its location. In fuzzy control, expert knowledge is encoded in the form of fuzzy rules, which describe recommended actions for different classes of situations represented by fuzzy sets. The concept of a fuzzy controller is applied to the forecasting problem in a time series, specifically, to forecasting and detecting anomalies in inventory differences. This paper reviews the basic notion underlying the fuzzy control systems and provides examples of application. The well-known material-unaccounted-for diffusion plant data of Jaech are analyzed using both feedforward neural networks and fuzzy controllers. By forming a deference between the forecasted and observed signals, an efficient method to detect small signals in background noise is implemented

On Algebraic Study of Type-2 Fuzzy Finite State Automata

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Anupam K. Singh

2017-08-01

Full Text Available Theories of fuzzy sets and type-2 fuzzy sets are powerful mathematical tools for modeling various types of uncertainty. In this paper we introduce the concept of type-2 fuzzy finite state automata and discuss the algebraic study of type-2 fuzzy finite state automata, i.e., to introduce the concept of homomorphisms between two type-2 fuzzy finite state automata, to associate a type-2 fuzzy transformation semigroup with a type-2 fuzzy finite state automata. Finally, we discuss several product of type-2 fuzzy finite state automata and shown that these product is a categorical product.

A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics theory and applications

CERN Document Server

de Barros, Laécio Carvalho; Lodwick, Weldon Alexander

2017-01-01

This book provides an essential introduction to the field of dynamical models. Starting from classical theories such as set theory and probability, it allows readers to draw near to the fuzzy case. On one hand, the book equips readers with a fundamental understanding of the theoretical underpinnings of fuzzy sets and fuzzy dynamical systems. On the other, it demonstrates how these theories are used to solve modeling problems in biomathematics, and presents existing derivatives and integrals applied to the context of fuzzy functions. Each of the major topics is accompanied by examples, worked-out exercises, and exercises to be completed. Moreover, many applications to real problems are presented. The book has been developed on the basis of the authors’ lectures to university students and is accordingly primarily intended as a textbook for both upper-level undergraduates and graduates in applied mathematics, statistics, and engineering. It also offers a valuable resource for practitioners such as mathematical...

Aumann Fuzzy Improper Integral and Its Application to Solve Fuzzy Integro-Differential Equations by Laplace Transform Method

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Elhassan Eljaoui

2018-01-01

Full Text Available We introduce the Aumann fuzzy improper integral to define the convolution product of a fuzzy mapping and a crisp function in this paper. The Laplace convolution formula is proved in this case and used to solve fuzzy integro-differential equations with kernel of convolution type. Then, we report and correct an error in the article by Salahshour et al. dealing with the same topic.

Solving fuzzy two-point boundary value problem using fuzzy Laplace transform

OpenAIRE

Ahmad, Latif; Farooq, Muhammad; Ullah, Saif; Abdullah, Saleem

2014-01-01

A natural way to model dynamic systems under uncertainty is to use fuzzy boundary value problems (FBVPs) and related uncertain systems. In this paper we use fuzzy Laplace transform to find the solution of two-point boundary value under generalized Hukuhara differentiability. We illustrate the method for the solution of the well known two-point boundary value problem Schrodinger equation, and homogeneous boundary value problem. Consequently, we investigate the solutions of FBVPs under as a ne...

Probabilistic Quadratic Programming Problems with Some Fuzzy Parameters

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S. K. Barik

2012-01-01

making problem by using some specified random variables and fuzzy numbers. In the present paper, randomness is characterized by Weibull random variables and fuzziness is characterized by triangular and trapezoidal fuzzy number. A defuzzification method has been introduced for finding the crisp values of the fuzzy numbers using the proportional probability density function associated with the membership functions of these fuzzy numbers. An equivalent deterministic crisp model has been established in order to solve the proposed model. Finally, a numerical example is presented to illustrate the solution procedure.

Fuzzy logic and neural networks basic concepts & application

CERN Document Server

Alavala, Chennakesava R

2008-01-01

About the Book: The primary purpose of this book is to provide the student with a comprehensive knowledge of basic concepts of fuzzy logic and neural networks. The hybridization of fuzzy logic and neural networks is also included. No previous knowledge of fuzzy logic and neural networks is required. Fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic applications. Extensive and carefully selected references is an invaluable resource for further study of fuzzy logic and neural networks. Each chapter is followed by a question bank

A New Method to Find Fuzzy Nth Order Derivation and Applications to Fuzzy Nth Order Arithmetic Based on Generalized H-Derivation

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Laleh Hooshangian

2014-07-01

Full Text Available In this paper, fuzzy nth-order derivative for n in N is introduced. To do this, nth-order derivation under generalized Hukuhara derivative here in discussed. Calculations on the fuzzy nth-order derivative on fuzzy functions and their relationships, in general, are introduced. Then, the fuzzy nth-order differential equations is solved, for n in N.

Fuzzy Multi-objective Linear Programming Approach

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Amna Rehmat

2007-07-01

Full Text Available Traveling salesman problem (TSP is one of the challenging real-life problems, attracting researchers of many fields including Artificial Intelligence, Operations Research, and Algorithm Design and Analysis. The problem has been well studied till now under different headings and has been solved with different approaches including genetic algorithms and linear programming. Conventional linear programming is designed to deal with crisp parameters, but information about real life systems is often available in the form of vague descriptions. Fuzzy methods are designed to handle vague terms, and are most suited to finding optimal solutions to problems with vague parameters. Fuzzy multi-objective linear programming, an amalgamation of fuzzy logic and multi-objective linear programming, deals with flexible aspiration levels or goals and fuzzy constraints with acceptable deviations. In this paper, a methodology, for solving a TSP with imprecise parameters, is deployed using fuzzy multi-objective linear programming. An example of TSP with multiple objectives and vague parameters is discussed.

Flows in networks under fuzzy conditions

CERN Document Server

Bozhenyuk, Alexander Vitalievich; Kacprzyk, Janusz; Rozenberg, Igor Naymovich

2017-01-01

This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the network’s transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-...

Human factors and fuzzy set theory for safety analysis

International Nuclear Information System (INIS)

Nishiwaki, Y.

1987-01-01

Human reliability and performance is affected by many factors: medical, physiological and psychological, etc. The uncertainty involved in human factors may not necessarily be probabilistic, but fuzzy. Therefore, it is important to develop a theory by which both the non-probabilistic uncertainties, or fuzziness, of human factors and the probabilistic properties of machines can be treated consistently. In reality, randomness and fuzziness are sometimes mixed. From the mathematical point of view, probabilistic measures may be considered a special case of fuzzy measures. Therefore, fuzzy set theory seems to be an effective tool for analysing man-machine systems. The concept 'failure possibility' based on fuzzy sets is suggested as an approach to safety analysis and fault diagnosis of a large complex system. Fuzzy measures and fuzzy integrals are introduced and their possible applications are also discussed. (author)

Fuzzy randomness uncertainty in civil engineering and computational mechanics

CERN Document Server

Möller, Bernd

2004-01-01

This book, for the first time, provides a coherent, overall concept for taking account of uncertainty in the analysis, the safety assessment, and the design of structures. The reader is introduced to the problem of uncertainty modeling and familiarized with particular uncertainty models. For simultaneously considering stochastic and non-stochastic uncertainty the superordinated uncertainty model fuzzy randomness, which contains real valued random variables as well as fuzzy variables as special cases, is presented. For this purpose basic mathematical knowledge concerning the fuzzy set theory and the theory of fuzzy random variables is imparted. The body of the book comprises the appropriate quantification of uncertain structural parameters, the fuzzy and fuzzy probabilistic structural analysis, the fuzzy probabilistic safety assessment, and the fuzzy cluster structural design. The completely new algorithms are described in detail and illustrated by way of demonstrative examples.

Telephone interventions for adherence to colpocytological examination.

Science.gov (United States)

Lima, Thais Marques; Nicolau, Ana Izabel Oliveira; Carvalho, Francisco Herlânio Costa; Vasconcelos, Camila Teixeira Moreira; Aquino, Priscila de Souza; Pinheiro, Ana Karina Bezerra

2017-02-06

to test the effects of behavioral and educational intervention by telephone on adherence of women with inappropriate periodicity to colpocytological examination. quasi-experimental study with a sample of 524 women, selected with the following inclusion criteria: be aged between 25 and 64 years, have initiated sexual activity, have inappropriate periodicity of examination and have mobile or landline phone. The women were divided into two groups for application of behavioral and educational intervention by telephone. It was used an intervention script according to the principles of Motivational Interviewing. on comparing the results before and after the behavioral and educational interventions, it was found that there was a statistically significant change (p = 0.0283) with increase of knowledge of women who participated in the educational intervention. There was no change in the attitude of women of any of the groups and there was an increase of adherence to colpocytological examination in both groups (p grupos para aplicação da intervenção comportamental e educativa por telefone. Utilizou-se um roteiro de intervenção segundo os preceitos da Entrevista Motivacional. ao comparar antes e depois das intervenções comportamental e educativa constatou-se que houve uma mudança estatisticamente significativa (p = 0,0283) no aumento do conhecimento das mulheres que participaram da intervenção educativa; não houve mudança comprovada na atitude das mulheres de nenhum dos grupos e houve um aumento da adesão ao exame colpocitológico nos dois grupos (p grupo comportamental (66,8%). as intervenções comportamentais e educativas por telefone foram eficazes na adesão das mulheres ao exame colpocitológico, representando estratégias importantes para educação permanente em saúde, promovendo a atenção para a prevenção do câncer cérvico-uterino. comprobar los efectos de intervención comportamental y educativa por teléfono en la adhesión de las mujeres, con

Possible use of fuzzy logic in database

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Vaclav Bezdek

2011-04-01

Full Text Available The article deals with fuzzy logic and its possible use in database systems. At first fuzzy thinking style is shown on a simple example. Next the advantages of the fuzzy approach to database searching are considered on the database of used cars in the Czech Republic.

Optimal solution of full fuzzy transportation problems using total integral ranking

Science.gov (United States)

Sam’an, M.; Farikhin; Hariyanto, S.; Surarso, B.

2018-03-01

Full fuzzy transportation problem (FFTP) is a transportation problem where transport costs, demand, supply and decision variables are expressed in form of fuzzy numbers. To solve fuzzy transportation problem, fuzzy number parameter must be converted to a crisp number called defuzzyfication method. In this new total integral ranking method with fuzzy numbers from conversion of trapezoidal fuzzy numbers to hexagonal fuzzy numbers obtained result of consistency defuzzyfication on symmetrical fuzzy hexagonal and non symmetrical type 2 numbers with fuzzy triangular numbers. To calculate of optimum solution FTP used fuzzy transportation algorithm with least cost method. From this optimum solution, it is found that use of fuzzy number form total integral ranking with index of optimism gives different optimum value. In addition, total integral ranking value using hexagonal fuzzy numbers has an optimal value better than the total integral ranking value using trapezoidal fuzzy numbers.

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.

A study of fuzzy control in nuclear scale system

International Nuclear Information System (INIS)

Wang Yu; Zhang Yongming; Wu Ruisheng; Du Xianbin; Liu Shixing

2001-01-01

The new development of the nuclear scale system which uses fuzzy control strategy is presented. Good results have been obtained in using fuzzy control to solve the problems, such as un-linearities, instabilities, time delays, which are difficultly described by formula, etc. The fuzzy variance, membership function and fuzzy rules are given, and the noise disturbances of fuzzy control and PID control are also given

New approach to solve symmetric fully fuzzy linear systems

Indian Academy of Sciences (India)

concepts of fuzzy set theory and then define a fully fuzzy linear system of equations. .... To represent the above problem as fully fuzzy linear system, we represent x .... Fully fuzzy linear systems can be solved by Linear programming approach, ...

Hesitant fuzzy methods for multiple criteria decision analysis

CERN Document Server

Zhang, Xiaolu

2017-01-01

The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book ...

A revisit to quadratic programming with fuzzy parameters

International Nuclear Information System (INIS)

Liu, S.-T.

2009-01-01

Quadratic programming has been widely applied to solving real-world problems. Recently, Liu describes a solution method for solving a class of fuzzy quadratic programming problems, where the cost coefficients of the linear terms in objective function, constraint coefficients, and right-hand sides are fuzzy numbers [Liu ST. Quadratic programming with fuzzy parameters: a membership function approach. Chaos, Solitons and Fractals 2009;40:237-45]. In this paper, we generalize Liu's method to a more general fuzzy quadratic programming problem, where the cost coefficients in objective function, constraint coefficients, and right-hand sides are all fuzzy numbers. A pair of two-level mathematical programs is formulated to calculate the upper bound and lower bound of the objective values of the fuzzy quadratic program. Based on the duality theorem and by applying the variable transformation technique, the pair of two-level mathematical programs is transformed into a family of conventional one-level quadratic programs. Solving the pair of quadratic programs produces the fuzzy objective values of the problem. With the ability of calculating the fuzzy objective value developed in this paper, it might help initiate wider applications.

On the intuitionistic fuzzy inner product spaces

International Nuclear Information System (INIS)

Goudarzi, M.; Vaezpour, S.M.; Saadati, R.

2009-01-01

In this paper, the definition of intuitionistic fuzzy inner product is given. By virtue of this definition, some convergence theorems, Schwarts inequality and the orthogonal concept for intuitionistic fuzzy inner product spaces are established and introduced. Moreover the relationship between this kind of spaces and intuitionistic fuzzy normed spaces is considered.

Construction of fuzzy spaces and their applications to matrix models

Science.gov (United States)

Abe, Yasuhiro

Quantization of spacetime by means of finite dimensional matrices is the basic idea of fuzzy spaces. There remains an issue of quantizing time, however, the idea is simple and it provides an interesting interplay of various ideas in mathematics and physics. Shedding some light on such an interplay is the main theme of this dissertation. The dissertation roughly separates into two parts. In the first part, we consider rather mathematical aspects of fuzzy spaces, namely, their construction. We begin with a review of construction of fuzzy complex projective spaces CP k (k = 1, 2, · · ·) in relation to geometric quantization. This construction facilitates defining symbols and star products on fuzzy CPk. Algebraic construction of fuzzy CPk is also discussed. We then present construction of fuzzy S 4, utilizing the fact that CP3 is an S2 bundle over S4. Fuzzy S4 is obtained by imposing an additional algebraic constraint on fuzzy CP3. Consequently it is proposed that coordinates on fuzzy S4 are described by certain block-diagonal matrices. It is also found that fuzzy S8 can analogously be constructed. In the second part of this dissertation, we consider applications of fuzzy spaces to physics. We first consider theories of gravity on fuzzy spaces, anticipating that they may offer a novel way of regularizing spacetime dynamics. We obtain actions for gravity on fuzzy S2 and on fuzzy CP3 in terms of finite dimensional matrices. Application to M(atrix) theory is also discussed. With an introduction of extra potentials to the theory, we show that it also has new brane solutions whose transverse directions are described by fuzzy S 4 and fuzzy CP3. The extra potentials can be considered as fuzzy versions of differential forms or fluxes, which enable us to discuss compactification models of M(atrix) theory. In particular, compactification down to fuzzy S4 is discussed and a realistic matrix model of M-theory in four-dimensions is proposed.

Fuzzy logic control of nuclear power plant

International Nuclear Information System (INIS)

Yao Liangzhong; Guo Renjun; Ma Changwen

1996-01-01

The main advantage of the fuzzy logic control is that the method does not require a detailed mathematical model of the object to be controlled. In this paper, the shortcomings and limitations of the model-based method in nuclear power plant control were presented, the theory of the fuzzy logic control was briefly introduced, and the applications of the fuzzy logic control technology in nuclear power plant controls were surveyed. Finally, the problems to be solved by using the fuzzy logic control in nuclear power plants were discussed

Neuro-fuzzy modelling of hydro unit efficiency

International Nuclear Information System (INIS)

Iliev, Atanas; Fushtikj, Vangel

2003-01-01

This paper presents neuro-fuzzy method for modeling of the hydro unit efficiency. The proposed method uses the characteristics of the fuzzy systems as universal function approximates, as well the abilities of the neural networks to adopt the parameters of the membership's functions and rules in the consequent part of the developed fuzzy system. Developed method is practically applied for modeling of the efficiency of unit which will be installed in the hydro power plant Kozjak. Comparison of the performance of the derived neuro-fuzzy method with several classical polynomials models is also performed. (Author)

Development of a new fuzzy exposure model

International Nuclear Information System (INIS)

Vasconcelos, Wagner Eustaquio de; Lira, Carlos Alberto Brayner de Oliveira; Texeira, Marcello Goulart

2007-01-01

The main topic of this study is the development of an exposure fuzzy model to evaluate the exposure of inhabitants in an area containing uranium, which present a high natural background. In this work, a fuzzy model was created, based on some of the following main factors: activity concentration of uranium, physiological factors and characteristic customs of the exposed individuals. An inference block was created to evaluate some factors of radiation exposure. For this, AHP-fuzzy technique (Analytic Hierarchic Process) was used and its application was demonstrated for a subjected population to the radiation of the natural uranium. The Mandami type fuzzy model was also created from the opinion of specialists. The Monte Carlo method was used to generate a statistics of input data and the daily average exposure served as comparison parameter between the three techniques. The output fuzzy sets were expressed in form of linguistic variables, such as high, medium and low. In the qualitative analysis, the obtained results were satisfactory when translating the opinion of the specialists. In the quantitative analysis, the obtained values are part of the same fuzzy set as the values found in literature. The global results suggest that this type of fuzzy model is highly promising for analysis of exposure to ionizing radiation. (author)

Development of a new fuzzy exposure model

Energy Technology Data Exchange (ETDEWEB)

Vasconcelos, Wagner Eustaquio de; Lira, Carlos Alberto Brayner de Oliveira [Universidade Federal de Pernambuco (UFPE), Recife, PE (Brazil). Dept. de Energia Nuclear. Grupo de Engenharia de Reatores], E-mail: wagner@ufpe.br, E-mail: cabol@ufpe.br; Texeira, Marcello Goulart [Instituto Militar de Engenharia (IME), Rio de Janeiro, RJ (Brazil). Terrestrial Modelling Group], E-mail: marcellogt@ime.eb.br

2007-07-01

The main topic of this study is the development of an exposure fuzzy model to evaluate the exposure of inhabitants in an area containing uranium, which present a high natural background. In this work, a fuzzy model was created, based on some of the following main factors: activity concentration of uranium, physiological factors and characteristic customs of the exposed individuals. An inference block was created to evaluate some factors of radiation exposure. For this, AHP-fuzzy technique (Analytic Hierarchic Process) was used and its application was demonstrated for a subjected population to the radiation of the natural uranium. The Mandami type fuzzy model was also created from the opinion of specialists. The Monte Carlo method was used to generate a statistics of input data and the daily average exposure served as comparison parameter between the three techniques. The output fuzzy sets were expressed in form of linguistic variables, such as high, medium and low. In the qualitative analysis, the obtained results were satisfactory when translating the opinion of the specialists. In the quantitative analysis, the obtained values are part of the same fuzzy set as the values found in literature. The global results suggest that this type of fuzzy model is highly promising for analysis of exposure to ionizing radiation. (author)

Automatic approach to deriving fuzzy slope positions

Science.gov (United States)

Zhu, Liang-Jun; Zhu, A.-Xing; Qin, Cheng-Zhi; Liu, Jun-Zhi

2018-03-01

Fuzzy characterization of slope positions is important for geographic modeling. Most of the existing fuzzy classification-based methods for fuzzy characterization require extensive user intervention in data preparation and parameter setting, which is tedious and time-consuming. This paper presents an automatic approach to overcoming these limitations in the prototype-based inference method for deriving fuzzy membership value (or similarity) to slope positions. The key contribution is a procedure for finding the typical locations and setting the fuzzy inference parameters for each slope position type. Instead of being determined totally by users in the prototype-based inference method, in the proposed approach the typical locations and fuzzy inference parameters for each slope position type are automatically determined by a rule set based on prior domain knowledge and the frequency distributions of topographic attributes. Furthermore, the preparation of topographic attributes (e.g., slope gradient, curvature, and relative position index) is automated, so the proposed automatic approach has only one necessary input, i.e., the gridded digital elevation model of the study area. All compute-intensive algorithms in the proposed approach were speeded up by parallel computing. Two study cases were provided to demonstrate that this approach can properly, conveniently and quickly derive the fuzzy slope positions.

Fuzzy improvement of the SQL

Directory of Open Access Journals (Sweden)

Hudec Miroslav

2011-01-01

Full Text Available Structured Query Language (SQL is used to obtain data from relational databases. Fuzzy improvement of SQL queries has advantages in cases when the user cannot unambiguously define selection criteria or when the user wants to examine data that almost meet the given criteria. In this paper we examine a realization of the fuzzy querying concept. For this purposes the fuzzy generalized logical condition for the WHERE part of the SQL is created. It allows users to create queries by linguistic terms. The proposed model is an extension of the SQL so that no modification inside databases has to be undertaken.

Fuzzy resource optimization for safeguards

International Nuclear Information System (INIS)

Zardecki, A.; Markin, J.T.

1991-01-01

Authorization, enforcement, and verification -- three key functions of safeguards systems -- form the basis of a hierarchical description of the system risk. When formulated in terms of linguistic rather than numeric attributes, the risk can be computed through an algorithm based on the notion of fuzzy sets. Similarly, this formulation allows one to analyze the optimal resource allocation by maximizing the overall detection probability, regarded as a linguistic variable. After summarizing the necessary elements of the fuzzy sets theory, we outline the basic algorithm. This is followed by a sample computation of the fuzzy optimization. 10 refs., 1 tab

A New Fuzzy Harmony Search Algorithm Using Fuzzy Logic for Dynamic Parameter Adaptation

Directory of Open Access Journals (Sweden)

Cinthia Peraza

2016-10-01

Full Text Available In this paper, a new fuzzy harmony search algorithm (FHS for solving optimization problems is presented. FHS is based on a recent method using fuzzy logic for dynamic adaptation of the harmony memory accepting (HMR and pitch adjustment (PArate parameters that improve the convergence rate of traditional harmony search algorithm (HS. The objective of the method is to dynamically adjust the parameters in the range from 0.7 to 1. The impact of using fixed parameters in the harmony search algorithm is discussed and a strategy for efficiently tuning these parameters using fuzzy logic is presented. The FHS algorithm was successfully applied to different benchmarking optimization problems. The results of simulation and comparison studies demonstrate the effectiveness and efficiency of the proposed approach.

Avaliação comportamental do processamento auditivo pré e pós treinamento auditivo formal em indivíduos após traumatismo cranioencefálico

OpenAIRE

Marangoni,Andréa Tortosa; Gil,Daniela

2014-01-01

Objetivo : Verificar os efeitos do treinamento auditivo formal em indivíduos após traumatismo cranioencefálico, utilizando testes comportamentais. Métodos : Nove indivíduos audiologicamente normais, que haviam sofrido traumatismo cranioencefálico grave, com lesão axional difusa, com ou sem lesão focal associada, foram submetidos à avaliação comportamental do processamento auditivo pré e pós treinamento auditivo formal em cabin...

Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

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Vasile MAZILESCU

2010-12-01

Full Text Available A reduction of the algorithmic complexity of the fuzzy inference engine has the following property: the inputs (the fuzzy rules and the fuzzy facts can be divided in two parts, one being relatively constant for a long a time (the fuzzy rule or the knowledge model when it is compared to the second part (the fuzzy facts for every inference cycle. The occurrence of certain transformations over the constant part makes sense, in order to decrease the solution procurement time, in the case that the second part varies, but it is known at certain moments in time. The transformations attained in advance are called pre-processing or knowledge compilation. The use of variables in a Business Rule Management System knowledge representation allows factorising knowledge, like in classical knowledge based systems. The language of the first-degree predicates facilitates the formulation of complex knowledge in a rigorous way, imposing appropriate reasoning techniques. It is, thus, necessary to define the description method of fuzzy knowledge, to justify the knowledge exploiting efficiency when the compiling technique is used, to present the inference engine and highlight the functional features of the pattern matching and the state space processes. This paper presents the main results of our project PR356 for designing a compiler for fuzzy knowledge, like Rete compiler, that comprises two main components: a static fuzzy discrimination structure (Fuzzy Unification Tree and the Fuzzy Variables Linking Network. There are also presented the features of the elementary pattern matching process that is based on the compiled structure of fuzzy knowledge. We developed fuzzy discrimination algorithms for Distributed Knowledge Management Systems (DKMSs. The implementations have been elaborated in a prototype system FRCOM (Fuzzy Rule COMpiler.

Expert system driven fuzzy control application to power reactors

International Nuclear Information System (INIS)

Tsoukalas, L.H.; Berkan, R.C.; Upadhyaya, B.R.; Uhrig, R.E.

1990-01-01

For the purpose of nonlinear control and uncertainty/imprecision handling, fuzzy controllers have recently reached acclaim and increasing commercial application. The fuzzy control algorithms often require a ''supervisory'' routine that provides necessary heuristics for interface, adaptation, mode selection and other implementation issues. Performance characteristics of an on-line fuzzy controller depend strictly on the ability of such supervisory routines to manipulate the fuzzy control algorithm and enhance its control capabilities. This paper describes an expert system driven fuzzy control design application to nuclear reactor control, for the automated start-up control of the Experimental Breeder Reactor-II. The methodology is verified through computer simulations using a valid nonlinear model. The necessary heuristic decisions are identified that are vitally important for the implemention of fuzzy control in the actual plant. An expert system structure incorporating the necessary supervisory routines is discussed. The discussion also includes the possibility of synthesizing the fuzzy, exact and combined reasoning to include both inexact concepts, uncertainty and fuzziness, within the same environment

A Hybrid Fuzzy Time Series Approach Based on Fuzzy Clustering and Artificial Neural Network with Single Multiplicative Neuron Model

Directory of Open Access Journals (Sweden)

Ozge Cagcag Yolcu

2013-01-01

Full Text Available Particularly in recent years, artificial intelligence optimization techniques have been used to make fuzzy time series approaches more systematic and improve forecasting performance. Besides, some fuzzy clustering methods and artificial neural networks with different structures are used in the fuzzification of observations and determination of fuzzy relationships, respectively. In approaches considering the membership values, the membership values are determined subjectively or fuzzy outputs of the system are obtained by considering that there is a relation between membership values in identification of relation. This necessitates defuzzification step and increases the model error. In this study, membership values were obtained more systematically by using Gustafson-Kessel fuzzy clustering technique. The use of artificial neural network with single multiplicative neuron model in identification of fuzzy relation eliminated the architecture selection problem as well as the necessity for defuzzification step by constituting target values from real observations of time series. The training of artificial neural network with single multiplicative neuron model which is used for identification of fuzzy relation step is carried out with particle swarm optimization. The proposed method is implemented using various time series and the results are compared with those of previous studies to demonstrate the performance of the proposed method.

Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

Science.gov (United States)

Chaves, Luciano Eustáquio; Nascimento, Luiz Fernando Costa; Rizol, Paloma Maria Silva Rocha

2017-06-22

Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State. This is a computational model using fuzzy logic based on Mamdani's inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the linguistic approach: good and bad. For the output variable number of hospitalizations for asthma and pneumonia, we considered five relevancy functions: very low, low, medium, high and very high. DATASUS was our source for the number of hospitalizations in the year 2007 and the result provided by the model was correlated with the actual data of hospitalization with lag from zero to two days. The accuracy of the model was estimated by the ROC curve for each pollutant and in those lags. In the year of 2007, 1,710 hospitalizations by pneumonia and asthma were recorded in São José dos Campos, State of São Paulo, with a daily average of 4.9 hospitalizations (SD = 2.9). The model output data showed positive and significant correlation (r = 0.38) with the actual data; the accuracies evaluated for the model were higher for sulfur dioxide in lag 0 and 2 and for particulate matter in lag 1. Fuzzy modeling proved accurate for the pollutant exposure effects and hospitalization for pneumonia and asthma approach. Prever o número de internações por asma e pneumonia associadas à exposição a poluentes do ar no município em São José dos Campos, estado de São Paulo. Trata-se de um modelo computacional que utiliza a lógica fuzzy baseado na técnica de inferência de Mamdani. Para a fuzzificação das variáveis de entrada material particulado, ozônio, dióxido de enxofre e temperatura aparente foram consideradas duas funções de pertinência para cada variável com abordagem linguísticas: bom e ruim. Para a variável de saída número interna

Fuzzy controllers in nuclear material accounting

International Nuclear Information System (INIS)

Zardecki, A.

1994-01-01

Fuzzy controllers are applied to predicting and modeling a time series, with particular emphasis on anomaly detection in nuclear material inventory differences. As compared to neural networks, the fuzzy controllers can operate in real time; their learning process does not require many iterations to converge. For this reason fuzzy controllers are potentially useful in time series forecasting, where the authors want to detect and identify trends in real time. They describe an object-oriented implementation of the algorithm advanced by Wang and Mendel. Numerical results are presented both for inventory data and time series corresponding to chaotic situations, such as encountered in the context of strange attractors. In the latter case, the effects of noise on the predictive power of the fuzzy controller are explored

The fuzzy bag model revisited

International Nuclear Information System (INIS)

Pilotto, F.; Vasconcellos, C.A.Z.; Coelho, H.T.

2001-01-01

In this work we develop a new version of the fuzzy bag model. Th main ideas is to include the conservation of energy and momentum in the model. This feature is not included in the original formulation of the fuzzy bag model, but is of paramount importance to interpret the model as being a bag model - that, is a model in which the outward pressure of the quarks inside the bag is balanced by the inward pressure of the non-perturbative vacuum outside the bag - as opposed to a relativistic potential model, in which there is no energy-momentum conservation. In the MT bag model, as well as in the original version of the fuzzy bag model, the non-perturbative QCD vacuum is parametrized by a constant B in the Lagrangian density. One immediate consequence of including energy-momentum conservation in the fuzzy bag model is that the bag constant B will acquire a radial dependence, B = B(r). (author)

The fuzzy bag model revisited

Energy Technology Data Exchange (ETDEWEB)

Pilotto, F.; Vasconcellos, C.A.Z. [Rio Grande do Sul Univ., Porto Alegre, RS (Brazil). Inst. de Fisica; Coelho, H.T. [Pernambuco Univ., Recife, PE (Brazil). Inst. de Fisica

2001-07-01

In this work we develop a new version of the fuzzy bag model. Th main ideas is to include the conservation of energy and momentum in the model. This feature is not included in the original formulation of the fuzzy bag model, but is of paramount importance to interpret the model as being a bag model - that, is a model in which the outward pressure of the quarks inside the bag is balanced by the inward pressure of the non-perturbative vacuum outside the bag - as opposed to a relativistic potential model, in which there is no energy-momentum conservation. In the MT bag model, as well as in the original version of the fuzzy bag model, the non-perturbative QCD vacuum is parametrized by a constant B in the Lagrangian density. One immediate consequence of including energy-momentum conservation in the fuzzy bag model is that the bag constant B will acquire a radial dependence, B = B(r). (author)

Soft ideal topological space and mixed fuzzy soft ideal topological space

Directory of Open Access Journals (Sweden)

Manash Borah

2019-01-01

Full Text Available In this paper we introduce fuzzy soft ideal and mixed fuzzy soft ideal topological spaces and some properties of this space. Also we introduce fuzzy soft $I$-open set, fuzzy soft $\\alpha$-$I$-open set, fuzzy soft pre-$I$-open set, fuzzy soft semi-$I$-open set and fuzzy soft $\\beta$-$I$-open set and discuss some of their properties.

Recent advances in fuzzy preference modelling

International Nuclear Information System (INIS)

Van de Walle, B.; De Baets, B.; Kerre, E.

1996-01-01

Preference structures are well-known mathematical concepts having numerous applications in a variety of disciplines, such as economics, sociology and psychology. The generalization of preference structures to the fuzzy case has received considerable attention over the past years. Fuzzy preference structures allow a decision maker to express degrees of preference instead of the rigid classical yes-or-no preference assignment. This paper reports on the recent insights gained into the existence, construction and characterization of these fuzzy preference structures

A NEW APPROACH ON SHORTEST PATH IN FUZZY ENVIRONMENT

OpenAIRE

A. Nagoorgani; A. Mumtaj Begam

2010-01-01

This paper introduces a new type of fuzzy shortest path network problem using triangular fuzzy number. To find the smallest edge by the fuzzy distance using graded mean integration representation of generalized fuzzy number for every node. Thus the optimum shortest path for the given problem is obtained.

Implementing fuzzy polynomial interpolation (FPI and fuzzy linear regression (LFR

Directory of Open Access Journals (Sweden)

Maria Cristina Floreno

1996-05-01

Full Text Available This paper presents some preliminary results arising within a general framework concerning the development of software tools for fuzzy arithmetic. The program is in a preliminary stage. What has been already implemented consists of a set of routines for elementary operations, optimized functions evaluation, interpolation and regression. Some of these have been applied to real problems.This paper describes a prototype of a library in C++ for polynomial interpolation of fuzzifying functions, a set of routines in FORTRAN for fuzzy linear regression and a program with graphical user interface allowing the use of such routines.

Fuzzy implicative hyper BCK-ideals of hyper BCK-algebras

OpenAIRE

Jun, Young Bae; Shim, Wook Hwan

2002-01-01

We consider the fuzzification of the notion of implicative hyper BCK-ideals, and then investigate several properties. Using the concept of level subsets, we give a characterization of a fuzzy implicative hyper BCK-ideal. We state a relation between a fuzzy hyper BCK-ideal and a fuzzy implicative hyper BCK-ideal. We establish a condition for a fuzzy hyper BCK-ideal to be a fuzzy implicative hyper BCK-ideal. Finally, we introduce the notion of hyper homomorphisms of hyper ...

Ansiedade em Provas: um Estudo na Obtenção da Licença para Dirigir

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Aline Hessel de Araújo

Full Text Available Resumo Situações de avaliação geram ansiedade e dentre elas está a prova prática de direção para a obtenção da licença para dirigir, essa ansiedade pode perturbar o desempenho e impedir a obtenção da habilitação. O presente estudo visou analisar: (a a fundamentação teórica que embasa a intervenção terapêutica em casos de ansiedade em avaliações e provas; e (b o processo terapêutico de uma cliente que procurou terapia comportamental após tentativas fracassadas na obtenção da licença para dirigir. A relevância da análise funcional da ansiedade e dos repertórios de enfrentamento da ansiedade foi considerada. Em seguida, um estudo de caso foi relatado: uma paciente com um histórico de seis reprovações no teste prático para a obtenção da licença para dirigir e níveis altos de ansiedade. Esse estudo demonstrou que um preparo apropriado e a intervenção terapêutica contribuíram para reduzir a ansiedade e promover a condição necessária para a obtenção da licença para dirigir. Estudos adicionais deverão ser realizados de modo a se obter uma melhor compreensão da relação entre a ansiedade e o desempenho, especialmente no que diz respeito ao processo de obtenção de uma licença para dirigir.

FUZZY-GENETIC CONTROL OF QUADROTOR UNMANNED AERIAL VEHICLES

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Attila Nemes

2016-03-01

Full Text Available This article presents a novel fuzzy identification method for dynamic modelling of quadrotor unmanned aerial vehicles. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for antecedents. This antecedent parameter representation method of fuzzy rules ensures upholding of predefined linguistic value ordering and ensures that fuzzy-partitions remain intact throughout an unconstrained hybrid evolutionary and gradient descent based optimization process. In the equations of motion the first order derivative component is calculated based on Christoffel symbols, the derivatives of fuzzy systems are used for modelling the Coriolis effects, gyroscopic and centrifugal terms. The non-linear parameters are subjected to an initial global evolutionary optimization scheme and fine tuning with gradient descent based local search. Simulation results of the proposed new quadrotor dynamic model identification method are promising.

Petr Hájek on mathematical fuzzy logic

CERN Document Server

Montagna, Franco

2014-01-01

This volume celebrates the work of Petr Hájek on mathematical fuzzy logic and presents how his efforts have influenced prominent logicians who are continuing his work. The book opens with a discussion on Hájek's contribution to mathematical fuzzy logic and with a scientific biography of him, progresses to include two articles with a foundation flavour, that demonstrate some important aspects of Hájek's production, namely, a paper on the development of fuzzy sets and another paper on some fuzzy versions of set theory and arithmetic. Articles in the volume also focus on the treatment of vague

Fuzzy sets, rough sets, multisets and clustering

CERN Document Server

Dahlbom, Anders; Narukawa, Yasuo

2017-01-01

This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the areas in which he contributed. Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making. The book is divided in four parts, the first of which focuses on clustering and classification. The second part puts the spotlight on multisets, bags, fuzzy bags and other fuzzy extensions, while the third deals with rough sets. Rounding out the coverage, the last part explores fuzzy sets and decision-making.

Fuzzy logic control for camera tracking system

Science.gov (United States)

Lea, Robert N.; Fritz, R. H.; Giarratano, J.; Jani, Yashvant

1992-01-01

A concept utilizing fuzzy theory has been developed for a camera tracking system to provide support for proximity operations and traffic management around the Space Station Freedom. Fuzzy sets and fuzzy logic based reasoning are used in a control system which utilizes images from a camera and generates required pan and tilt commands to track and maintain a moving target in the camera's field of view. This control system can be implemented on a fuzzy chip to provide an intelligent sensor for autonomous operations. Capabilities of the control system can be expanded to include approach, handover to other sensors, caution and warning messages.

Fuzzy set classifier for waste classification tracking

International Nuclear Information System (INIS)

Gavel, D.T.

1992-01-01

We have developed an expert system based on fuzzy logic theory to fuse the data from multiple sensors and make classification decisions for objects in a waste reprocessing stream. Fuzzy set theory has been applied in decision and control applications with some success, particularly by the Japanese. We have found that the fuzzy logic system is rather easy to design and train, a feature that can cut development costs considerably. With proper training, the classification accuracy is quite high. We performed several tests sorting radioactive test samples using a gamma spectrometer to compare fuzzy logic to more conventional sorting schemes

Application of fuzzy logic control in industry

International Nuclear Information System (INIS)

Van der Wal, A.J.

1994-01-01

An overview is given of the various ways fuzzy logic can be used to improve industrial control. The application of fuzzy logic in control is illustrated by two case studies. The first example shows how fuzzy logic, incorporated in the hardware of an industrial controller, helps to finetune a PID controller, without the operator having any a priori knowledge of the system to be controlled. The second example is from process industry. Here, fuzzy logic supervisory control is implemented in software and enhances the operation of a sintering oven through a subtle combination of priority management and deviation-controlled timing

On Bipolar Valued Fuzzy k-Ideals in Hermirings

International Nuclear Information System (INIS)

Mahmood, T.; Ejaz, A.

2015-01-01

In this paper we discuss some results associated with bipolar valued fuzzy k -ideals of hermirings. We also define bipolar valued fuzzy k-intrinsic product and characterize k-hemiregular hermirings by using their bipolar valued fuzzy k -ideals. (author)

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.

Una metodología basada en números difusos para la evaluación de criterios evaluables mediante un juicio de valor =A methodology based on fuzzy numbers for the evaluation of evaluable criteria through a value judgment

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José Luis Fuentes Bargues

2017-08-01

Full Text Available La adjudicación de un contrato por parte de una administración pública depende de criterios de adjudicación evaluables mediante fórmulas y de criterios evaluables mediante juicios de valor. Los primeros disponen de fórmulas definidas mientras que los segundos siempre tienen un sesgo subjetivo porque dependen del técnico que realiza la valoración. Con objeto de minimizar las consecuencias de las arbitrariedades o incertidumbres en la evaluación de los criterios evaluables mediante un juicio de valor se puede recurrir a la lógica difusa. La lógica difusa, borrosa o fuzzy es el razonamiento matemático que permite calcular de forma exacta las magnitudes correspondientes a conceptos vagos o situaciones poco previsibles para poder tener control sobre ellas. El objetivo del presente trabajo es desarrollar una metodología que permita a los órganos de contratación la evaluación de los criterios evaluables mediante un juicio de valor mediante la utilización de la lógica difusa. Abstract The award of a contract by a public administration depends on criteria assessed by formulae and criteria assessed by value judgements. For the former, various predetermined formulae can be employed while for the criteria assessed by value judgements will always contain some subjective bias by the individual who performs the evaluation. In order to minimize the consequences of the arbitrariness or uncertainties in the evaluation of criteria assessed by value judgments is possible to use the fuzzy logic. Diffuse, fuzzy or fuzzy logic is the mathematical reasoning that allows to calculate accurately the magnitudes corresponding to vague concepts or situations that are not very predictable to have control over them. The objective of this paper is to show a methodology which permits to the contracting authority to evaluate the criteria assessed by value judgments through fuzzy numbers.

Fuzzy modeling and control theory and applications

CERN Document Server

Matía, Fernando; Jiménez, Emilio

2014-01-01

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

A fuzzy logic based PROMETHEE method for material selection problems

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Muhammet Gul

2018-03-01

Full Text Available Material selection is a complex problem in the design and development of products for diverse engineering applications. This paper presents a fuzzy PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation method based on trapezoidal fuzzy interval numbers that can be applied to the selection of materials for an automotive instrument panel. Also, it presents uniqueness in making a significant contribution to the literature in terms of the application of fuzzy decision-making approach to material selection problems. The method is illustrated, validated, and compared against three different fuzzy MCDM methods (fuzzy VIKOR, fuzzy TOPSIS, and fuzzy ELECTRE in terms of its ranking performance. Also, the relationships between the compared methods and the proposed scenarios for fuzzy PROMETHEE are evaluated via the Spearman’s correlation coefficient. Styrene Maleic Anhydride and Polypropylene are determined optionally as suitable materials for the automotive instrument panel case. We propose a generic fuzzy MCDM methodology that can be practically implemented to material selection problem. The main advantages of the methodology are consideration of the vagueness, uncertainty, and fuzziness to decision making environment.

A fuzzy chance-constrained programming model with type 1 and type 2 fuzzy sets for solid waste management under uncertainty

Science.gov (United States)

Ma, Xiaolin; Ma, Chi; Wan, Zhifang; Wang, Kewei

2017-06-01

Effective management of municipal solid waste (MSW) is critical for urban planning and development. This study aims to develop an integrated type 1 and type 2 fuzzy sets chance-constrained programming (ITFCCP) model for tackling regional MSW management problem under a fuzzy environment, where waste generation amounts are supposed to be type 2 fuzzy variables and treated capacities of facilities are assumed to be type 1 fuzzy variables. The evaluation and expression of uncertainty overcome the drawbacks in describing fuzzy possibility distributions as oversimplified forms. The fuzzy constraints are converted to their crisp equivalents through chance-constrained programming under the same or different confidence levels. Regional waste management of the City of Dalian, China, was used as a case study for demonstration. The solutions under various confidence levels reflect the trade-off between system economy and reliability. It is concluded that the ITFCCP model is capable of helping decision makers to generate reasonable waste-allocation alternatives under uncertainties.

Fuzzy interval Finite Element/Statistical Energy Analysis for mid-frequency analysis of built-up systems with mixed fuzzy and interval parameters

Science.gov (United States)

Yin, Hui; Yu, Dejie; Yin, Shengwen; Xia, Baizhan

2016-10-01

This paper introduces mixed fuzzy and interval parametric uncertainties into the FE components of the hybrid Finite Element/Statistical Energy Analysis (FE/SEA) model for mid-frequency analysis of built-up systems, thus an uncertain ensemble combining non-parametric with mixed fuzzy and interval parametric uncertainties comes into being. A fuzzy interval Finite Element/Statistical Energy Analysis (FIFE/SEA) framework is proposed to obtain the uncertain responses of built-up systems, which are described as intervals with fuzzy bounds, termed as fuzzy-bounded intervals (FBIs) in this paper. Based on the level-cut technique, a first-order fuzzy interval perturbation FE/SEA (FFIPFE/SEA) and a second-order fuzzy interval perturbation FE/SEA method (SFIPFE/SEA) are developed to handle the mixed parametric uncertainties efficiently. FFIPFE/SEA approximates the response functions by the first-order Taylor series, while SFIPFE/SEA improves the accuracy by considering the second-order items of Taylor series, in which all the mixed second-order items are neglected. To further improve the accuracy, a Chebyshev fuzzy interval method (CFIM) is proposed, in which the Chebyshev polynomials is used to approximate the response functions. The FBIs are eventually reconstructed by assembling the extrema solutions at all cut levels. Numerical results on two built-up systems verify the effectiveness of the proposed methods.

Choquet Integral of Fuzzy-Number-Valued Functions: The Differentiability of the Primitive with respect to Fuzzy Measures and Choquet Integral Equations

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Zengtai Gong

2014-01-01

Full Text Available This paper deals with the Choquet integral of fuzzy-number-valued functions based on the nonnegative real line. We firstly give the definitions and the characterizations of the Choquet integrals of interval-valued functions and fuzzy-number-valued functions based on the nonadditive measure. Furthermore, the operational schemes of above several classes of integrals on a discrete set are investigated which enable us to calculate Choquet integrals in some applications. Secondly, we give a representation of the Choquet integral of a nonnegative, continuous, and increasing fuzzy-number-valued function with respect to a fuzzy measure. In addition, in order to solve Choquet integral equations of fuzzy-number-valued functions, a concept of the Laplace transformation for the fuzzy-number-valued functions in the sense of Choquet integral is introduced. For distorted Lebesgue measures, it is shown that Choquet integral equations of fuzzy-number-valued functions can be solved by the Laplace transformation. Finally, an example is given to illustrate the main results at the end of the paper.

S-fuzzy Version of Stone's Theorem for Distributive Lattices

Institute of Scientific and Technical Information of China (English)

Y. S.Pawar; S. S.Khopade

2011-01-01

In this paper,we initiate a study of S-fuzzy ideal (filter) of a lattice where S stands for a meet semilattice.A S fuzzy prime ideal (filter) of a lattice is defined and it is proved that a S-fuzzy ideal (filter) of a lattice is S-fuzzy prime ideal (filter) if and only if any non-empty a-cut of it is a prime ideal (filter).Stone's theorem for a distributive lattice is extended by considering S-fuzzy ideals (filters).

Abrasive slurry jet cutting model based on fuzzy relations

Science.gov (United States)

Qiang, C. H.; Guo, C. W.

2017-12-01

The cutting process of pre-mixed abrasive slurry or suspension jet (ASJ) is a complex process affected by many factors, and there is a highly nonlinear relationship between the cutting parameters and cutting quality. In this paper, guided by fuzzy theory, the fuzzy cutting model of ASJ was developed. In the modeling of surface roughness, the upper surface roughness prediction model and the lower surface roughness prediction model were established respectively. The adaptive fuzzy inference system combines the learning mechanism of neural networks and the linguistic reasoning ability of the fuzzy system, membership functions, and fuzzy rules are obtained by adaptive adjustment. Therefore, the modeling process is fast and effective. In this paper, the ANFIS module of MATLAB fuzzy logic toolbox was used to establish the fuzzy cutting model of ASJ, which is found to be quite instrumental to ASJ cutting applications.

Transportation optimization with fuzzy trapezoidal numbers based on possibility theory.

Science.gov (United States)

He, Dayi; Li, Ran; Huang, Qi; Lei, Ping

2014-01-01

In this paper, a parametric method is introduced to solve fuzzy transportation problem. Considering that parameters of transportation problem have uncertainties, this paper develops a generalized fuzzy transportation problem with fuzzy supply, demand and cost. For simplicity, these parameters are assumed to be fuzzy trapezoidal numbers. Based on possibility theory and consistent with decision-makers' subjectiveness and practical requirements, the fuzzy transportation problem is transformed to a crisp linear transportation problem by defuzzifying fuzzy constraints and objectives with application of fractile and modality approach. Finally, a numerical example is provided to exemplify the application of fuzzy transportation programming and to verify the validity of the proposed methods.

Fuzzy logic applications in engineering science

CERN Document Server

Harris, J

2006-01-01

Fuzzy logic is a relatively new concept in science applications. Hitherto, fuzzy logic has been a conceptual process applied in the field of risk management. Its potential applicability is much wider than that, however, and its particular suitability for expanding our understanding of processes and information in science and engineering in our post-modern world is only just beginning to be appreciated. Written as a companion text to the author's earlier volume "An Introduction to Fuzzy Logic Applications", the book is aimed at professional engineers and students and those with an interest in exploring the potential of fuzzy logic as an information processing kit with a wide variety of practical applications in the field of engineering science and develops themes and topics introduced in the author's earlier text.

Solving Fully Fuzzy Linear System of Equations in General Form

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A. Yousefzadeh

2012-06-01

Full Text Available In this work, we propose an approach for computing the positive solution of a fully fuzzy linear system where the coefficient matrix is a fuzzy $nimes n$ matrix. To do this, we use arithmetic operations on fuzzy numbers that introduced by Kaffman in and convert the fully fuzzy linear system into two $nimes n$ and $2nimes 2n$ crisp linear systems. If the solutions of these linear systems don't satisfy in positive fuzzy solution condition, we introduce the constrained least squares problem to obtain optimal fuzzy vector solution by applying the ranking function in given fully fuzzy linear system. Using our proposed method, the fully fuzzy linear system of equations always has a solution. Finally, we illustrate the efficiency of proposed method by solving some numerical examples.

INTERVAL-VALUED INTUITIONISTIC FUZZY BI-IDEALS IN TERNARY SEMIRINGS

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D. KRISHNASWAMY

2016-04-01

Full Text Available In this paper we introduce the notions of interval-valued fuzzy bi-ideal, interval-valued anti fuzzy bi-ideal and interval-valued intuitionistic fuzzy bi-ideal in ternary semirings and some of the basic properties of these ideals are investigated. We also introduce normal interval-valued intuitionistic fuzzy ideals in ternary semirings.

Fuzzy model-based control of a nuclear reactor

International Nuclear Information System (INIS)

Van Den Durpel, L.; Ruan, D.

1994-01-01

The fuzzy model-based control of a nuclear power reactor is an emerging research topic world-wide. SCK-CEN is dealing with this research in a preliminary stage, including two aspects, namely fuzzy control and fuzzy modelling. The aim is to combine both methodologies in contrast to conventional model-based PID control techniques, and to state advantages of including fuzzy parameters as safety and operator feedback. This paper summarizes the general scheme of this new research project

Fuzzy One-Class Classification Model Using Contamination Neighborhoods

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Lev V. Utkin

2012-01-01

Full Text Available A fuzzy classification model is studied in the paper. It is based on the contaminated (robust model which produces fuzzy expected risk measures characterizing classification errors. Optimal classification parameters of the models are derived by minimizing the fuzzy expected risk. It is shown that an algorithm for computing the classification parameters is reduced to a set of standard support vector machine tasks with weighted data points. Experimental results with synthetic data illustrate the proposed fuzzy model.

New similarity of triangular fuzzy number and its application.

Science.gov (United States)

Zhang, Xixiang; Ma, Weimin; Chen, Liping

2014-01-01

The similarity of triangular fuzzy numbers is an important metric for application of it. There exist several approaches to measure similarity of triangular fuzzy numbers. However, some of them are opt to be large. To make the similarity well distributed, a new method SIAM (Shape's Indifferent Area and Midpoint) to measure triangular fuzzy number is put forward, which takes the shape's indifferent area and midpoint of two triangular fuzzy numbers into consideration. Comparison with other similarity measurements shows the effectiveness of the proposed method. Then, it is applied to collaborative filtering recommendation to measure users' similarity. A collaborative filtering case is used to illustrate users' similarity based on cloud model and triangular fuzzy number; the result indicates that users' similarity based on triangular fuzzy number can obtain better discrimination. Finally, a simulated collaborative filtering recommendation system is developed which uses cloud model and triangular fuzzy number to express users' comprehensive evaluation on items, and result shows that the accuracy of collaborative filtering recommendation based on triangular fuzzy number is higher.

Control de un sistema eólico-fotovoltaico utilizando un controlador fuzzy; Control of a wind-photovoltaic system using a controller fuzzy

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Alfredo G M Gámez López

2011-02-01

Full Text Available En este artículo, se prueba de manera virtual, un controlador basado en lógica difusa para un sistema híbrido degeneración de energía. La simulación digital emplea como herramienta el Labview, obteniéndose resultadosgráficos descriptivos de la acción del controlador, así como la interfaz gráfica representativa del comportamientodel sistema. In this article is tested a virtual controller using fuzzy logic for a hybrid system of power generation.LABVIEW is used as a digital simulation tool obtaining descriptive graphical results of the action of the driveras well as a graphical interface of the behavior of the system.

Fuzzy logic of Aristotelian forms

Energy Technology Data Exchange (ETDEWEB)

Perlovsky, L.I. [Nichols Research Corp., Lexington, MA (United States)

1996-12-31

Model-based approaches to pattern recognition and machine vision have been proposed to overcome the exorbitant training requirements of earlier computational paradigms. However, uncertainties in data were found to lead to a combinatorial explosion of the computational complexity. This issue is related here to the roles of a priori knowledge vs. adaptive learning. What is the a-priori knowledge representation that supports learning? I introduce Modeling Field Theory (MFT), a model-based neural network whose adaptive learning is based on a priori models. These models combine deterministic, fuzzy, and statistical aspects to account for a priori knowledge, its fuzzy nature, and data uncertainties. In the process of learning, a priori fuzzy concepts converge to crisp or probabilistic concepts. The MFT is a convergent dynamical system of only linear computational complexity. Fuzzy logic turns out to be essential for reducing the combinatorial complexity to linear one. I will discuss the relationship of the new computational paradigm to two theories due to Aristotle: theory of Forms and logic. While theory of Forms argued that the mind cannot be based on ready-made a priori concepts, Aristotelian logic operated with just such concepts. I discuss an interpretation of MFT suggesting that its fuzzy logic, combining a-priority and adaptivity, implements Aristotelian theory of Forms (theory of mind). Thus, 2300 years after Aristotle, a logic is developed suitable for his theory of mind.

Evaluation of B2C website based on the usability factors by using fuzzy AHP & hierarchical fuzzy TOPSIS

Science.gov (United States)

Masudin, I.; Saputro, T. E.

2016-02-01

In today's technology, electronic trading transaction via internet has been utilized properly with rapid growth. This paper intends to evaluate related to B2C e-commerce website in order to find out the one which meets the usability factors better than another. The influential factors to B2C e-commerce website are determined for two big retailer websites. The factors are investigated based on the consideration of several studies and conformed to the website characteristics. The evaluation is conducted by using different methods namely fuzzy AHP and hierarchical fuzzy TOPSIS so that the final evaluation can be compared. Fuzzy triangular number is adopted to deal with imprecise judgment under fuzzy environment.

Fuzzy Sets-based Control Rules for Terminating Algorithms

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Jose L. VERDEGAY

2002-01-01

Full Text Available In this paper some problems arising in the interface between two different areas, Decision Support Systems and Fuzzy Sets and Systems, are considered. The Model-Base Management System of a Decision Support System which involves some fuzziness is considered, and in that context the questions on the management of the fuzziness in some optimisation models, and then of using fuzzy rules for terminating conventional algorithms are presented, discussed and analyzed. Finally, for the concrete case of the Travelling Salesman Problem, and as an illustration of determination, management and using the fuzzy rules, a new algorithm easy to implement in the Model-Base Management System of any oriented Decision Support System is shown.

Advances in type-2 fuzzy sets and systems theory and applications

CERN Document Server

Mendel, Jerry; Tahayori, Hooman

2013-01-01

This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet.  The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.

On the Difference between Traditional and Deductive Fuzzy Logic

Czech Academy of Sciences Publication Activity Database

Běhounek, Libor

2008-01-01

Roč. 159, č. 10 (2008), s. 1153-1164 ISSN 0165-0114 R&D Projects: GA AV ČR KJB100300502 Institutional research plan: CEZ:AV0Z10300504 Keywords : deductive fuzzy logic * fuzzy elements * gradual sets * entropy of fuzzy sets * aggregation * membership degrees * methodology of fuzzy mathematics Subject RIV: BA - General Mathematics Impact factor: 1.833, year: 2008

On macroeconomic values investigation using fuzzy linear regression analysis

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Richard Pospíšil

2017-06-01

Full Text Available The theoretical background for abstract formalization of the vague phenomenon of complex systems is the fuzzy set theory. In the paper, vague data is defined as specialized fuzzy sets - fuzzy numbers and there is described a fuzzy linear regression model as a fuzzy function with fuzzy numbers as vague parameters. To identify the fuzzy coefficients of the model, the genetic algorithm is used. The linear approximation of the vague function together with its possibility area is analytically and graphically expressed. A suitable application is performed in the tasks of the time series fuzzy regression analysis. The time-trend and seasonal cycles including their possibility areas are calculated and expressed. The examples are presented from the economy field, namely the time-development of unemployment, agricultural production and construction respectively between 2009 and 2011 in the Czech Republic. The results are shown in the form of the fuzzy regression models of variables of time series. For the period 2009-2011, the analysis assumptions about seasonal behaviour of variables and the relationship between them were confirmed; in 2010, the system behaved fuzzier and the relationships between the variables were vaguer, that has a lot of causes, from the different elasticity of demand, through state interventions to globalization and transnational impacts.

Landscape evaluation of heterogeneous areas using fuzzy sets

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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.

Molecular processors: from qubits to fuzzy logic.

Science.gov (United States)

Gentili, Pier Luigi

2011-03-14

Single molecules or their assemblies are information processing devices. Herein it is demonstrated how it is possible to process different types of logic through molecules. As long as decoherent effects are maintained far away from a pure quantum mechanical system, quantum logic can be processed. If the collapse of superimposed or entangled wavefunctions is unavoidable, molecules can still be used to process either crisp (binary or multi-valued) or fuzzy logic. The way for implementing fuzzy inference engines is declared and it is supported by the examples of molecular fuzzy logic systems devised so far. Fuzzy logic is drawing attention in the field of artificial intelligence, because it models human reasoning quite well. This ability may be due to some structural analogies between a fuzzy logic system and the human nervous system. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Robust fuzzy output feedback controller for affine nonlinear systems via T-S fuzzy bilinear model: CSTR benchmark.

Science.gov (United States)

Hamdy, M; Hamdan, I

2015-07-01

In this paper, a robust H∞ fuzzy output feedback controller is designed for a class of affine nonlinear systems with disturbance via Takagi-Sugeno (T-S) fuzzy bilinear model. The parallel distributed compensation (PDC) technique is utilized to design a fuzzy controller. The stability conditions of the overall closed loop T-S fuzzy bilinear model are formulated in terms of Lyapunov function via linear matrix inequality (LMI). The control law is robustified by H∞ sense to attenuate external disturbance. Moreover, the desired controller gains can be obtained by solving a set of LMI. A continuous stirred tank reactor (CSTR), which is a benchmark problem in nonlinear process control, is discussed in detail to verify the effectiveness of the proposed approach with a comparative study. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Equipment Selection by using Fuzzy TOPSIS Method

Science.gov (United States)

Yavuz, Mahmut

2016-10-01

In this study, Fuzzy TOPSIS method was performed for the selection of open pit truck and the optimal solution of the problem was investigated. Data from Turkish Coal Enterprises was used in the application of the method. This paper explains the Fuzzy TOPSIS approaches with group decision-making application in an open pit coal mine in Turkey. An algorithm of the multi-person multi-criteria decision making with fuzzy set approach was applied an equipment selection problem. It was found that Fuzzy TOPSIS with a group decision making is a method that may help decision-makers in solving different decision-making problems in mining.

A neuro-fuzzy inference system for sensor monitoring

International Nuclear Information System (INIS)

Na, Man Gyun

2001-01-01

A neuro-fuzzy inference system combined with the wavelet denoising, PCA (principal component analysis) and SPRT (sequential probability ratio test) methods has been developed to monitor the relevant sensor using the information of other sensors. The paramters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The wavelet denoising technique was applied to remove noise components in input signals into the neuro-fuzzy system. By reducing the dimension of an input space into the neuro-fuzzy system without losing a significant amount of information, the PCA was used to reduce the time necessary to train the neuro-fuzzy system, simplify the structure of the neuro-fuzzy inference system and also, make easy the selection of the input signals into the neuro-fuzzy system. By using the residual signals between the estimated signals and the measured signals, the SPRT is applied to detect whether the sensors are degraded or not. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level, the pressurizer pressure, and the hot-leg temperature sensors in pressurized water reactors

Fuzzy Law and the Boundaries of Secularism

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W Menski

2010-12-01

Full Text Available The author delivered a speech at a Religare Conference. Showing his distaste for fuzzy law, he argues that "moderate secularism" is not merely another fuzzy concept, but it is "super-fuzzy", and that lawyers claiming to love certainty "have a tendency to sit in judgment over matters and even pre-judge things they know little about, including legal pluralism" leading to much irritation.

Study of decision framework of wind farm project plan selection under intuitionistic fuzzy set and fuzzy measure environment

International Nuclear Information System (INIS)

Wu, Yunna; Geng, Shuai; Xu, Hu; Zhang, Haobo

2014-01-01

Highlights: • Experts’ opinions are expressed by using the intuitionistic fuzzy values. • Fuzzy measure is used to solve the dependence problem of criteria. • The compensatory problem of performance scores is reasonably processed. - Abstract: Project selection plays an important role in the entire life cycle of wind farm project and the multi-criteria decision making (MCDM) methods are very important in the whole wind farm project plan selection process. There are problems in the present MCDM methods decrease evaluation quality of the wind farm project plans: first, the information loss exists in the wind farm project plan evaluation process. Second, it is difficult to satisfy the independent assumption of the multi-criteria decision making methods used in the wind farm project plan evaluation in fact. Third, the compensatory problem of performance scores of the wind farm project plans is processed unreasonably. Hence the innovation points of this paper are as follows: first, the intuitionistic fuzzy numbers are used instead of fuzzy numbers or numerical values to reflect the experts’ intuitive preferences to decrease the probability of information loss; second, the fuzzy measure is used to rate the important degrees of criteria in order to avoid the independent assumption and to increase the reasonability; third, the partial compensatory problem of performance scores is well processed by using intuitionistic fuzzy Choquet (IFC) operator and generalized intuitionistic fuzzy ordered geometric averaging (GIFOGA) operator. These operators can deal with the compensatory performance scores and non-compensatory performance scores respectively. Finally, a case study demonstrates the effectiveness of decision framework

A Brief History of Fuzzy Logic

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Angel Garrido

2012-04-01

Full Text Available

The problems of uncertainty, imprecision and vagueness have been discussed for many years. These problems have been major topics in philosophical circles with much debate, in particular, about the nature of vagueness and the ability of traditional Boolean logic to cope with concepts and perceptions that are imprecise or vague. The Fuzzy Logic (which is usually translated into Castilian by “Lógica Borrosa”, or “Lógica Difusa”, but also by “Lógica Heurística” can be considered a bypass-valued logics (Multi-valued Logic, MVL, its acronym in English. It is founded on, and is closely related to-Fuzzy Sets Theory, and successfully applied on Fuzzy Systems. You might think that fuzzy logic is quite recent and what has worked for a short time, but its origins date back at least to the Greek philosophers and especially Plato (428-347 B.C.. It even seems plausible
to trace their origins in China and India. Because it seems that they were the first to consider that all things need not be of a certain type or quit, but there are a stopover between. That is, be the pioneers in considering that there may be varying degrees of truth and falsehood. In case of colors, for example, between white and black there is a whole infinite scale: the shades of gray. Some recent theorems show that in principle fuzzy logic can be used to model any continuous system, be it based
in AI, or physics, or biology, or economics, etc. Investigators in many fields may find that fuzzy, commonsense models are more useful, and many more accurate than are standard mathematical ones. We analyze here the history and development of this problem: Fuzziness, or “Borrosidad” (in Castilian, essential to work with Uncertainty.

A fuzzy neural network for sensor signal estimation

International Nuclear Information System (INIS)

Na, Man Gyun

2000-01-01

In this work, a fuzzy neural network is used to estimate the relevant sensor signal using other sensor signals. Noise components in input signals into the fuzzy neural network are removed through the wavelet denoising technique. Principal component analysis (PCA) is used to reduce the dimension of an input space without losing a significant amount of information. A lower dimensional input space will also usually reduce the time necessary to train a fuzzy-neural network. Also, the principal component analysis makes easy the selection of the input signals into the fuzzy neural network. The fuzzy neural network parameters are optimized by two learning methods. A genetic algorithm is used to optimize the antecedent parameters of the fuzzy neural network and a least-squares algorithm is used to solve the consequent parameters. The proposed algorithm was verified through the application to the pressurizer water level and the hot-leg flowrate measurements in pressurized water reactors

Sanitizing sensitive association rules using fuzzy correlation scheme

International Nuclear Information System (INIS)

Hameed, S.; Shahzad, F.; Asghar, S.

2013-01-01

Data mining is used to extract useful information hidden in the data. Sometimes this extraction of information leads to revealing sensitive information. Privacy preservation in Data Mining is a process of sanitizing sensitive information. This research focuses on sanitizing sensitive rules discovered in quantitative data. The proposed scheme, Privacy Preserving in Fuzzy Association Rules (PPFAR) is based on fuzzy correlation analysis. In this work, fuzzy set concept is integrated with fuzzy correlation analysis and Apriori algorithm to mark interesting fuzzy association rules. The identified rules are called sensitive. For sanitization, we use modification technique where we substitute maximum value of fuzzy items with zero, which occurs most frequently. Experiments demonstrate that PPFAR method hides sensitive rules with minimum modifications. The technique also maintains the modified data's quality. The PPFAR scheme has applications in various domains e.g. temperature control, medical analysis, travel time prediction, genetic behavior prediction etc. We have validated the results on medical dataset. (author)

Improved hybridization of Fuzzy Analytic Hierarchy Process (FAHP) algorithm with Fuzzy Multiple Attribute Decision Making - Simple Additive Weighting (FMADM-SAW)

Science.gov (United States)

Zaiwani, B. E.; Zarlis, M.; Efendi, S.

2018-03-01

In this research, the improvement of hybridization algorithm of Fuzzy Analytic Hierarchy Process (FAHP) with Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) in selecting the best bank chief inspector based on several qualitative and quantitative criteria with various priorities. To improve the performance of the above research, FAHP algorithm hybridization with Fuzzy Multiple Attribute Decision Making - Simple Additive Weighting (FMADM-SAW) algorithm was adopted, which applied FAHP algorithm to the weighting process and SAW for the ranking process to determine the promotion of employee at a government institution. The result of improvement of the average value of Efficiency Rate (ER) is 85.24%, which means that this research has succeeded in improving the previous research that is equal to 77.82%. Keywords: Ranking and Selection, Fuzzy AHP, Fuzzy TOPSIS, FMADM-SAW.

Computing the eigenvalues and eigenvectors of a fuzzy matrix

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A. Kumar

2012-08-01

Full Text Available Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully fuzzy linear system $widetilde{A}widetilde{X}= widetilde{lambda} widetilde{X}.$

Fuzzy audit risk modeling algorithm

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Zohreh Hajihaa

2011-07-01

Full Text Available Fuzzy logic has created suitable mathematics for making decisions in uncertain environments including professional judgments. One of the situations is to assess auditee risks. During recent years, risk based audit (RBA has been regarded as one of the main tools to fight against fraud. The main issue in RBA is to determine the overall audit risk an auditor accepts, which impact the efficiency of an audit. The primary objective of this research is to redesign the audit risk model (ARM proposed by auditing standards. The proposed model of this paper uses fuzzy inference systems (FIS based on the judgments of audit experts. The implementation of proposed fuzzy technique uses triangular fuzzy numbers to express the inputs and Mamdani method along with center of gravity are incorporated for defuzzification. The proposed model uses three FISs for audit, inherent and control risks, and there are five levels of linguistic variables for outputs. FISs include 25, 25 and 81 rules of if-then respectively and officials of Iranian audit experts confirm all the rules.

Fuzzy logic guided inverse treatment planning

International Nuclear Information System (INIS)

Yan Hui; Yin Fangfang; Guan Huaiqun; Kim, Jae Ho

2003-01-01

A fuzzy logic technique was applied to optimize the weighting factors in the objective function of an inverse treatment planning system for intensity-modulated radiation therapy (IMRT). Based on this technique, the optimization of weighting factors is guided by the fuzzy rules while the intensity spectrum is optimized by a fast-monotonic-descent method. The resultant fuzzy logic guided inverse planning system is capable of finding the optimal combination of weighting factors for different anatomical structures involved in treatment planning. This system was tested using one simulated (but clinically relevant) case and one clinical case. The results indicate that the optimal balance between the target dose and the critical organ dose is achieved by a refined combination of weighting factors. With the help of fuzzy inference, the efficiency and effectiveness of inverse planning for IMRT are substantially improved

Fuzzy Reasoning Based on First-Order Modal Logic,

NARCIS (Netherlands)

Zhang, Xiaoru; Zhang, Z.; Sui, Y.; Huang, Z.

2008-01-01

As an extension of traditional modal logics, this paper proposes a fuzzy first-order modal logic based on believable degree, and gives out a description of the fuzzy first-order modal logic based on constant domain semantics. In order to make the reasoning procedure between the fuzzy assertions

Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks

Directory of Open Access Journals (Sweden)

Rui Wang

2011-01-01

Full Text Available Location discovery with uncertainty using passive sensor networks in the nation's power grid is known to be challenging, due to the massive scale and inherent complexity. For bearings-only target localization in passive sensor networks, the approach of fuzzy geometry is introduced to investigate the fuzzy measurability for a moving target in R2 space. The fuzzy analytical bias expressions and the geometrical constraints are derived for bearings-only target localization. The interplay between fuzzy geometry of target localization and the fuzzy estimation bias for the case of fuzzy linear observer trajectory is analyzed in detail in sensor networks, which can realize the 3-dimensional localization including fuzzy estimate position and velocity of the target by measuring the fuzzy azimuth angles at intervals of fixed time. Simulation results show that the resulting estimate position outperforms the traditional least squares approach for localization with uncertainty.

Train Repathing in Emergencies Based on Fuzzy Linear Programming

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Xuelei Meng

2014-01-01

Full Text Available Train pathing is a typical problem which is to assign the train trips on the sets of rail segments, such as rail tracks and links. This paper focuses on the train pathing problem, determining the paths of the train trips in emergencies. We analyze the influencing factors of train pathing, such as transferring cost, running cost, and social adverse effect cost. With the overall consideration of the segment and station capability constraints, we build the fuzzy linear programming model to solve the train pathing problem. We design the fuzzy membership function to describe the fuzzy coefficients. Furthermore, the contraction-expansion factors are introduced to contract or expand the value ranges of the fuzzy coefficients, coping with the uncertainty of the value range of the fuzzy coefficients. We propose a method based on triangular fuzzy coefficient and transfer the train pathing (fuzzy linear programming model to a determinate linear model to solve the fuzzy linear programming problem. An emergency is supposed based on the real data of the Beijing-Shanghai Railway. The model in this paper was solved and the computation results prove the availability of the model and efficiency of the algorithm.

Train repathing in emergencies based on fuzzy linear programming.

Science.gov (United States)

Meng, Xuelei; Cui, Bingmou

2014-01-01

Train pathing is a typical problem which is to assign the train trips on the sets of rail segments, such as rail tracks and links. This paper focuses on the train pathing problem, determining the paths of the train trips in emergencies. We analyze the influencing factors of train pathing, such as transferring cost, running cost, and social adverse effect cost. With the overall consideration of the segment and station capability constraints, we build the fuzzy linear programming model to solve the train pathing problem. We design the fuzzy membership function to describe the fuzzy coefficients. Furthermore, the contraction-expansion factors are introduced to contract or expand the value ranges of the fuzzy coefficients, coping with the uncertainty of the value range of the fuzzy coefficients. We propose a method based on triangular fuzzy coefficient and transfer the train pathing (fuzzy linear programming model) to a determinate linear model to solve the fuzzy linear programming problem. An emergency is supposed based on the real data of the Beijing-Shanghai Railway. The model in this paper was solved and the computation results prove the availability of the model and efficiency of the algorithm.

Integrated development environment for fuzzy logic applications

Science.gov (United States)

Pagni, Andrea; Poluzzi, Rinaldo; Rizzotto, GianGuido; Lo Presti, Matteo

1993-12-01

During the last five years, Fuzzy Logic has gained enormous popularity, both in the academic and industrial worlds, breaking up the traditional resistance against changes thanks to its innovative approach to problems formalization. The success of this new methodology is pushing the creation of a brand new class of devices, called Fuzzy Machines, to overcome the limitations of traditional computing systems when acting as Fuzzy Systems and adequate Software Tools to efficiently develop new applications. This paper aims to present a complete development environment for the definition of fuzzy logic based applications. The environment is also coupled with a sophisticated software tool for semiautomatic synthesis and optimization of the rules with stability verifications. Later it is presented the architecture of WARP, a dedicate VLSI programmable chip allowing to compute in real time a fuzzy control process. The article is completed with two application examples, which have been carried out exploiting the aforementioned tools and devices.

Fuzzy linguistic model for interpolation

International Nuclear Information System (INIS)

Abbasbandy, S.; Adabitabar Firozja, M.

2007-01-01

In this paper, a fuzzy method for interpolating of smooth curves was represented. We present a novel approach to interpolate real data by applying the universal approximation method. In proposed method, fuzzy linguistic model (FLM) applied as universal approximation for any nonlinear continuous function. Finally, we give some numerical examples and compare the proposed method with spline method

Fuzzy torus via q-Parafermion

International Nuclear Information System (INIS)

Aizawa, N; Chakrabarti, R

2007-01-01

We note that the recently introduced fuzzy torus can be regarded as a q-deformed parafermion. Based on this picture, classification of the Hermitian representations of the fuzzy torus is carried out. The result involves Fock-type representations and new finite-dimensional representations for q being a root of unity as well as already known finite-dimensional ones

Formación docente y representaciones sobre Salud: caminos para la Educación en Salud desde una mirada crítica

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Fernando Garelli

2017-05-01

Full Text Available RESUMEN: Con el objetivo de realizar un aporte a la formación docente, presentamos un análisis de representaciones sobre salud a partir de definiciones y producciones gráficas en el marco de una experiencia pedagógica para docentes en ejercicio del nivel inicial, realizada entre 2012 y 2014. Las definiciones permitieron reconocer las ontologías subyacentes, mientras que las producciones gráficas desplegaron variados componentes y dimensiones, enriqueciendo a las definiciones. Identificamos una lectura de la salud centrada en el individuo, que relacionamos con categorías de trabajos anteriores como la salud como estilo de vida, la salud como equilibrio y el enfoque educativo comportamental. La reflexión crítica respecto de las prácticas asociadas a esta mirada fue, en nuestra experiencia, una de las puertas de entrada para desnaturalizar lo existente y fomentar perspectivas más complejas, multidimensionales y críticas.

Efficient solution of a multi objective fuzzy transportation problem

Science.gov (United States)

Vidhya, V.; Ganesan, K.

2018-04-01

In this paper we present a methodology for the solution of multi-objective fuzzy transportation problem when all the cost and time coefficients are trapezoidal fuzzy numbers and the supply and demand are crisp numbers. Using a new fuzzy arithmetic on parametric form of trapezoidal fuzzy numbers and a new ranking method all efficient solutions are obtained. The proposed method is illustrated with an example.

Logical Characterisation of Ontology Construction using Fuzzy Description Logics

DEFF Research Database (Denmark)

Badie, Farshad; Götzsche, Hans

had the extension of ontologies with Fuzzy Logic capabilities which plan to make proper backgrounds for ontology driven reasoning and argumentation on vague and imprecise domains. This presentation conceptualises learning from fuzzy classes using the Inductive Logic Programming framework. Then......, employs Description Logics in characterising and analysing fuzzy statements. And finally, provides a conceptual framework describing fuzzy concept learning in ontologies using the Inductive Logic Programming....

Interpolation of fuzzy data | Khodaparast | Journal of Fundamental ...

African Journals Online (AJOL)

Considering the many applications of mathematical functions in different ways, it is essential to have a defining function. In this study, we used Fuzzy Lagrangian interpolation and natural fuzzy spline polynomials to interpolate the fuzzy data. In the current world and in the field of science and technology, interpolation issues ...

Implementation of fuzzy logic control algorithm in embedded ...

African Journals Online (AJOL)

Fuzzy logic control algorithm solves problems that are difficult to address with traditional control techniques. This paper describes an implementation of fuzzy logic control algorithm using inexpensive hardware as well as how to use fuzzy logic to tackle a specific control problem without any special software tools. As a case ...

Polynomial fuzzy observer designs: a sum-of-squares approach.

Science.gov (United States)

Tanaka, Kazuo; Ohtake, Hiroshi; Seo, Toshiaki; Tanaka, Motoyasu; Wang, Hua O

2012-10-01

This paper presents a sum-of-squares (SOS) approach to polynomial fuzzy observer designs for three classes of polynomial fuzzy systems. The proposed SOS-based framework provides a number of innovations and improvements over the existing linear matrix inequality (LMI)-based approaches to Takagi-Sugeno (T-S) fuzzy controller and observer designs. First, we briefly summarize previous results with respect to a polynomial fuzzy system that is a more general representation of the well-known T-S fuzzy system. Next, we propose polynomial fuzzy observers to estimate states in three classes of polynomial fuzzy systems and derive SOS conditions to design polynomial fuzzy controllers and observers. A remarkable feature of the SOS design conditions for the first two classes (Classes I and II) is that they realize the so-called separation principle, i.e., the polynomial fuzzy controller and observer for each class can be separately designed without lack of guaranteeing the stability of the overall control system in addition to converging state-estimation error (via the observer) to zero. Although, for the last class (Class III), the separation principle does not hold, we propose an algorithm to design polynomial fuzzy controller and observer satisfying the stability of the overall control system in addition to converging state-estimation error (via the observer) to zero. All the design conditions in the proposed approach can be represented in terms of SOS and are symbolically and numerically solved via the recently developed SOSTOOLS and a semidefinite-program solver, respectively. To illustrate the validity and applicability of the proposed approach, three design examples are provided. The examples demonstrate the advantages of the SOS-based approaches for the existing LMI approaches to T-S fuzzy observer designs.

On Some Nonclassical Algebraic Properties of Interval-Valued Fuzzy Soft Sets

Science.gov (United States)

2014-01-01

Interval-valued fuzzy soft sets realize a hybrid soft computing model in a general framework. Both Molodtsov's soft sets and interval-valued fuzzy sets can be seen as special cases of interval-valued fuzzy soft sets. In this study, we first compare four different types of interval-valued fuzzy soft subsets and reveal the relations among them. Then we concentrate on investigating some nonclassical algebraic properties of interval-valued fuzzy soft sets under the soft product operations. We show that some fundamental algebraic properties including the commutative and associative laws do not hold in the conventional sense, but hold in weaker forms characterized in terms of the relation =L. We obtain a number of algebraic inequalities of interval-valued fuzzy soft sets characterized by interval-valued fuzzy soft inclusions. We also establish the weak idempotent law and the weak absorptive law of interval-valued fuzzy soft sets using interval-valued fuzzy soft J-equal relations. It is revealed that the soft product operations ∧ and ∨ of interval-valued fuzzy soft sets do not always have similar algebraic properties. Moreover, we find that only distributive inequalities described by the interval-valued fuzzy soft L-inclusions hold for interval-valued fuzzy soft sets. PMID:25143964

On Some Nonclassical Algebraic Properties of Interval-Valued Fuzzy Soft Sets

Directory of Open Access Journals (Sweden)

Xiaoyan Liu

2014-01-01

Full Text Available Interval-valued fuzzy soft sets realize a hybrid soft computing model in a general framework. Both Molodtsov’s soft sets and interval-valued fuzzy sets can be seen as special cases of interval-valued fuzzy soft sets. In this study, we first compare four different types of interval-valued fuzzy soft subsets and reveal the relations among them. Then we concentrate on investigating some nonclassical algebraic properties of interval-valued fuzzy soft sets under the soft product operations. We show that some fundamental algebraic properties including the commutative and associative laws do not hold in the conventional sense, but hold in weaker forms characterized in terms of the relation =L. We obtain a number of algebraic inequalities of interval-valued fuzzy soft sets characterized by interval-valued fuzzy soft inclusions. We also establish the weak idempotent law and the weak absorptive law of interval-valued fuzzy soft sets using interval-valued fuzzy soft J-equal relations. It is revealed that the soft product operations ∧ and ∨ of interval-valued fuzzy soft sets do not always have similar algebraic properties. Moreover, we find that only distributive inequalities described by the interval-valued fuzzy soft L-inclusions hold for interval-valued fuzzy soft sets.

On some nonclassical algebraic properties of interval-valued fuzzy soft sets.

Science.gov (United States)

Liu, Xiaoyan; Feng, Feng; Zhang, Hui

2014-01-01

Interval-valued fuzzy soft sets realize a hybrid soft computing model in a general framework. Both Molodtsov's soft sets and interval-valued fuzzy sets can be seen as special cases of interval-valued fuzzy soft sets. In this study, we first compare four different types of interval-valued fuzzy soft subsets and reveal the relations among them. Then we concentrate on investigating some nonclassical algebraic properties of interval-valued fuzzy soft sets under the soft product operations. We show that some fundamental algebraic properties including the commutative and associative laws do not hold in the conventional sense, but hold in weaker forms characterized in terms of the relation = L . We obtain a number of algebraic inequalities of interval-valued fuzzy soft sets characterized by interval-valued fuzzy soft inclusions. We also establish the weak idempotent law and the weak absorptive law of interval-valued fuzzy soft sets using interval-valued fuzzy soft J-equal relations. It is revealed that the soft product operations ∧ and ∨ of interval-valued fuzzy soft sets do not always have similar algebraic properties. Moreover, we find that only distributive inequalities described by the interval-valued fuzzy soft L-inclusions hold for interval-valued fuzzy soft sets.

RISIKO RANTAI PASOK AGROINDUSTRI SALAK MENGGUNAKAN FUZZY FMEA

Directory of Open Access Journals (Sweden)

Ina Amanatur Risqiyah

2017-03-01

Full Text Available This research aims to identify and evaluate the risks of the supply chain management of salacca at the SME of Ambudi Makmur using fuzzy logic. In this research, identification of the supply chain risk was performed on each subject of supply chain using survey method. Furthermore, the results of supply chain risk in Ambudi Makmur were evaluated using FMEA’s fuzzy logic, a methodology using fuzzy logic to identify the problems or causes of failures that have occurred by consideration of criteria of Severity (S, Occurrence (O, and Detection (D. The identification results show that there are eight risk factors at the farm level, 11 risk factors, at the agribusiness industry level of SME of Ambudi Makmur, 4 risk factors at distributor level and 3 risk factors at the retailer level. The largest risk factor is in agribusiness industry, and the most dominant is on “make”. Based on the Fuzzy Risk Priority Number (FRPN, the first rank of risks of salacca supply chain is delay. Thus, this risk is the first priority that must be solved by Ambudi Makmur. Keywords: Fuzzy FMEA, risk supply chain, supply chainABSTRAKPenelitian ini bertujuan mengidentifikasi dan mengevalusi risiko rantai pasok salak di UKM Ambudi Makmur Bangkalan menggunakan logika fuzzy. Pada penelitian ini identifikasi risiko rantai pasok dilakukan pada tiap pelaku rantai pasok menggunakan metode survei. Selanjutnya, hasil identifikasi risiko rantai pasok pada UKM Ambudi Makmur dievaluasi menggunakan logika fuzzy FMEA.  Fuzzy FMEA merupakan metodologi yang memakai logika fuzzy dalam mengidentifikasi permasalahan atau penyebab kegagalan yang terjadi melalui pertimbangan kriteria severity (S, occurence (O, dan detection (D. Hasil identifikasi menunjukkan bahwa pada tingkat petani terdapat delapan faktor risiko, pada tingkat usaha agroindustri, yaitu UKM Ambudi Makmur terdapat 11 faktor risiko, pada tingkat distributor terdapat empat faktor risiko, pada tingkat retailer terdapat tiga