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Concepts and Fuzzy Logic (The MIT Press) de Radim Belohlavek
Descripción - Críticas ' Concepts in Fuzzy Logic stands out as a fundamental contribution to the foundations of fuzzy logic and, in particular, to the basic problem of concept formation. Professors Klir and Belohlavek, the contributors, and MIT Press deserve a loud applause.'--Lofti Zadeh, Director, Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley 'Thirty years ago, fuzzy set theory and cognitive science had a close relationship, centered on issues in the representation of concepts. There was a falling out, however, and each enterprise has gone its own way since. This volume attempts a rapprochement, through accessible tutorials and critical essays from each field. If the two resume a productive relationship in the future, this may well be through the efforts of the readers of this thoughtful and well-written book.'--Gregory L. Murphy, Department of Psychology, New York University 'The editors have assembled a diverse and stellar collection of authors to help them in bridging the interdisciplinary gap between the pyschology of concepts and theorizing in fuzzy logic. This is an important undertaking and one that is long overdue, given the as yet largely untapped potential synergy at the interface of these fields.'--Gregg C. Oden, Professor Emeritus of Psychology and of Computer Science, University of Iowa Reseña del editor Leading researchers examine the usefulness and limitations of fuzzy logic for the psychology of concepts. The classical view of concepts in psychology was challenged in the 1970s when experimental evidence showed that concept categories are graded and thus cannot be represented adequately by classical sets. The possibility of using fuzzy set theory and fuzzy logic for representing and dealing with concepts was recognized initially but then virtually abandoned in the early 1980s. In this volume, leading researchers-both psychologists working on concepts and mathematicians working on fuzzy logic-reassess the usefulness of fuzzy logic for the psychology of concepts. The book begins with two tutorials-one on concepts and the other on fuzzy logic-aimed at making relevant experimental and theoretical issues accessible to researchers in both fields. The contributors then discuss the experiments that led to the rejection of the classical view of concepts; analyze the various arguments against the use of fuzzy logic in the psychology of concepts and show that they are fallacious; review methods based on sound measurement principles for constructing fuzzy sets; introduce formal concept analysis and its capabilities when generalized by using fuzzy logic; consider conceptual combinations; examine lexical concepts; and propose a research program based on cooperation between researchers in the psychology of concepts and fuzzy logic. Biografía del autor Radim Belohlavek is Professor of Computer Science at Palacky University in Olomouc, Czech Republic. George J. Klir is Distinguished Professor Emeritus at Binghamton University. Radim Belohlavek is Professor of Computer Science at Palacky University in Olomouc, Czech Republic. George J. Klir is Distinguished Professor Emeritus at Binghamton University. Eleanor Rosch is Professor of Psychology at the University of California, Berkeley.
Detalles del Libro
- Name: Concepts and Fuzzy Logic (The MIT Press)
- Autor: Radim Belohlavek
- Categoria: Libros,Libros universitarios y de estudios superiores,Humanidades
- Tamaño del archivo: 13 MB
- Tipos de archivo: PDF Document
- Descargada: 125 times
- Idioma: Español
- Archivos de estado: AVAILABLE
Descargar Concepts and Fuzzy Logic (The MIT Press) de Radim Belohlavek libros ebooks
Concepts and Fuzzy Logic / The MIT Press ~ Endorsements. Concepts in Fuzzy Logic stands out as a fundamental contribution to the foundations of fuzzy logic and, in particular, to the basic problem of concept formation. Professors Klir and Belohlavek, the contributors, and MIT Press deserve a loud applause. Lofti Zadeh. Director, Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley
Concepts and Fuzzy Logic / Books Gateway / MIT Press ~ The possibility of using fuzzy set theory and fuzzy logic for representing and dealing with concepts was recognized initially but then virtually abandoned in the early 1980s. In this volume, leading researchers—both psychologists working on concepts and mathematicians working on fuzzy logic—reassess the usefulness of fuzzy logic for the psychology of concepts.
Fuzzy Sets and Fuzzy Logic: Theory and Applications ~ Fuzzy Sets and Fuzzy Logic: Theory and Applications: : Klir, George J., Yuan, Bo: Libros en idiomas extranjeros
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Concepts and Fuzzy Logic / MIT CogNet ~ The possibility of using fuzzy set theory and fuzzy logic for representing and dealing with concepts was recognized initially but then virtually abandoned in the early 1980s. In this volume, leading researchers—both psychologists working on concepts and mathematicians working on fuzzy logic—reassess the usefulness of fuzzy logic for the psychology of concepts.
fuzzy logic - Traducción al español – Linguee ~ Muchos ejemplos de oraciones traducidas contienen “fuzzy logic” – Diccionario español-inglés y buscador de traducciones en español.
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Fuzzy Logic / Download eBook pdf, epub, tuebl, mobi ~ Publisher by : MIT Press Format Available : PDF, ePub, Mobi Total Read : 65 Total Download : 771 File Size : 40,8 Mb. Description : In this work - both psychologists working on concepts and mathematicians working on fuzzy logic - reassess the usefulness of fuzzy logic for the psychology of concepts.
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Fuzzy Logic - An Introductory Course for Engineering ~ This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional
FUZZY LOGIC CONTROL IN ENERGY SYSTEMS WITH MATLAB / ISMAIL ~ This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It aims to convey an understanding of design approaches to fuzzy logic controllers in MATLAB(R) and MATLAB/Simulink(R) environments, and includes a basic theory of fuzzy sets and fuzzy logic required for designing fuzzy logic controllers.
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Introduction to Fuzzy Sets and Fuzzy Logic ~ Fuzzy logic in the narrow sense Fuzzy logic in the narrow sense Fuzzy logic in the narrow sense is symbolic logic with a comparative notion of truth developed fully in the spirit of classical logic (syntax, semantics, axiomatization, truth-preserving deduction, completeness, etc.; both propositional and predicate logic).
Lógica difusa - Wikipedia, la enciclopedia libre ~ Funcionamiento. La lógica difusa (fuzzy logic, en inglés) se adapta mejor al mundo real en el que vivimos, e incluso puede comprender y funcionar con nuestras expresiones, del tipo «hace mucho calor», «no es muy alto», «el ritmo del corazón está un poco acelerado», etc. La clave de esta adaptación al lenguaje se basa en comprender los cuantificadores de cualidad para nuestras .
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(T, ^, N) fuzzy logic - Dialnet ~ (T, ^, N) fuzzy logic. Autores: Y. Xu, J. Liu, D. Ruan Localización: Mathware & soft computing, ISSN-e 1134-5632, Vol. 8, Nº. 2, 2001, págs. 71-82 Idioma: inglés Títulos paralelos: Lógica difusa (T, ^, N) Enlaces. Texto completo (pdf)Resumen. To investigate more reasonable fuzzy reasoning model in expert systems as well as more effective logical circuit in fuzzy control, a (T, ^, N .