Cooperative Fuzzy Expert Systems


Cooperative Fuzzy Expert Systems
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Cooperative Fuzzy Expert Systems


Cooperative Fuzzy Expert Systems
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Author : Moti Schneider
language : en
Publisher:
Release Date : 1988

Cooperative Fuzzy Expert Systems written by Moti Schneider and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Expert systems (Computer science) categories.




Fuzzy Sets Decision Making And Expert Systems


Fuzzy Sets Decision Making And Expert Systems
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Author : Hans-Jürgen Zimmermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Fuzzy Sets Decision Making And Expert Systems written by Hans-Jürgen Zimmermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.



Fuzzy Expert Systems


Fuzzy Expert Systems
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Author : Abraham Kandel
language : en
Publisher: CRC Press
Release Date : 1991-11-12

Fuzzy Expert Systems written by Abraham Kandel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-11-12 with Computers categories.


Until recently, fuzzy logic was the intellectual plaything of a handful of researchers. Now it is being used to enhance the power of intelligent systems, as well as improve the performance and reduce the cost of intelligent and "smart" products appearing in the commercial market. Fuzzy Expert Systems focuses primarily on the theory of fuzzy expert systems and their applications in science and engineering. In doing so, it provides the first comprehensive study of "soft" expert systems and applications for those systems. Topics covered include general purpose fuzzy expert systems, processing imperfect information using structured frameworks, the fuzzy linguistic inference network generator, fuzzy associative memories, the role of approximate reasoning in medical expert systems, MILORD (a fuzzy expert systems shell), and COMAX (an autonomous fuzzy expert system for tactical communications networks. Fuzzy Expert Systems provides an invaluable reference resource for researchers and students in artificial intelligence (AI) and approximate reasoning (AR), as well as for other researchers looking for methods to apply similar tools in their own designs of intelligent systems.



Fuzzy Expert Systems And Fuzzy Reasoning


Fuzzy Expert Systems And Fuzzy Reasoning
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Author : William Siler
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-22

Fuzzy Expert Systems And Fuzzy Reasoning written by William Siler and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-22 with Computers categories.


Hier lernen Sie, Expertensysteme auf der Basis von Fuzzy Logic zu konstruieren, die sich für den praktischen Einsatz eignen. Expertensysteme werden zunächst allgemein definiert, und die zugrundeliegende Mathematik wird eingeführt. Regelbasierte Systeme werden gründlicher besprochen als in jedem anderen Buch mit ähnlichem Thema. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen. Von einem zugehörigen ftp-Server können Sie Ergänzungsmaterial abrufen. Für Praktiker und Forscher aus dem akademischen Umfeld gleichermaßen geeignet!



Fuzzy Engineering Expert Systems With Neural Network Applications


Fuzzy Engineering Expert Systems With Neural Network Applications
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Author : Adedeji Bodunde Badiru
language : en
Publisher: John Wiley & Sons
Release Date : 2002-10-08

Fuzzy Engineering Expert Systems With Neural Network Applications written by Adedeji Bodunde Badiru and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-08 with Computers categories.


Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.



Fuzzy Collaborative Forecasting And Clustering


Fuzzy Collaborative Forecasting And Clustering
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Author : Tin-Chih Toly Chen
language : en
Publisher: Springer
Release Date : 2019-06-14

Fuzzy Collaborative Forecasting And Clustering written by Tin-Chih Toly Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Technology & Engineering categories.


This book introduces the basic concepts of fuzzy collaborative forecasting and clustering, including its methodology, system architecture, and applications. It demonstrates how dealing with disparate data sources is becoming more and more popular due to the increasing spread of internet applications. The book proposes the concepts of collaborative computing intelligence and collaborative fuzzy modeling, and establishes several so-called fuzzy collaborative systems. It shows how technical constraints, security issues, and privacy considerations often limit access to some sources. This book is a valuable source of information for postgraduates, researchers and fuzzy control system developers, as it presents a very effective fuzzy approach that can deal with disparate data sources, big data, and multiple expert decision making.



Expert Systems And Fuzzy Systems


Expert Systems And Fuzzy Systems
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Author : Constantin Virgil Negoiță
language : en
Publisher: Benjamin-Cummings Publishing Company
Release Date : 1985

Expert Systems And Fuzzy Systems written by Constantin Virgil Negoiță and has been published by Benjamin-Cummings Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.


Exact and inexact reasoning in knowledge engineering; Fuzzy sets; knowledge representation; Aproximate reasoning; Knowledge engineering in decision support systems; Knowledge engineering in management expert systems; The categorial analysis of logic; Bibliography; Index.



Fuzzy Expert System Tools


Fuzzy Expert System Tools
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Author : Moti Schneider
language : en
Publisher: John Wiley & Sons
Release Date : 1996-08-06

Fuzzy Expert System Tools written by Moti Schneider and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-06 with Computers categories.


Fuzzy set theory is a mathematical structure for representing uncertainty. Modern intelligent systems must combine knowledge based on techniques for gathering and processing information with methods of approximate reasoning. This enables an intelligent system to better emulate human decision-making in uncertain environments. Complimentary to the text is a software package containing executable FEST code. The text contains a detailed description of FEST and its coherent and systematic exploitation.



Fuzzy Logic And Expert Systems Applications


Fuzzy Logic And Expert Systems Applications
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Author : Cornelius T. Leondes
language : en
Publisher: Academic Press
Release Date : 1998

Fuzzy Logic And Expert Systems Applications written by Cornelius T. Leondes and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.


This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies. Fuzzy system techniques applied to neural networks for modeling and control Systematic design procedures for realizing fuzzy neural systems Techniques for the design of rule-based expert systems Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets System identification and control Nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies



Introduction To Neuro Fuzzy Systems


Introduction To Neuro Fuzzy Systems
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Author : Robert Fuller
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-05

Introduction To Neuro Fuzzy Systems written by Robert Fuller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-05 with Computers categories.


Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. • In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. • In fuzzy logic, everything is a matter of degree. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. • Inference is viewed as a process of propagation of elastic con straints. • Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance für specific applications.