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Future Directions Of Fuzzy Theory And Systems


Future Directions Of Fuzzy Theory And Systems
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Future Directions Of Fuzzy Theory And Systems


Future Directions Of Fuzzy Theory And Systems
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Author : Yeung Yam
language : en
Publisher: World Scientific
Release Date : 1995

Future Directions Of Fuzzy Theory And Systems written by Yeung Yam and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.


This monograph includes expanded selected papers presented in the ?Workshop on the Future Directions of Fuzzy Theory and Systems?. It contains many recent developments in the field and provides valuable insights into the future direction and applications of fuzzy theory and systems.



Future Directions Of Fuzzy Theory And Systems


Future Directions Of Fuzzy Theory And Systems
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Author : Kwong-sak Leung
language : en
Publisher: World Scientific
Release Date : 1995-09-20

Future Directions Of Fuzzy Theory And Systems written by Kwong-sak Leung and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-20 with Technology & Engineering categories.


This monograph includes expanded selected papers presented in the “Workshop on the Future Directions of Fuzzy Theory and Systems”. It contains many recent developments in the field and provides valuable insights into the future direction and applications of fuzzy theory and systems.



Fuzzy Logic


Fuzzy Logic
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Author : Marek J. Patyra
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Fuzzy Logic written by Marek J. Patyra 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 Technology & Engineering categories.


This edited volume contains ten papers on the subject of fuzzy technology. Fuzzy technology emerged as a combination of fuzzy sets theory, fuzzy logic and fuzzy-based reasoning. As a technology it gained a very practical meaning through thousands of applications in different theoretical as well as practical disciplines, covering mathematics, physics, chemistry, biology, life science, social science, economy, computer science, and (foremost) electrical, electronic, mechanical, nuclear, chemical, textile, aeronautic, ocean, and many other engineering disciplines. The goal of this book is to create an interest in fuzzy technology among researchers, engineers, professionals and students involved in the research and development in the broad area of artificial intelligence. This book is also intended to bring the reader up-to-date in the area of implementations and applications of fuzzy technology, as well as to generate and stimulate new research ideas in this area. It may inspire and motivate the researcher in new directions, as well as creating a force for new efforts to make a fuzzy technology commonly known and used in science and engineering. This volume appears at a time of unprecedented research interest in the field of fuzzy technology. I intentionally wrote research due to the events that have occurred during the last couple of years. To be more specific, I should describe this interest geographically.



Industrial Applications Of Fuzzy Technology In The World


Industrial Applications Of Fuzzy Technology In The World
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Author : Kaoru Hirota
language : en
Publisher: World Scientific
Release Date : 1995

Industrial Applications Of Fuzzy Technology In The World written by Kaoru Hirota and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Technology & Engineering categories.


The 1980s saw a whole wave of practical applications of fuzzy theory, mainly in the field of process control, with Japan as pioneer. In the '90s there has been a flood of applications to household electrical appliances, and?fuzzy? has become a high-tech buzz-word in Japan. Since then many countries have followed suit and developed their own fuzzy applications.This book reviews the burgeoning industrial applications of fuzzy theory. The contributors are mostly industrial engineers or research experts in the field. The areas covered include automobiles, home appliances, voice recognition, medical techniques, fuzzy design, process control, space operations and mobile autonomous robots.Very recently the development of fuzzy theory has become intertwined with fields such as neural networks and chaos. This volume also summarizes such trends in an industrial context.The book will be of use to senior undergraduates or graduate students, industrial research scientists, and anyone interested in the wide-ranging applicational aspects of fuzzy theory today.



Uncertain Rule Based Fuzzy Systems


Uncertain Rule Based Fuzzy Systems
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Author : Jerry M. Mendel
language : en
Publisher: Springer
Release Date : 2017-05-17

Uncertain Rule Based Fuzzy Systems written by Jerry M. Mendel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with Technology & Engineering categories.


The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.



Fuzzy Logic In Its 50th Year


Fuzzy Logic In Its 50th Year
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2016-05-17

Fuzzy Logic In Its 50th Year written by Cengiz Kahraman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-17 with Technology & Engineering categories.


This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions.



Applied Fuzzy Systems


Applied Fuzzy Systems
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Author : Toshiro Terano
language : en
Publisher: Academic Press
Release Date : 2014-05-10

Applied Fuzzy Systems written by Toshiro Terano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Technology & Engineering categories.


Applied Fuzzy Systems provides information pertinent to the fundamental aspects of fuzzy systems theory and its application. This book discusses the development of high-level artificial intelligence and information processing systems, as well as the realization of fuzzy computers. Organized into six chapters, this book begins with an overview of the fundamental problems addressed by fuzzy systems. This text then reviews standard computer logic or two-valued Boolean algebra. Other chapters consider bus scheduling, evaluation of structural reliability, applications of schema systems for decision-making, and processing of natural-language information and systems for medical diagnosis as examples of fuzzy expert systems. This book discusses as well a practical fuzzy expert system for durability evaluations of reinforced concrete slabs for bridges, along with an example of application. The final chapter deals with the important parts of the construction of fuzzy computers, their architecture, and the outlook for the future. This book is a valuable resource for engineers, mathematicians, technicians, and research workers.



Fuzzy Set Theory And Its Applications


Fuzzy Set Theory And Its Applications
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Author : Hans-Jürgen Zimmermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-27

Fuzzy Set Theory And Its Applications 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 2011-06-27 with Mathematics categories.


This introduction to fuzzy set theory and its multitude of applications seeks to balance the character of the book with the dynamic nature of the research. This edition includes new chapters on possibility theory, fuzzy logic and approximate reasoning, expert systems, fuzzy control, fuzzy data analysis, decision making and fuzzy set models in operations research. Existing material has been updated, and extended exercises are included.



Fuzzy Decision Making And Soft Computing Applications


Fuzzy Decision Making And Soft Computing Applications
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Author : Giuseppe De Pietro
language : en
Publisher:
Release Date : 2022

Fuzzy Decision Making And Soft Computing Applications written by Giuseppe De Pietro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


This Special Issue collects original research articles discussing cutting-edge work as well as perspectives on future directions in the whole range of theoretical and practical aspects in these research areas: i) Theory of fuzzy systems and soft computing; ii) Learning procedures; iii) Decision-making applications employing fuzzy logic and soft computing.



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.