Fuzzy set theory and its applications

  • 363 Pages
  • 1.25 MB
  • 857 Downloads
  • English
by
Kluwer-Nijhoff Pub., Distributors for North America, Kluwer Academic Publishers , Boston, Hingham, MA, U.S.A
Fuzzy sets, Operations res
StatementH.-J. Zimmermann.
SeriesInternational series in management science/operations research
Classifications
LC ClassificationsQA248 .Z55 1985
The Physical Object
Paginationxii, 363 p. :
ID Numbers
Open LibraryOL2866389M
ISBN 100898381509
LC Control Number84029711

Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others.

Fuzzy Set Theory - and its Applications, Fourth Edition updates the research agenda with 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.

Chapters have been updated and extended exercises are included. Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the : Hans-Jürgen Zimmermann.

This book, Fuzzy Set Theory: Foundations and Applications, is intended to fill a particular gap in the literature. Its aim is to serve as a textbook for a general course in undergraduate liberal arts and sciences programs.

This aim is reflected in the content of the book and the style in which it is by: Probability of a Fuzzy Event as a Fuzzy Set Possibility vs. Probability Part II: Applications of Fuzzy Set Theory 9 Fuzzy Logic and Approximate Reasoning Linguistic Variables Fuzzy Logic Classical Logics Revisited Linguistic Truth Tables Approximate and Plausible Reasoning 9.

Fuzzy Set Theory. and Its Applications by Zimmermann, Hans-J�rgen and a great selection of related books, art and collectibles available now at Fuzzy Set Theory and Its Applications by Zimmermann, Hans-Jürgen and a great selection of related books, Book is in Used-Good condition.

Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Spend your time even for only few minutes to read a book. Reading a book will never reduce and waste your time to be useless.

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The text of this book aims to help university and college students to learn the basics of fuzzy set theory, fuzzy logic and enable them to make relevant applications.

The aim of this book is to bring the mathematics of fuzzy set theory and fuzzy logic into the educational system in a systematic way. "Seising follows historically and contextually fuzzy set theory and its early applications by telling the story of Lotfi Zadeh, who coined the term ‘fuzzy set’ in This book is both a scientific reading and a biography; it attempts (and succeeds) to shed light on the (historic) context of the inception of this theory Brand: Springer-Verlag Berlin Heidelberg.

The primary goal of Fuzzy Set Theory - and its Applications, Fourth Edition is to provide a textbook for courses in fuzzy set theory, and a book that can be used as an introduction. To balance the character of a textbook with the dynamic nature of this research, many useful references have been added to develop a deeper understanding for the Price: $ Fuzzy set theory--and its applications | H -J Zimmermann | download | B–OK.

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Click Download or Read Online button to get fuzzy set theory and its applications book now. This site is like a library, Use search box in the widget to get ebook that you want. Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines.

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Applications of fuzzy technology can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, robotics, and others/5.

Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and : Springer Netherlands.

Fuzzy Set Theory - And Its Applications, Third Edition is a textbook for courses in fuzzy set theory. It can also be used as an introduction to the subject.

Description Fuzzy set theory and its applications EPUB

The character of a textbook is balanced with the dynamic nature of the research in the field by including many useful references to develop a deeper understanding among interested readers.

Fuzzy set theory—and its applications (3rd ed.) Abstract. No abstract available. Cited By. Ling C, Lu Z, Feng K and Sun B () Efficient numerical simulation methods for estimating fuzzy failure probability based importance measure indices, Structural and Multidisciplinary Optimization,(), Online publication date: 1-Feb.

Fuzzy set theory and its applications. [Hans-Jürgen Zimmermann] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Print book: German: 2., rev.

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ed., 4. printView all editions and formats: Rating: (not yet rated) 0 with reviews - Be the first. Subjects: Fuzzy sets. This book examines fuzzy and intuitionistic fuzzy mathematics and unifies the latest existing works in literature. It enables readers to fully understand the mathematics of both fuzzy set and intuitionistic fuzzy set so that they can use either one in their applications.

Each chapter of Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set. 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. Download Fuzzy Set Theory And Its Applications Ppt pdf.

Download Fuzzy Set Theory And Its Applications Ppt doc. Researchers are fuzzy theory and its applications would be done by clicking the scientific communities in a problem filtering reviews to really needs to do. Opportunity to balance the set theory and applications ppt debut of words to use.

Fuzzy logic uses the fuzzy set theory and approximate reasoning to deal with imprecision and ambiguity in decision-making. 16−19 It provides intuitive, flexible ways to create fuzzy inference systems for solving complex control and classification problems.

For classification applications, fuzzy logic is a process of mapping an input space. Axiomatic fuzzy set theory and its applications Xiaodong Liu, Witold Pedrycz (auth.) In the age of Machine Intelligence and computerized decision making, we have to deal with subjective imprecision inherently associated with human perception and described in natural language and uncertainty captured in the form of randomness.

Study of Fuzzy Set Theory and Its Applications B. Mapari1 Dr. Anjan Naidu2 1 Department of Mathematics, Mamasaheb Mohal College, Paud Road Pune, India, 2Department of Mathematics, B.

Science College Gondiya. Abstract: The purpose of this paper is to study fuzzy sets and their real applications. Also, we study some. Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences.

Unlike most books on this topic, Fuzzy Set Theory: Applications in the Social Sciences provides a systematic. Fuzzy Sets and Fuzzy Logic: Theory and Applications Language: English Pages: Publisher: Prentice Hall; 1st edition ( ) ISBN: Format: PDF / Kindle / ePub Size: MB Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from to the present, this book not only.

Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, robotics and others/5(6).

System Upgrade on Fri, Jun 26th, at 5pm (ET) During this period, our website will be offline for less than an hour but the E-commerce and registration of new users may not be available for up to 4 hours. Abstract—Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision making.

The theory provides a practical approach for extraction of valid rules paper discusses about rough sets and fuzzy rough sets with its applications in data mining that can handle uncertain and. The chapter introduces the general concept of the transformation of defuzzification strategy (DS), which is a mapping from a fuzzy set on a universe of discourse into a designated nonfuzzy or crisp space.

DS plays an ultimately important role in the fuzzy theory and its applications because a crisp control action is required in many cases. In this paper, we present an application of soft set theory (due to Molodtsov in ) in decision making problems that is based on the rough reduction of parameters to keep the optimal choice.Book Description: In recent years it has become apparent that an important part of the theory of Artificial Intelligence is concerned with reasoning on the basis of uncertain, incomplete or inconsistent information.

Classical logic and probability theory are only partially adequate for this, and a variety of other formalisms have been developed. Presently, intuitionistic fuzzy sets are an object of intensive research by scholars and scientists from over ten countries.

This book is the first attempt for a more comprehensive and complete report on the intuitionistic fuzzy set theory and its more relevant applications 5/5(1).