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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;
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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as;
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Fuzzy Information Measures with Applications
FUZZY INFORMATION MEASURES WITH APPLICATIONS consists from chapters 1 to 8 deals with fuzzy sets theory including fuzzy sets and operations;
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Uncertain Rule-Based Fuzzy Systems
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.e., type-2;
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Multiple Fuzzy Classification Systems
and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set;
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Fuzzy Information Processing
, including theory and applications of fuzzy numbers and sets, fuzzy logic, fuzzy inference systems, fuzzy clustering, fuzzy pattern classification;
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Fuzzy Control Systems
concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general;
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Fuzzy Systems Engineering
, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical;
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Fuzzy Differential Equations in Various Approaches
This book may be used as reference for graduate students interested in fuzzy differential equations and researchers working in fuzzy sets;
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Fuzzy Sets, Fuzzy Logic, Applications
Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature;
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Rough Sets and Current Trends in Computing
carefully reviewed and selected from 120 submissions. They are organized in topical sections such as fuzzy logic and rough set: tools for imperfect;
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Fuzzy Expert Systems And Fuzzy Reasoning
Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well;
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Biological Models via Interval Type-2 Fuzzy Sets
This book offers a gentle introduction to type-2 fuzzy sets and, in particular, interval type-2 fuzzy sets and their application;
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Analysis and Synthesis of Fuzzy Control Systems
Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;
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Analysis and Synthesis of Fuzzy Control Systems
Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;
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Learning Systems: From Theory to Practice
By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations;
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Advanced Fuzzy Logic Approaches in Engineering Science
problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and;
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Fuzzy Systems to Quantum Mechanics
This unique compendium represents important action of fuzzy systems to quantum mechanics. From fuzzy sets to fuzzy systems, it also gives;
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Pattern Classification
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different;
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An Introduction to Fuzzy Sets
The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide;
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Fuzzy Lie Algebras
This book explores certain structures of fuzzy Lie algebras, fuzzy Lie superalgebras and fuzzy n-Lie algebras. In addition, it applies;
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A Learner's Guide to Fuzzy Logic Systems, Second Edition
concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets;
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Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives
in Poland but also at the European level; andthe Seventeenth International Workshop on Intuitionistic Fuzzy Sets and General Nets, IWIFSGN-2018, one;
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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this;
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Fuzzy Set and Its Extension
examines fuzzy and intuitionistic fuzzy mathematics and unifies the latest existing works in literature. It enables readers to fully understand the;
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An Essential Guide to Fuzzy Systems
and vague situations. As a result a series of extensions and generalizations of the ordinary fuzzy set followed and several theories have been;
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Einde inhoud
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