Fuzzy Reasoning in Information, Decision and Control Systems

by S.G. Tzafestas (Editor), Anastasios N. Venetsanopoulos (Editor)

Overview

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert systems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into information processing systems.

Product Details

ISBN-13:	9789401740821
Publisher:	Springer Netherlands
Publication date:	03/24/2013
Series:	Intelligent Systems, Control and Automation: Science and Engineering , #11
Edition description:	Softcover reprint of the original 1st ed. 1994
Pages:	568
Product dimensions:	6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

General Issues.- Fuzzy Sets and Fuzzy Reasoning: An Introduction.- On The Validation of Fuzzy Knowledge Bases.- Software Representation of Fuzzy Sets and Logic.- Fuzzy Dynamic Systems: Analysis, Control and Identification.- Neuro-Fuzzy Systems.- Neural Net Applications in Fuzzy Systems.- Neuro-Fuzzy Expert Systems: Overview with a Case Study.- Fuzzy Reasoning Through A General Neural Network Model.- Fuzzy Controllers.- Demystification of Fuzzy Control.- Analysis, Design, Implementation and Critical Appreciation of Fuzzy Logic Controller.- Fuzzy Controller Design: A Sliding Mode Approach.- Multivariable Fuzzy Sliding Mode Control by Using a Simplex of Control Vectors.- Knowledge Representation and Information Processing in Intelligent Controllers.- Fuzzy Reasoning and Estimation Methodologies.- Fuzzy Parameter and State Estimation.- A Fuzzy Reasoning Methodology for Rule-Based Systems.- Computing the Multivalued Shape of a Pattern Class.- Applications.- Robotic Control Using Fuzzy Logic and Parallel Processing.- Fuzzy Control of Robotic Manipulators and Mechanical Systems.- Fuzzy Control for Robot Manipulators with Artificial Rubber Muscles.- Fuzzy Petri Nets and Applications.- Fuzzy Logic-Based Tools for the Acquisition and Representation of Knowledge in Biomedical Applications.- Fuzzy Logic Design of a Nondestructive Robotic Fruit Collector.

Editorial Reviews

Contributions by 34 authors are grouped into five sections: background material and techniques for validating fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic; an overview of neuro-fuzzy expert systems along with a case study and a neural network model suitable for fuzzy reasoning; fuzzy controller design and implementation; fuzzy parameter and state estimation; and applications. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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