Fuzzy logic and soft computing / editors, Bernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh.

Format:

Book

Contributor:

Bouchon-Meunier, B. (Bernadette), 1948-

Yager, Ronald R., 1941-

Zadeh, Lotfi A. (Lotfi Asker)

Series:

Advances in Fuzzy Systems-Applications and Theory

Advances in fuzzy systems ; v. 4

Language:

English

Subjects (All):

Expert systems (Computer science).

Fuzzy sets.

Neural networks (Computer science).

Soft computing.

Physical Description:

1 online resource (509 p.)

Place of Publication:

Singapore ; River Edge, N.J. : World Scientific, c1995.

Language Note:

English

Summary:

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Contents:

PREFACE; CONTENTS; FUZZY LOGIC AND GENETIC ALGORITHMS; EVOLUTIONARY ALGORITHMS FOR FUZZY LOGIC: A BRIEF OVERVIEW; 1 Evolutionary Algorithms; 1.1 Genetic Algorithms; 1.2 Evolution Strategies; 1.3 A Summary of Differences; 2 Evolutionary Algorithms for Fuzzy Logic; 2.1 Optimization of Membership Functions; 2.2 Fuzzy Classifier Systems; 3 Conclusions; References; GENERATING FUZZY RULES FROM EXAMPLES USING GENETIC ALGORITHMS1; 1. Introduction; 2. Fuzzy Rule Structure; 3. Genetic Algorithms; 4. Fuzzy Rule Generating Process; 4.1. Real Coded Genetic Algorithms; 4.1.1. Representation

4.1.2. Formation of an initial population or gene pool4.1.3. Evaluation of individual fitness; 4.1.4. Genetic Operators; 4.2. Covering method; 5. Conclusions; REFERENCES; AUTOMATIC DESIGN OF FUZZY SYSTEMS BY GENETIC ALGORITHMS; 1. Introduction; 2. Automatic Design of a Fuzzy System; 3. Genetic Algorithm; 3.1. Selection; 3.2. The generation of a representative by means of mutation; 3.3. Producing a representative by means of crossing-over; 4. Bit-string representation; 5. Example; 6. Conclusion; REFERENCES; LEARNING; MACHINE LEARNING FROM EXAMPLES UNDER ERRORS IN DATA; 1. Introduction

2. Formulation of the problem3. Weights associated with the attributes; 4. Algorithm; 5. Concluding remarks; REFERENCES; A CONNECTIONIST APPROACH FOR TEMPORAL REASONING; 1. Introduction; 2. Outline of the connectionst inference engine; 3. Outline of our method; 3.1. Truth values over temporal intervals; 3.2. Relaxation on admissible temporal intervals; 4. Knowledge representation and search strategy; 5. Logical mechanism; 6. Conclusion; A LEARNING PROCEDURE TO IDENTIFY WEIGHT OF RULES USING NETWORKS*; 1 Introduction; 2 Discussion of the problem; 3 The Identification procedure

3.1 Identification of the Intermediate system.3.2 Net topology; 3.3 Training models; 4 Example; 4.1 Training the network.; 4.2 Obtaining the system based on rules.; 5 Concluding Remarks; REFERENCES; A PROPOSAL OF IMPLICIT KNOWLEDGE ACQUISITION BY F-CBR; 1. Introduction; 2. Design Concepts of FLINS; 2.1 Text-Based Architecture; 2.1.1 Case-based Structure and Text-Base[2]; 2.1.2 Semantic and Procedural Primitives; 2.2 Fuzzy Centered Architecture; 3. Overview of Fuzzy Case-Based Reasoning; 3.1 Fuzzy Case-Based Reasoning; 3.2 Fuzzy Analogy-Based Reasoning

3.2.1 Defining Analogy-Based Reasoning(ABR) by an Example3.2.2 Treatment of Fuzziness in Predicates; 4. The Problem of Human-Computer Communication; 4.1 Handling Misinterpretations Between Humans; 4.2 Handling Misinterpretations Between a System and a User; 5. Implicit Knowledge Acquisition by F-CBR; 5.1 Needs; 5.2 Basic Concept; 5.3 Studies; 6. Conclusion; REFERENCES; SEMANTICS OF FUZZINESS REDUCTION COMBINATION FUNCTION AND LEARNING OF THE PARAMETERS; 1. Introduction; 2. Overview of the Fuzziness Reduction Combination Function [10]; 2.1. Fuzziness of Fuzzy Set

2.2. Problems with a Combination Function

Notes:

Description based upon print version of record.

Includes bibliographical references.

ISBN:

9789812830753

9812830758