Fuzzy Logic Systems Institute (FLSI) soft computing series ;
Volume Designation
v. 5
GENERAL NOTES
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Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index.
CONTENTS NOTE
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Series Editor's Preface ; Volume Editor's Preface ; Chapter 1 Knowledge Engineering and Soft Computing -- An Introduction ; Part I: Fuzzy Knowledge-Based Systems ; Chapter 2 Linguistic Integrity: A Framework for Fuzzy Modeling -- AFRELI Algorithm ; Chapter 3 A New Approach to Acquisition of Comprehensible Fuzzy Rules
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Chapter 11 Trend Fuzzy Sets and Recurrent Fuzzy Rules for Ordered Dataset Modelling Chapter 12 Approaches to the Design of Classification Systems from Numerical Data and Linguistic Knowledge ; Chapter 13 A Clustering based on Self-Organizing Map and Knowledge Discovery by Neural Network
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Chapter 14 Probabilistic Rough Induction Chapter 15 Data Mining via Linguistic Summaries of Databases:An Interactive Approach ; About the Authors ; Keyword Index
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Chapter 4 Fuzzy Rule Generation with Fuzzy Singleton-Type Reasoning Method Chapter 5 Antecedent Validity Adaptation Principle for Table Look-Up Scheme ; Chapter 6 Fuzzy Spline Interpolation in Sparse Fuzzy Rule Bases ; Chapter 7 Revision Principle Applied for Approximate Reasoning
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Chapter 8 Handling Null Queries with Compound Fuzzy Attributes Chapter 9 Fuzzy System Description Language ; Part II: Knowledge Representation, Integration and Discovery by Soft Computing; Chapter 10 Knowledge Representation and Similarity Measure in Learning a Vague Legal Concept
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SUMMARY OR ABSTRACT
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Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic hum.
OTHER EDITION IN ANOTHER MEDIUM
Title
New paradigm of knowledge engineering by soft computing.
International Standard Book Number
9789810245177
TOPICAL NAME USED AS SUBJECT
Expert systems (Computer science), Congresses.
Fuzzy systems, Congresses.
Soft computing, Congresses.
Informatique douce.
Systèmes experts (Informatique)
Systèmes flous.
COMPUTERS-- Enterprise Applications-- Business Intelligence Tools.
COMPUTERS-- Intelligence (AI) & Semantics.
Expert systems (Computer science)
Fuzzy systems.
Soft computing.
(SUBJECT CATEGORY (Provisional
COM-- 004000
COM-- 005030
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3
Edition
22
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
9
.
S63
Book number
N655
2001eb
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Ding, Liya.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
Fuzzy Logic Systems Institute.
International Conference on Soft Computing(5th :1998 :, Iizuka-shi, Japan)