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BL
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| Record Number
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946624
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| Doc. No
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b700994
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| Title & Author
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A new paradigm of knowledge engineering by soft computing /\ editor, Liya Ding.
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| Publication Statement
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Singapore ;River Edge, NJ :: World Scientific,, ©2001.
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| Series Statement
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Fuzzy Logic Systems Institute (FLSI) soft computing series ;; v. 5
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| Page. NO
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1 online resource (xiv, 374 pages) :: illustrations
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| ISBN
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9789812794604
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: 9812794603
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9789810245177
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9810245173
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| Notes
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Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998.
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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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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| 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.
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| Subject
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Expert systems (Computer science), Congresses.
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Fuzzy systems, Congresses.
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Soft computing, Congresses.
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Informatique douce.
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Systèmes experts (Informatique)
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Systèmes flous.
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COMPUTERS-- Enterprise Applications-- Business Intelligence Tools.
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COMPUTERS-- Intelligence (AI) Semantics.
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Expert systems (Computer science)
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Fuzzy systems.
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Soft computing.
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| Dewey Classification
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006.3
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| LC Classification
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QA76.9.S63N655 2001eb
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| Added Entry
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Ding, Liya.
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| Added Entry
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Fuzzy Logic Systems Institute.
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International Conference on Soft Computing(5th :1998 :, Iizuka-shi, Japan)
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