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Title A new paradigm of knowledge engineering by soft computing / editor, Liya Ding
Published Singapore ; River Edge, NJ : World Scientific, [2001]
©2001
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Description 1 online resource (xiv, 374 pages) : illustrations
Series Fuzzy Logic Systems Institute (FLSI) soft computing series ; v. 5
FLSI soft computing series ; v. 5
Contents Machine generated contents note: Chapter 1 Knowledge Engineering and Soft Computing -An Introduction1 -- Liya Ding -- Part I: Fuzzy Knowledge-Based Systems -- Chapter 2 Linguistic Integrity: A Framework for Fuzzy Modeling -- -- AFRELI Algorithm15 -- Jaito Espinosa, Joos Vandewalle -- Chapter 3 A New Approach to Acquisition of Comprehensible -- Fuzzy Rules43 -- Hiroshi Ohno, Takeshi Furuhashi -- Chapter 4 Fuzzy Rule Generation with Fuzzy Singleton-Type -- Reasoning Method59 -- Yan Shi, Masaharu Mizumoto -- Chapter 5 Antecedent Validity Adaptation Principle for Table -- Look-Up Scheme 77 -- Ping-Tong Chan, Ahmad B. Rad -- Chapter 6 Fuzzy Spline Interpolation in Sparse Fuzzy Rule Bases 95 -- Mayuka E Kawaguchi, Masaaki Miyakoshi -- Chapter 7 Revision Principle Applied for Approximate Reasoning121 -- Liya Ding, Peizhuang Wang, Masao Mukaidono -- Chapter 8 Handling Null Queries with Compound Fuzzy Attributes149 -- Shyue-Liang Wang, Yu-Jane Tsai -- Chapter 9 Fuzzy System Description Language163 -- Kazuhiko Otsuka, Yuichiro Mori, Masao Mukaidono -- Part II: Knowledge Representation, Integration, and Discovery by -- Soft Computing -- Chapter 10 Knowledge Representation and Similarity Measure in -- Learning a Vague Legal Concept189 -- MingQiang Xu, Kaoru Hirota, Hajime Yoshino -- Chapter 11 Trend Fuzzy Sets and Recurrent Fuzzy Rules for Ordered -- Dataset Modelling213 -- Jim E Baldwin, Trevor P Martin, Jonathan M. Rossiter -- Chapter 12 Approaches to the Design of Classification Systems from -- Numerical Data and Linguistic Knowledge241 -- Hisao Ishibuchi, Manabu Nii, Tomoharu Nakashima -- Chapter 13 A Clustering based on Self-Organizing Map and Knowledge -- Discovery by Neural Network273 -- Kado Nakagawa, Naotake Kamiura, Yutaka Hata -- Chapter 14 Probabilistic Rough Induction297 -- Juzhen Dong, Ning Zhong, Setsuo Ohsuga -- Chapter 15 Data Mining via Linguistic Summaries of Databases: An -- Interactive Approach325 -- Janusz Kacprzyk, Slavomir Zadrozny -- About the Authors347 -- Keyword Index369
Summary 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
Notes Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Expert systems (Computer science) -- Congresses.
Fuzzy systems -- Congresses.
Soft computing -- Congresses.
Genre/Form Conference papers and proceedings.
Conference papers and proceedings.
Form Electronic book
Author Ding, Liya.
Fuzzy Logic Systems Institute.
International Conference on Soft Computing (5th : 1998 : Iizuka-shi, Japan)
ISBN 9789812794604 (electronic bk.)
9812794603 (electronic bk.)