Annotation. 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 human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI, world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems

A New Paradigm of Knowledge Engineering by Soft Computing (Fuzzy Logic Systems Institute (Flsi) Soft Computing Series, Volume 5)

A NEW PARADING OF KNOWLEDGE ENGINEERING BY SOFT COMPUTING

Ding, Liya., Fuzzy Logic Systems Institute, International Conference On Soft Computing (5th : 1998 : Iizuka-shi, Japan)

Japan) International Conference on Soft Computing 1998 (Iizuka-Shi

editor: Liya Ding

Singapore ; River Edge, NJ: World Scientific

World Scientific Publishing Co Pte Ltd

Fuzzy Logic Systems Institute (FLSI) soft computing series -- v. 5, FLSI soft computing series -- v. 5., Singapore, New Jersey, Singapore, 2001

Fuzzy Logic Systems Institute (FLSI) soft computing series, Singapore ; New Jersey, c2001

FLSI soft computing series, Hackensack, April 2001

Obscured text on front cover

Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998.

BIN

xiv, 374 p. : 23 cm
Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998
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

As the title, "A New Paradigm of Knowledge Engineering by Soft Computing", indicates, this book presents works in the intersection of two areas of computer science in the broad sense: knowledge engineering and soft computing.

2024-07-01