Overview

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.

Full Product Details

Author:   Liya Ding (Nus, S'pore)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   5
Dimensions:   Width: 15.60cm , Height: 4.10cm , Length: 23.00cm
Weight:   0.685kg
ISBN:  

9789810245177

ISBN 10:   9810245173
Pages:   388
Publication Date:   12 March 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Knowledge engineering and soft computing - an introduction, L.-Y. Ding. Part 1 Fuzzy knowledge-based systems: linguistic integrity - a framework for fuzzy modelling, AFRELI algorithm, J. Espinosa and J. Vandewalle; a new approach to acquisition of comprehensible fuzzy rules, H. Ohno and T. Furuhashi; fuzzy rule generation with fuzzy singleton-type reasoning method, Y. Shi and M. Mizumoto; antecedent validity adaptation principle for table look-up scheme, P.-T. Chan and A.B. Rad; fuzzy spline interpolation in sparse fuzzy rule bases, M.F. Kawaguchi and M. Miyakoshi; revision principles applied for approximate reasoning, L.-Y. Ding et al; handling null queries with compound fuzzy attributes, S.-L. Wang and Y.-J. Tsai; fuzzy system description language, K. Otsuka et al. Part 2 Knowledge representation, integration and discovery by soft computing: knowledge representation and similarity measures in learning a vague legal concept, M.Q. Xu et al; trend fuzzy sets and recurrent fuzzy rules for ordered dataset modelling, J.F. Baldwin et al; approaches to the design of classification systems from numerical data and linguistic knowledge, H. Ishibuchi et al; a clustering based on self-organizing map and knowledge discovery by neural network, K. Nakagawa et al; probabilistic rough induction, J.-Z. Dong et al; data mining via linguistic summaries of databases - an interactive approach, J. Kacprzyk and S. Zadrozny. (Part contents).

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