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Soft case-based reasoning

Published online by Cambridge University Press:  08 May 2006

WILLIAM CHEETHAM ,
SIMON SHIU  and
ROSINA O. WEBER
WILLIAM CHEETHAM
Affiliation:
General Electric Global Research, 1 Research Circle, Niskayuna, NY 12309, USA; e-mail: cheetham@research.ge.com
SIMON SHIU
Affiliation:
Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China; e-mail: csckshiu@comp.polyu.edu.hk
ROSINA O. WEBER
Affiliation:
College of Information Science & Technology, Drexel University, Philadelphia, PA 19104, USA; e-mail: rosina.weber@drexel.edu
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Abstract

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The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft computing techniques.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 20 , Issue 3 , September 2005 , pp. 267 - 269
Copyright
2006 Cambridge University Press