Soft case-based reasoning

Authors:
William Cheetham;Simon Shiu;Rosina O. Weber
Affiliations:
General Electric Global Research, 1 Research Circle, Niskayuna, NY 12309, USA/ e-mail: cheetham&commat/research.ge.com;Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China/ e-mail: csckshiu&commat/comp.polyu.edu.hk;College of Information Science & Technology, Drexel University, Philadelphia, PA 19104, USA/ e-mail: rosina.weber&commat/drexel.edu
Venue:
The Knowledge Engineering Review
Year:
2005

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Abstract

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.