Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7624
Title: Soft case-based reasoning
Authors: Cheetham, W
Shiu, CKS 
Weber, RO
Keywords: Evolutionary algorithms
Fuzzy sets
Neural networks
Probabilistic logics
Issue Date: Sep-2005
Publisher: Cambridge University Press
Source: Knowledge engineering review, Sep. 2005, v. 20, no. 3, p. 267-269 How to cite?
Journal: Knowledge engineering review 
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.
URI: http://hdl.handle.net/10397/7624
ISSN: 0269-8889 (print)
1469-8005 (EISSN)
DOI: 10.1017/S0269888906000579
Rights: © 2006 Cambridge University Press.
The following article "WILLIAM CHEETHAM, SIMON SHIU and ROSINA O. WEBER (2005). Soft case-based reasoning. The Knowledge Engineering Review, 20, pp 267-269. doi:10.1017/S0269888906000579." is available at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=435249.
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