Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-15T09:33:18.747Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access Rights & Permissions [Opens in a new window]

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.

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)