Soft case-based reasoning

William Cheetham; Chi Keung Simon Shiu; Rosina O. Weber

doi:10.1017/S0269888906000579

Soft case-based reasoning

William Cheetham
, Chi Keung Simon Shiu
, Rosina O. Weber

Research output: Journal article publication › Review article › Academic research › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	267-269
Number of pages	3
Journal	Knowledge Engineering Review
Volume	20
Issue number	3
DOIs	https://doi.org/10.1017/S0269888906000579
Publication status	Published - 1 Sept 2005

ASJC Scopus subject areas

Software
Artificial Intelligence

More information

10.1017/S0269888906000579

http://hdl.handle.net/10397/7624

Cite this

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AB - 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.

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DO - 10.1017/S0269888906000579

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Soft case-based reasoning

Abstract

ASJC Scopus subject areas

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