&lt;title&gt;Fuzzy concept formation&lt;/title&gt;

James Powell; Lawrence Hall

doi:10.1117/12.56882

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JOURNAL ARTICLE

<title>Fuzzy concept formation</title>

James Powell Lawrence Hall

Year: 1992 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1707 Pages: 160-167 Publisher: SPIE

DOI: 10.1117/12.56882

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Abstract

This paper presents an extension to the COBWEB conceptual clustering algorithm. The extension is designed to allow for nonmutually exclusive examples to be clustered. It is also designed to allow for fuzzy examples to be clustered, which has the side effect of putting examples into more than one cluster or class. A discussion of some related work and an ideal fuzzification are presented. Preliminary results are shown with one fuzzy data set on creditworthiness.

Keywords:

Extension (predicate logic) Fuzzy logic Fuzzy set Class (philosophy) Computer science Ideal (ethics) Cluster analysis Set (abstract data type) Data mining Fuzzy clustering Cluster (spacecraft) Theoretical computer science Artificial intelligence Programming language

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Topics

Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

<title>Fuzzy concept formation</title>

Abstract

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