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Proceedings Paper

Fuzzy concept formation
Author(s): James Powell; Lawrence O. Hall
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Paper 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.

Paper Details

Date Published: 1 March 1992
PDF: 8 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56882
Show Author Affiliations
James Powell, Univ. of South Florida (United States)
Lawrence O. Hall, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

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