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Classifying through a fuzzy algebraic structure

delete1996-03-01
delete7
PRE
AI
A
Antonio Gisolfi *
F
Ferdinando Cicalese
DOI：10.1016/0165-0114(96)84612-4delete
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Abstract

Abstract

En 中文
The properties of a fuzzy algebraic structure are investigated and the existence and uniqueness of the operators for the elements of the structure is formally proved. Afterwards the problem of generating appropriate classifications in a universe of discourse in which the characteristics of the elements are defined through attributes whose values are linguistic labels is analyzed and a method based on the fuzzy structure is introduced. A simple example is used to show how the new method works and results are compared to the ones given on the same data set by better-known clustering algorithm, in order to prove feasibility. Finally, an application of the fuzzy clustering in the context of a real medical diagnosis will be shown and main features of the method discussed.
Keywords:
fuzzy
operators
cluster analysis
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Journal

Fuzzy Sets and Systems cover
Fuzzy Sets and Systems
IF:
2.7
Papers:
7.6K
Citations:
1.5W

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