Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

Kaoru Hirota, Witold Pedrycz

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The results of different fuzzy clustering algorithms are dealt with collectively in a formal framework of probabilistic set theory in order to interpret the structure of data. Special attention is paid to calculation of entropy of the fuzzy clusters detected by various grouping methods. Two numerical examples illustrate applicability of the proposed way of cluster evaluation.

Original languageEnglish
Pages (from-to)173-179
Number of pages7
JournalIEEE Transactions on Systems, Man and Cybernetics
Volume16
Issue number1
DOIs
Publication statusPublished - 1986
Externally publishedYes

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