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Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis

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2 Author(s)
Kaoru Hirota ; Department of Instrument and Control Engineering, College of Engineering, Hosei University, Kajino-cho 3-7-2, Koganei-city, Tokyo 184, Japan ; Witold Pedrycz

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.

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IEEE Transactions on Systems, Man, and Cybernetics  (Volume:16 ,  Issue: 1 )