DocumentCode
1054142
Title
Subjective Entropy of Probabilistic Sets and Fuzzy Cluster Analysis
Author
Hirota, Kaoru ; Pedrycz, Witold
Author_Institution
Department of Instrument and Control Engineering, College of Engineering, Hosei University, Kajino-cho 3-7-2, Koganei-city, Tokyo 184, Japan
Volume
16
Issue
1
fYear
1986
Firstpage
173
Lastpage
179
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.
Keywords
Automatic control; Digital control; Electrical equipment industry; Entropy; Fault diagnosis; Fuzzy sets; Industrial control; MIMO; Parameter estimation; Transfer functions;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/TSMC.1986.289297
Filename
4075592
Link To Document