DocumentCode
2870605
Title
Generalized fuzzy entropy and its applications
Author
Min, Yao ; Sen, Zhang
Author_Institution
Dept. of Comput. Sci., Hangzhou Univ., China
Volume
2
fYear
1998
fDate
1998
Firstpage
1197
Abstract
Fuzzy entropy is the measure of fuzziness in a fuzzy set. This paper proposes a kind of generalized fuzzy entropy which may describe various kinds of fuzzy entropy, and discusses its guidance functions in the design of fuzzy neural network classifiers
Keywords
entropy; fuzzy set theory; neural nets; pattern classification; fuzzy neural network classifiers; fuzzy set; fuzzy set theory; generalized fuzzy entropy; guidance functions; Application software; Computer science; Entropy; Fuzzy control; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Neural networks; Software measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770832
Filename
770832
Link To Document