Title :
Generalized fuzzy entropy and its applications
Author :
Min, Yao ; Sen, Zhang
Author_Institution :
Dept. of Comput. Sci., Hangzhou Univ., China
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770832
