DocumentCode
2966298
Title
Some properties and new formulae of fuzzy entropy
Author
Qing, Ming ; Li, Tian-nti
Author_Institution
Dept. of Math., Southwest Jiaotong Univ., Chengdu, China
Volume
1
fYear
2004
fDate
21-23 March 2004
Firstpage
401
Abstract
The measure of uncertainty is adopted as a measure of information. The measures of fuzziness are known as fuzzy information measures. The measure of a quantity of fuzzy information gained from a fuzzy set or fuzzy system is known as fuzzy entropy. Fuzzy entropy has been focused and studied by many researchers in various fields. In this paper, the definition of fuzzy entropy is firstly introduced. Then some important fuzzy entropy formulae are given and some properties among them are discussed. Finally, a class of new fuzzy entropy formulae is presented. They will provide more choice for engineers to analyze and design a fuzzy system.
Keywords
entropy; fuzzy set theory; fuzzy systems; fuzzy entropy formulae; fuzzy information measures; fuzzy set; fuzzy system; uncertainty measurement; Design engineering; Entropy; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Gain measurement; Mathematics; Measurement uncertainty; System analysis and design;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2004 IEEE International Conference on
ISSN
1810-7869
Print_ISBN
0-7803-8193-9
Type
conf
DOI
10.1109/ICNSC.2004.1297471
Filename
1297471
Link To Document