DocumentCode
1711078
Title
Fuzzy entropy: a brief survey
Author
Al-Sharhan, S. ; Karray, F. ; Gueaieb, W. ; Basir, O.
Author_Institution
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1135
Lastpage
1139
Abstract
This paper presents a survey about different types of fuzzy information measures. A number of schemes have been proposed to combine the fuzzy set theory and its application to the entropy concept as a fuzzy information measurements. The entropy concept, as a relative degree of randomness, has been utilized to measure the fuzziness in a fuzzy set or system. However, a major difference exists between the classical Shannon entropy and the fuzzy entropy. In fact while the later deals with vagueness and ambiguous uncertainties, the former tackles probabilistic uncertainties (randomness)
Keywords
entropy; fuzzy set theory; information theory; Shannon entropy; fuzziness; fuzzy entropy; fuzzy information measures; fuzzy set theory; randomness; vagueness; Decision making; Design engineering; Engines; Entropy; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Information theory; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1008855
Filename
1008855
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