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
Link To Document :
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