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Fuzzy entropy: a brief survey

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4 Author(s)
Al-Sharhan, S. ; Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada ; Karray, F. ; Gueaieb, W. ; Basir, O.

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)

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Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

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