DocumentCode
2329645
Title
Measures of fuzziness and entropy of fuzzy information
Author
Xiaoshu, Hang ; Fanlun, Xiong
Author_Institution
Inst. of Intelligent Machines, Acad. Sinica, Hefei, China
Volume
4
fYear
2000
fDate
2000
Firstpage
2448
Abstract
Vagueness of knowledge results from the imprecision and uncertainty of knowledge. In fuzzy theory, much attention has being paid to the measure of fuzziness of a fuzzy subset, while entropy, as a measure of uncertainty, plays a significant role in the field of information theory. The paper discusses, when there is or not a probability distribution on the non-empty definite universe U, the measure of fuzziness and entropy of a fuzzy subset and the conditional fuzzy entropy of a fuzzy subset, when there exists additional probability information and fuzzy information
Keywords
entropy; fuzzy set theory; probability; conditional fuzzy entropy; entropy measure; fuzziness; fuzziness measure; fuzzy information; fuzzy subset; imprecision; nonempty definite universe; probability distribution; uncertainty; Entropy; Information theory; Machine intelligence; Measurement uncertainty; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862480
Filename
862480
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