Title :
Measures of fuzziness and entropy of fuzzy information
Author :
Xiaoshu, Hang ; Fanlun, Xiong
Author_Institution :
Inst. of Intelligent Machines, Acad. Sinica, Hefei, China
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862480
