Results 161 to 170 of about 2,585 (219)

Fuzzy number fuzzy measures and fuzzy integrals. (I). Fuzzy integrals of functions with respect to fuzzy number fuzzy measures

Fuzzy Sets and Systems, 1998
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Congxin Wu, Deli Zhang, Caimei Guo, Cong Wu 0001   +3 more
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The Fuzziness Measure in Fuzzy Rough Sets

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
The paper studies the fuzziness measure in fuzzy rough sets. By making use of the support set of fuzzy sets, a rough membership function for fuzzy sets based on fuzzy relation is introduced. Simultaneously, a fuzziness measure of fuzzy rough sets from total mean fuzzy degree is proposed.
Yue-Jin Lv, Hongyun Zhang, Zhi-cheng Chen   +2 more
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A fuzziness measure for fuzzy numbers: Applications

Fuzzy Sets and Systems, 1998
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Miguel Delgado 0001, Maria-Amparo Vila, William Voxman   +2 more
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On measures of fuzziness

Fuzzy Sets and Systems, 1989
We present a characterization of a fuzzy entropy which is formally analogous to the information theoretical Shannon entropy.
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Measuring fuzzy uncertainty

IEEE Transactions on Fuzzy Systems, 1994
First, this paper reviews several well known measures of fuzziness for discrete fuzzy sets. Then new multiplicative and additive classes are defined. We show that each class satisfies five well-known axioms for fuzziness measures, and demonstrate that several existing measures are relatives of these classes.
Nikhil R. Pal, James C. Bezdek
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On the Fuzzy Measures and the Measures of Fuzziness for L-Fuzzy Sets

IFAC Proceedings Volumes, 1983
Abstract This paper is based on the results of De Luca and Termini [1.2] and Wang (6,7,8). It includes the following three parts, (l) We extend the fuzzy integrals taking value in the unit inteval (0,1) to a fuzzy integrals taking value in a lattice.
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Fuzzy coherence measures

International Journal of Intelligent Systems, 2005
Summary: Coherence measures are a tool to compare those fuzzy sets that are sensitive to their own similarity as well as to their fuzzy nature. In this article we find three generalizations of the definition of coherence measures: a first one for any fuzzy set, a second one for any definition of strong negation, and a final one for an extension in ...
Alejandro Sancho-Royo, José L. Verdegay
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Measures of fuzzy sets and measures of fuzziness

Fuzzy Sets and Systems, 1984
Denote \((\Omega,{\mathcal B})\) a measurable space. Let M be a positive real number or infinity. Consider the segment \([0,M]\) and a binary operation \(\perp\) defined on [0,M]. The operation \(\perp\) is supposed to be non- decreasing in each argument, commutative, associative and has 0 as unit.
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Divergence and fuzziness measures

Soft Computing, 2000
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BENVENUTI, Pietro, VIVONA, Doretta, M. DIVARI   +2 more
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Fuzzy morphology and fuzzy convexity measures

Proceedings of 13th International Conference on Pattern Recognition, 1996
This study results in a very general class of approximate convex measures for objects on grey-tone images. These measures are referred to as convexity indicators. They are based on fuzzy set theory, more precisely, on the fuzzy inclusion indicators defined by Sinha and Dougherty (1993). Consideration is given to the fuzzy morphological operations which
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