Load frequency control of a PV-DSTS integrated thermal-hydro power system using a CCSA-optimized fuzzy fractional-order parallel controller. [PDF]
Satapathy P +7 more
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A tendency coefficient-driven Pythagorean fuzzy distance approach for selection problems in higher education and medical waste management. [PDF]
Ejegwa PA +4 more
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Integrating fuzzy logic and neural networks with multi-criteria decision-making for intelligent evaluation of drug compound design attributes. [PDF]
Ahmed W +4 more
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A fuzzy clustering approach to understanding religious and socioeconomic determinants of public perceptions of environmental regulation in the United States. [PDF]
Martín JC, Indelicato A.
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Fuzzy measures defined by addition of fuzzy measures
2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016Given a measurable space (X, A) and two fuzzy measures μ 1 and μ2 defined on A, the addition of μ 1 and μ2 determines another set function on A. Such a new set function is a fuzzy measure, too. We shall discuss the relation between the new fuzzy measure and the original fuzzy measures. We shall see that the new fuzzy measure preserves some structural
Xiaoli Hu +3 more
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A possibility measure is not a fuzzy measure
Fuzzy Sets and Systems, 1982In the case of metric spaces without isolated points the authors show that every possibility measure with a continuous non vanishing 'density' is not a fuzzy measure. This result is not very surprising, but it corrects a claim mentioned by the way in the literature.
Puri, Madan L., Ralescu, Dan
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Congxin Wu +3 more
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The Fuzziness Measure in Fuzzy Rough Sets
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008The 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 +2 more
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On the Entropy of Fuzzy Measures
IEEE Transactions on Fuzzy Systems, 2000Fuzzy measures provides a structure for modeling the knowledge available about variables whose values are unknown and uncertain. A large class of different types of uncertainty can be represented in this framework. In this work, we provide a measure of entropy that can be used to calculate the amount of uncertainty associated with a fuzzy measure.
R R Yager
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