FuzzyEn Compared to SampEn for Evaluation of Dynamic Complexity. [PDF]
Liu X, Su M, Yao W, Dong Y.
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Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information. [PDF]
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Advancing physical fitness evaluation in colleges using a spherical fuzzy FUCA integrated decision support framework. [PDF]
Xie X, Bai B, Li T.
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Microscopic image enhancement for accurate sickle cell disease identification using intuitionistic fuzzy driven retinex. [PDF]
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Fuzzy Probabilistic Approximation Spaces and Their Information Measures
IEEE Transactions on Fuzzy Systems, 2006Rough set theory has proven to be an efficient tool for modeling and reasoning with uncertainty information. By introducing probability into fuzzy approximation space, a theory about fuzzy probabilistic approximation spaces is proposed in this paper, which combines three types of uncertainty: probability, fuzziness, and roughness into a rough set model.
Qinghua Hu, Jinfu Liu, Zongxia Xie
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On the completeness of fuzzy measure-space
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