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Research on Fuzzy Order Variable Precision Rough Set Over Two Universes and Its Uncertainty Measures

机译:两个宇宙上的模糊阶变精度粗糙集及其不确定性度量的研究

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Aiming at the problem that the U×V-type double-domain rough set can’t deal with fuzzy data in the past, this paper firstly established the variable precision rough set model on the basis of U×V-type double-domain rough set,and made an in-depth study on the upper approximation set and the lower approximation set of this model.Then the variable precision rough set model of U×V-type double-domain fuzzy order information system is established by introducing the U×V-type double-domain fuzzy dominance relation, and its related properties are discussed.The uncertainty measures are studied by defining the U×V-type double-domain fuzzy order precision rough set roughness and rough entropy. The conclusions are that as the precision threshold increases, its roughness and roughness entropy decrease gradually. These conclusions are verified by an example, which provides a theoretical basis for further revealing the uncertainty measure law of U×V-type double-domain fuzzy order variable precision rough set.
机译:针对以往U×V型双域粗糙集不能处理模糊数据的问题,本文首先基于U×V型双域粗糙集建立了变精度粗糙集模型。集,并对该模型的上逼近集和下逼近集进行了深入研究。然后,通过引入U×,建立了U×V型双域模糊阶信息系统的变精度粗糙集模型。讨论了V型双域模糊优势关系及其相关性质。通过定义U×V型双域模糊阶精度粗糙集粗糙度和粗糙熵,研究了不确定性措施。结论是,随着精度阈值的增加,其粗糙度和粗糙度熵逐渐减小。通过实例验证了这些结论,为进一步揭示U×V型双域模糊阶变精度粗糙集的不确定性度量规律提供了理论依据。

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