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Uniform integrability of fuzzy variable sequences

机译:模糊变量序列的一致可积性

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摘要

A fuzzy variable is a measurable function from a possibility measure space to a set of real numbers. It is a useful tool to describe the fuzziness of phenomena in a decision making process. In this paper, we focus on investigating the properties of sequences of fuzzy variables. The concepts of uniform integrability, uniform absolute continuity and uniform boundedness are introduced for fuzzy variable sequences, and then the relations among them are discussed. As the applications of these concepts, we also present several convergence theorems for sequences of fuzzy variables by using uniform integrability. Specifically, the relations between uniform integrability and convergence properties, such as convergence in measure, convergence in mean, and convergence almost surely, are discussed.
机译:模糊变量是从可能性度量空间到一组实数的可测量函数。它是描述决策过程中现象的模糊性的有用工具。在本文中,我们专注于研究模糊变量序列的性质。介绍了模糊变量序列的一致可积性,一致绝对连续性和一致有界性的概念,并讨论了它们之间的关系。作为这些概念的应用,我们还通过使用统一可积性给出了模糊变量序列的几个收敛定理。具体而言,讨论了均匀可积性与收敛性之间的关系,例如度量收敛,均值收敛和几乎确定的收敛。

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