The relation between fuzzy soft set and integrative fuzzy set

Yi Jiang, Hailiang Zhao, Junxuan He
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引用次数: 0

Abstract

Fuzzy set can be divided into single parameter or multi-parameter's ones with which to depict their fuzzy attributes. In references, it is usual defined in a single parameter universe and yet multi-parameter's ones often appears in so-called fuzzy relation. Fuzzy soft set can be used to describe a fuzzy object by aggregating fuzzy parameters in different attributes. Fuzzy set can be employed to do the same things. It can be concluded that there must be a certain relation between the two concepts. And to give the relation, integrative fuzzy set is proposed in this paper. And which can be decomposed into a fuzzy soft set under certain condition. Fuzzy soft set also can be translated into an integrative fuzzy set by some operator. Both of them can be used for decision-making. Theoretical analysis and examples show the optimal decision-making results are equivalent.
模糊软集与综合模糊集的关系
模糊集可以分为单参数集和多参数集,用来描述它们的模糊属性。在参考文献中,它通常定义在单参数范围内,而多参数范围往往以所谓的模糊关系出现。模糊软集通过对不同属性的模糊参数进行聚合来描述一个模糊对象。模糊集可以用来做同样的事情。可以得出结论,这两个概念之间一定存在某种联系。为了给出二者之间的关系,本文提出了模糊集的概念。在一定条件下可分解为模糊软集。模糊软集也可以通过某种算子转化为一个积分模糊集。两者都可以用于决策。理论分析和算例表明,最优决策结果是等价的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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