The role of properties of the membership function in construction of fuzzy sets ranking

A. Ameljanczyk
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Abstract

The paper presents a several new definitions of concepts regarding the properties of fuzzy sets in the aspect of their use in decision support processes. These are concepts such as the image and counter – image of the fuzzy set, the proper fuzzy set, the fuzzy support and the ranking of fuzzy set. These concepts can be important in construction decision support algorithms. Particularly a lot of space was devoted to the study of the properties of membership function of the fuzzy set as a result of operations on fuzzy sets. Two additional postulates were formulated that should be fulfilled by the membership function product of fuzzy sets in decision making.
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隶属函数的性质在模糊集排序构造中的作用
本文从模糊集在决策支持过程中的应用出发,对模糊集的性质给出了几个新的概念定义。这些概念包括模糊集的图像和反图像、适当模糊集、模糊支持度和模糊集的排序等。这些概念在构建决策支持算法中非常重要。特别是用大量的篇幅研究了模糊集上的运算所产生的模糊集隶属函数的性质。提出了模糊集的隶属函数积在决策中必须满足的两个附加前提。
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