Representation of a Crisp Set as a Pair of Dual Fuzzy Sets

G. Sirbiladze, Teimuraz Mandjaparashvili, B. Midodashvili, B. Ghvaberidze, David Mikadze
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Abstract

Expert knowledge representations often fail to determine compatibility levels on all objects, and these levels are represented for a certain sampling of universe. The samplings for the fuzzy terms of the linguistic variable, whose compatibility functions are aggregated according to a certain problem, may also be different. In such a case, neither L.A. Zadeh’s analysis of fuzzy sets and even the dual forms of developing today R.R. Yager’s q-rung orthopair fuzzy sets cannot provide the necessary aggregations. This fact, as a given, can be considered as a source of new types of information, in order to obtain different levels of compatibility according to Zadeh, presented throughout the universe. This source of information can be represented as a pair ⟨A, fA⟩, where there is some crisp subset of the universe A that determines the sampling of objects from the universe, and a function fA determines the compatibility levels of the elements of that sampling. It is a notion of split fuzzy set, constructed in this article, that allows for the semantic representation and aggregation of such information. This notion is again and again based on the notion of Zadeh fuzzy set. In particular, the operation of splitting a crisp subset into dual fuzzy sets is introduced. Definitions of set operations on split dual fuzzy-sets are presented in the paper. The proofs are also presented that follow naturally from definitions and previous results. An example of MADM is presented for illustration of the application of splitting operation.
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清晰集的对偶模糊集表示
专家知识表示通常不能确定所有对象的兼容性级别,并且这些级别表示为特定的宇宙样本。语言变量的模糊项的采样也可能不同,这些模糊项的相容函数是根据某一问题聚合的。在这种情况下,无论是la . Zadeh的模糊集分析,还是今天发展起来的R.R. Yager的q阶正形模糊集的对角形式,都不能提供必要的聚合。这一事实,作为一个给定的事实,可以被视为新类型信息的来源,以便根据Zadeh获得在整个宇宙中呈现的不同程度的兼容性。这个信息源可以表示为⟨a, fA⟩对,其中存在一些宇宙a的清晰子集,它决定从宇宙中采样对象,并且函数fA决定该采样元素的兼容性级别。本文构造了一个分裂模糊集的概念,它允许对这些信息进行语义表示和聚合。这个概念一次又一次地基于Zadeh模糊集的概念。特别地,介绍了将一个清晰子集分割成对偶模糊集的操作。给出了分裂对偶模糊集上集合运算的定义。从定义和先前的结果中自然地推导出了一些证明。最后以MADM为例说明了分割运算的应用。
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