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Multiple-Attribute Group Decision-Making Method Based on the Linguistic Intuitionistic Fuzzy Density Hybrid Weighted Averaging Operator

机译:基于语言直觉模糊密度混合加权平均算子的多属性群决策方法

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摘要

Linguistic intuitionistic fuzzy number (LIFN) is characterized by the degrees of membership and non-membership which take the form of linguistic variables, so it can more easily describe the vague and imprecise information existing in the real decision-making problems. Density weighted averaging operator considers the density preference of information distribution, so it can produce the more reasonable decision results. In this paper, some arithmetic aggregation operators are combined with density weighted averaging operator under the linguistic intuitionistic fuzzy environment and some linguistic intuitionistic fuzzy density aggregation operators are proposed. Firstly, the related theories of LIFN have been reviewed briefly, and the method of calculating density weighted vector and the clustering method are presented. Then, some linguistic intuitionistic fuzzy density aggregation operators, such as linguistic intuitionistic fuzzy density weighted averaging operator, linguistic intuitionistic fuzzy density ordered weighted averaging operator, and linguistic intuitionistic fuzzy density hybrid weighted averaging (LIFDHWA) operator are proposed, and some properties are discussed. Moreover, a new group decision-making method based on LIFDHWA operator is proposed. Finally, an illustrative example is used to demonstrate the validity of the proposed method.
机译:语言直觉模糊数(LIFN)的特点是隶属度和非隶属度采用语言变量的形式,因此它可以更轻松地描述实际决策问题中存在的含糊不清信息。密度加权平均算子考虑了信息分布的密度偏好,因此可以产生更合理的决策结果。本文在语言直觉模糊环境下,结合算术聚合算子和密度加权平均算子,提出了一些语言直觉模糊密度算子。首先简要回顾了LIFN的相关理论,提出了密度加权矢量的计算方法和聚类方法。然后,提出了一些语言直觉的模糊密度集合算子,如语言直觉的模糊密度加权平均算子,语言直觉的模糊密度有序加权平均算子,语言直觉的模糊密度混合加权平均算子,并讨论了一些性质。提出了一种基于LIFDHWA算子的群体决策新方法。最后,通过一个例子说明该方法的有效性。

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