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Another View on Intuitionistic Fuzzy Preference Relation-Based Aggregation Operators and Their Applications

机译：基于直觉的模糊偏好关系的聚合运算符及其应用程序的另一个视图

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Multi-attribute group decision making (MAGDM) can be considered as the process of ranking alternatives or selecting an optimal alternative by many decision makers based on multiple criteria. By comparing any two alternatives pairwise, preference relations provide efficient ways to represent the preference degrees of decision makers. The aim of this paper is to introduce the notions of upward intuitionistic fuzzy preference relations from fuzzy information system and to study some properties of these relations. Further the series of upward intuitionistic fuzzy preference aggregation operators including the upward intuitionistic fuzzy preference weighted averaging (UIFPWA) operator, upward intuitionistic fuzzy preference ordered weighted averaging (UIFPOWA) operator and upward intuitionistic fuzzy preference hybrid averaging (UIFPHA) operator and their related results are also investigated. We developed a MAGDM method based on the proposed operators under the fuzzy environment and illustrated with a numerical example to study the applicability of the new approach on a candidate selection decision-making problem.
机译：多属性组决策制定（MAGDM）可以被视为排名替代方案的过程或根据多标准选择许多决策者的最佳替代品。通过比较任意两个替代方向，偏好关系提供有效的方法来表示决策者的偏好程度。本文的目的是从模糊信息系统介绍向上直觉模糊偏好关系的概念，并研究这些关系的一些性质。此外，一系列向上直觉模糊偏好聚合运算符，包括向上直觉模糊偏好加权平均（UIFPWA）操作员，向上直觉模糊偏好有序加权平均（UIFPOWA）操作员和向上直觉模糊偏好混合平均（UIFPHA）操作员及其相关结果还调查了。我们开发了一种基于模糊环境下提出的运营商的MAGDM方法，并用数字示例说明，以研究新方法对候选选择决策问题的适用性。

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