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Dual hesitant fuzzy multi-criteria decision making and its application to teaching quality assessment

机译:双重犹豫模糊多准则决策方法及其在教学质量评估中的应用

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摘要

The dual hesitant fuzzy set is an efficient mathematical approach to study imprecise, uncertain or incomplete information or knowledge. In this paper, we study the aggregation methods of the dual hesitant fuzzy information. Several aggregation operators are proposed, such as the generalized dual hesitant fuzzy weighted averaging operator (GDHFWA), the generalized dual hesitant fuzzy ordered weighted averaging operator (GDHFOWA) and the generalized dual hesitant fuzzy hybrid averaging operator (GDHFHA) operator for aggregating the dual hesitant fuzzy elements and establish various properties of these operators. A method is also proposed for multi-criteria decision making under dual hesitant fuzzy environment and applied it to teaching quality assessment.
机译:双重犹豫模糊集是研究不精确,不确定或不完整的信息或知识的有效数学方法。本文研究了双重犹豫模糊信息的聚集方法。提出了几种聚合算子,如广义双重犹豫模糊加权平均算子(GDHFWA),广义双重犹豫模糊有序加权平均算子(GDHFOWA)和广义双重犹豫模糊混合平均算子(GDHFHA),用于对双重犹豫子进行聚合。模糊元素并建立这些算子的各种属性。提出了一种在双重犹豫模糊环境下进行多准则决策的方法,并将其应用于教学质量评估。

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