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Group decision making under hesitant fuzzy environment with application to personnel evaluation

机译：模糊环境下的群体决策及其在人员评价中的应用

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In many personnel evaluation scenarios, decision makers are asked to provide their preferences anonymously to both ensure privacy and avoid psychic contagion. The use of hesitant fuzzy sets is a powerful technique for representing this type of information and has been well studied. This paper explores aggregation methods for prioritized hesitant fuzzy elements and their application on personnel evaluation. First, the generalized hesitant fuzzy prioritized weighted average (GHFPWA) and generalized hesitant fuzzy prioritized weighted geometric (GHFPWG) operators are presented. Some desirable properties of the methods are discussed and special cases are investigated in detail. Previous research has indicated that many existing hesitant fuzzy aggregation operators are special cases of the proposed operators. Then, a procedure and algorithm for group decision making is provided using these proposed generalized hesitant fuzzy aggregation operators. Finally, the group decision making method is applied to a representative personnel evaluation problem that involves a prioritization relationship over the evaluation index.
机译：在许多人员评估方案中，决策者被要求匿名提供其偏好，以确保隐私并避免心理传染。犹豫模糊集的使用是表示此类信息的有力技术，并且已经进行了充分的研究。本文探讨了优先犹豫模糊元的聚合方法及其在人员评价中的应用。首先，给出了广义犹豫模糊优先加权平均（GHFPWA）和广义犹豫模糊优先加权几何（GHFPWG）算子。讨论了该方法的一些理想特性，并详细研究了特殊情况。先前的研究表明，许多现有的犹豫模糊集合算子是拟议算子的特例。然后，利用这些提出的广义犹豫模糊集合算子提供了一种用于群体决策的过程和算法。最后，将群体决策方法应用于涉及优先级高于评估指标的代表性人员评估问题。

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