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The multi-attribute group decision making in the police station evaluation system

机译:派出所评估系统中的多属性群体决策

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The aim of the paper mainly study to group decision making problem in the police station performance evaluation system by utilizing interval-valued intuitionistic fuzzy soft set based on operations. In the process of the decision making, we fully consider the importance of each expert according to their knowledge background. Firstly, we introduce an interval-valued intuitionistic fuzzy soft set and their properties and operations. According to the idea of operators to aggregate the thought of different experts, and successfully apply to the mid-level soft set of intuitionistic fuzzy soft set, which confirm that "membership levels" and "non-membership levels" are entirely considered as the threshold to judge some of parameters whether can be considered as an important basis of evaluation of the final alternatives. Secondly, we apply weights of attributes in choice value of candidates to evaluate the alternatives. Finally, the paper shows a comparison with other group decision-making approach to demonstrate the accuracy and perfection of obtained result.
机译:本文的目的主要是利用基于操作的区间值直觉模糊软集,研究派出所绩效评估系统中的群体决策问题。在决策过程中,我们会根据他们的知识背景充分考虑每位专家的重要性。首先,介绍了区间值直觉模糊软集及其性质和运算。根据运营商的思想,汇集不同专家的思想,并成功地应用于直觉模糊软集的中层软集,这证实了“会员级别”和“非会员级别”被完全视为门槛判断某些参数是否可以视为评估最终替代方案的重要依据。其次,我们在候选人的选择价值中运用属性的权重来评估备选方案。最后,本文与其他群体决策方法进行了比较,以证明所获得结果的准确性和完善性。

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