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基于改进模糊VIKOR方法的多准则人员选拔

Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.

作者信息

Alguliyev Rasim M, Aliguliyev Ramiz M, Mahmudova Rasmiyya S

机构信息

Institute of Information Technology, Azerbaijan National Academy of Sciences, 9 B. Vahabzade Street, AZ1141 Baku, Azerbaijan.

出版信息

ScientificWorldJournal. 2015;2015:612767. doi: 10.1155/2015/612767. Epub 2015 Sep 30.

DOI:10.1155/2015/612767
PMID:26516634
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4605450/
Abstract

Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.

摘要

人员评估是人力资源管理中的一个重要过程。多标准性质以及定性和定量因素的存在使其变得相当复杂。在本研究中,提出了一种模糊混合多标准决策(MCDM)模型用于人员评估。该模型解决了在一个模糊环境中的人员评估问题,在这个环境中,标准和权重都可能是模糊集。三角模糊数用于评估人员的适用性以及语言值的近似推理。为了进行评估,我们选择了五个信息文化标准。使用最坏情况法计算标准的权重。之后,提出了改进的模糊VIKOR方法对备选方案进行排序。本研究的结果是借助模糊VIKOR和改进的模糊VIKOR技术对最佳备选方案进行排序和选择。给出了模糊VIKOR和改进的模糊VIKOR方法结果的对比分析。实验表明,所提出的改进模糊VIKOR方法相对于模糊VIKOR方法具有一些优势。首先,从计算复杂度的角度来看,所提出的模型是有效的。其次,与模糊VIKOR方法相比,它具有较高的可接受优势。