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  • 标题:Personnel Selection Using Fuzzy VIKOR Methodology
  • 本地全文:下载
  • 作者:Kemal Gokhan Nalbant ; Yavuz Ozdemir
  • 期刊名称:International Journal of Management Science
  • 电子版ISSN:2375-3757
  • 出版年度:2018
  • 卷号:5
  • 期号:2
  • 页码:10-17
  • 语种:English
  • 出版社:The American Association for Science and Technology
  • 摘要:Personnel selection is a fundamental business process for companies. Training, work experience and personal characteristics are the qualities that are considered for employee to be recruited. Selecting the best personnel for a job or a promotion can be handled as a Multi Criteria Decision Making (MCDM) problem. Solving a multi-criteria decision problem offers decision makers suggestions, regarding the best decision choices (alternatives). The aim of this paper is to determine the best performing personnel for promotion using one of a MCDM methodology, the fuzzy VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multi criteria Optimisation and Compromise Solution) for a real personnel selection problem. For a case study in Turkey, personnel alternatives (A1, A2, A3, A4) waiting for promotion are ranked according to personnel selection criteria (22 sub-criteria are classified under 5 main criteria by 5 decision makers) using the fuzzy VIKOR with type 2 (trapezoidal) fuzzy numbers and the best-performing personnel is selected for promotion. According to the results, the best solution is found as Alternative A3. This study provides a more efficient approach to develop the best alternative under each of the selection criteria. Moreover, the Fuzzy VIKOR methodology helps managers/human resources department to easily predict how they can evaluate and promote employees. The main contribution of this study is to improve literature of fuzzy decision making for personnel selection problem.
  • 关键词:Personnel Selection; Personnel Selection Criteria; Trapezoidal Fuzzy Numbers; Multi Criteria Decision Making (MCDM); Fuzzy VIKOR Methodology
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