• DocumentCode
    2966380
  • Title

    Applying multiple linguistic PROMETHEE method for personnel evaluation and selection

  • Author

    Chen, Chen-Tung ; Hwang, Yuan-Chu ; Hung, Wei-Zhan

  • Author_Institution
    Dept. of Inf. Manage., Nat. United Univ., Miaoli, Taiwan
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1312
  • Lastpage
    1316
  • Abstract
    Personnel evaluation and selection is a very important activity for the enterprises. Different job needs different ability and the requirement of criteria which can measure ability is different. It needs a suitable and flexible method to evaluate the performance of each candidate according to different requirement of different job respect to each criterion. PROMETHEE is a ranking method quite simple in conception and application compared to other methods. In this paper, we use crisp value to express quantitative information and use 2-tuple linguistic valuable to express qualitative information. And then, linguistic PROMETHEE is used to calculate the outranking index of each candidate and determine the ranking order of candidates. According the outranking index of each candidate, the performance of each candidate can be expressed by 2-tuple linguistic valuable which has explicit meaning in management. Finally, an example is implemented to demonstrate the practicability of the proposed method.
  • Keywords
    human resource management; personnel; 2-tuple linguistic valuable; enterprises; multiple linguistic PROMETHEE method; outranking index; personnel evaluation; personnel selection; qualitative information; ranking method; Companies; Costs; Data mining; Decision making; Electronic switching systems; Humans; Information management; Personnel; Programming profession; Recruitment; 2-tuple linguistic variable; Multi-criteria decision making; PROMETHEE; Personnel selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373021
  • Filename
    5373021