• DocumentCode
    2575810
  • Title

    Project manager selection by using Fuzzy Simple Additive Weighting method

  • Author

    Afshari, Ali Reza ; Yusuff, Rosnah ; Derayatifar, Amir Reza

  • Author_Institution
    Dept. of Ind. Eng., Islamic Azad Univ., Shirvan, Iran
  • fYear
    2012
  • fDate
    21-22 May 2012
  • Firstpage
    412
  • Lastpage
    416
  • Abstract
    By implementing Fuzzy Simple Additive Weighting (SAW) method for selecting project manager in MAPNA Company a multi criteria decision making (MCDM) method was conducted in this paper as part of an extensive research. Project manager selection is another tough and complex issue among decision making problems. In order to use a systematic method, a framework is demonstrated in this paper to assist a group of decision makers to use linguistic variables for rating candidates. Identifying the best candidate among participants for project manager selection is the goal of this study. To achieve this objective, a fuzzy SAW method has been used. The validation of these models were inspected by using a case study of project manager selection in order to choose a right PM for project manager position in a project based company. The feedbacks reveal that this model is quite reliable in selecting project managers and can ameliorate the efficiency of decision making process.
  • Keywords
    decision making; fuzzy set theory; project management; MCDM; SAW; decision making problems; extensive research; fuzzy simple additive weighting method; multicriteria decision making; project manager selection; systematic method; Companies; Decision making; Educational institutions; Industrial engineering; Pragmatics; Surface acoustic waves; Technological innovation; Fuzzy SAW; Linguistic variables; Project based organization; Project management; Project manager selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovation Management and Technology Research (ICIMTR), 2012 International Conference on
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4673-0655-3
  • Type

    conf

  • DOI
    10.1109/ICIMTR.2012.6236429
  • Filename
    6236429