• DocumentCode
    694137
  • Title

    Comparison of AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection

  • Author

    Chou, Y.C. ; Yen, H.Y. ; Sun, C.C. ; Hon, J.S.

  • Author_Institution
    Dept. of Bus. Adm., Tunghai Univ., Taichung, Taiwan
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    792
  • Lastpage
    796
  • Abstract
    The purpose of this article is to compare AHP and fuzzy AHP methods for human resources in science technology (HRST) performance index selection. Both the AHP and Fuzzy AHP are extremely useful when a decision-making process is complex, as they can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria, and generate an overall rank of alternatives.
  • Keywords
    analytic hierarchy process; fuzzy set theory; human resource management; AHP method; HRST performance index selection; Human Resources in Science Technology performance index selection; decision-making process; fuzzy AHP methods; multiple-choice criteria; Analytic hierarchy process; Computational modeling; Equations; Fuzzy sets; Personnel; Pragmatics; AHP; Fuzzy theory; Human resources in science technology(HRST);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962520
  • Filename
    6962520