• DocumentCode
    2226064
  • Title

    Applying fuzzy linguistic variable and ELECTRE method in R&D project evaluation and selection

  • Author

    Chen, C.T. ; Hung, W.Z.

  • Author_Institution
    Dept. of Inf. Manage., Nat. United Univ., Miao-Li, Taiwan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    999
  • Lastpage
    1003
  • Abstract
    In general, R&D project evaluation and selection is a group multi-criteria decision problem (GMCDM). There are many quantitative and qualitative factors will influence the R&D projects selection. A more realistic approach may be use linguistic assessments instead of numerical values to solve the problems. Therefore, decision-makers¿ opinions are described by 2-tuple linguistic variables which can be expressed in different types. In this paper, a transformation method will be presented to transform the non-homogeneous linguistic information to a standard linguistic term set. Then, a new decision method is proposed by combining 2-tuple linguistic variables with ELECTRE method to determine the ranking order of R&D projects.
  • Keywords
    decision making; fuzzy set theory; research and development; 2-tuple linguistic variables; ELECTRE method; R&D project evaluation; R&D project selection; decision makers opinions; fuzzy linguistic variable; group multicriteria decision problem; linguistic assessment; nonhomogeneous linguistic information; numerical values; qualitative factors; quantitative factors; ranking order; standard linguistic term set; Costs; Decision making; Explosions; Globalization; Government; Information management; Mathematical model; Project management; Research and development; Research and development management; 2-tuple linguistic variable; ELECTRE; R&D project; multi-criteria decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738020
  • Filename
    4738020