• DocumentCode
    182949
  • Title

    A hybrid multiple attribute decision-making approach for evaluating weapon systems under fuzzy environment

  • Author

    Shanliang Yang ; Song Wang ; Xiao Xu ; Ge Li

  • Author_Institution
    Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    204
  • Lastpage
    210
  • Abstract
    Weapon system selection is a critical task for commanders because weapon systems have become the primary deciding factor to determine the results of battles. Weapon system evaluation and selection problem is usually regarded as a multiple attribute decision-making(MADM) problem under fuzzy environment. Therefore, a hybrid fuzzy MADM methodology is proposed to deal with weapon system selection in this paper. The entropy weighting method is employed to determine the importance weights of evaluation attributes. Then fuzzy TOPSIS approach is utilized to identify the overall performance values and ranking order of alternative weapon systems. Finally, a case study on missile system selection is given to demonstrate the usefulness and effectiveness of the proposed methodology.
  • Keywords
    TOPSIS; decision making; entropy; fuzzy set theory; military systems; weapons; MADM problem; alternative weapon systems; battles; commanders; entropy weighting method; evaluation attributes; fuzzy TOPSIS approach; fuzzy environment; hybrid fuzzy MADM methodology; hybrid multiple attribute decision-making approach; importance weights; missile system selection; performance values; ranking order; weapon system evaluation; weapon system selection; Decision making; Entropy; Fuzzy set theory; Missiles; Pragmatics; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980833
  • Filename
    6980833