• DocumentCode
    502745
  • Title

    Multi-objective decision making method under indefinite weight information of attributes based on region match degree

  • Author

    Zhou Qi-hai ; Li Yan

  • Author_Institution
    Inf. Technol. Applic. Res. Inst., Southwestern Univ. of Finance & Econ., Chengdu, China
  • Volume
    3
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    435
  • Lastpage
    437
  • Abstract
    When the weight information of attributes is indefinite, how carries on processing to the indefinite weight information is worth studying. The traditional processing thought is that establish an optimized model based on certain criterion such as variance minimizing, take the solution of the optimized model as the attributes´ weight value. The rationality and multiplicity of the criterion are the flaws of the traditional processing thought. Attempt to deal with the decision-making question, in which the weight values´ information only partly may know, from an opposite perspective in this article. Firstly suppose each plan is the synergy, extract the corresponding weight value´s supposition territory. Then judg match degree between each weight value´s supposition territory and the weight value´s objective territory, the plan owing the maximum match degree is the optimal plan.
  • Keywords
    decision making; decision theory; set theory; attribute weight value; decision scheme set; indefinite attribute weight information; multiobjective decision making method; region match degree; weight value supposition territory; Communication system control; Data mining; Decision making; Finance; Financial management; Information analysis; Information entropy; Information technology; Optimization methods; Technology management; Indefinite information; Multi-objective; Region match degree; decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267861
  • Filename
    5267861