• DocumentCode
    3022934
  • Title

    Research on Multi-criterion Group Decision Making Cases Based Reasoning

  • Author

    Yu, Xinqiao ; Chen, Wenfei ; Meng, Bo

  • Author_Institution
    Chengdu Neusoft Inst. of Inf. Technol., Chengdu, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    In multi-person decision process, the final decision is synthesized from each individual´s options on the multiple criteria through Multi-criterion Group Decision Making, which is a kind of process oriented social activity including persons´ subjective judgment reflected in their linguistic estimation. Though it draws on the wisdom of the mass, its shortcoming of time and resource consuming is significant whereas. Knowledge oriented technologies utilize historical activities as cases for later decision-making such as Case-based Reasoning. This article proposes an available method of CBR referring to historical multi-person decision making processes for rigid reasoning to overcome the defect of traditional MCGDM in which the process of linguistic evaluation data and collective consistency analysis are performed. And the example given shows its availability.
  • Keywords
    case-based reasoning; linguistics; operations research; cases based reasoning; collective consistency analysis; knowledge oriented technologies; linguistic estimation; multicriterion group decision; multiperson decision process; multiple criteria options; process oriented social activity; subjective judgment reflected; time resource consuming; Artificial intelligence; Availability; Computational intelligence; Decision making; Decision support systems; Fuzzy reasoning; Information technology; Performance analysis; Performance evaluation; Production; case based reasoning; fuzzy set; multiple criterion group decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.292
  • Filename
    5376369