• DocumentCode
    2632880
  • Title

    General Model of Multiple Weights Fuzzy Appraisal System

  • Author

    Huang, Tien-Tsai

  • Author_Institution
    Dept. of Ind. Manage., Lunghwa Univ. of Sci. & Technol., Taoyuan
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    83
  • Lastpage
    83
  • Abstract
    This paper considers the general model involving fuzzy appraisal system based on multiple weights. In evaluation problems, weight is the key factor that influences the final assessment results. Hence, how to find a more objective and realistic way to suit the different weigh system is an important topic. However, in tradition way, the vagueness of linguistic terms used by decision maker, such as important etc., is not considered when assessment of relative weight results. Therefore, In order to obtain more precise aggregate evaluation results, a general model of fuzzy appraisal system based on multiple weights is proposed, in which the linguistic terms are applied. Furthermore, both in the aspect of experts´ weight and evaluation structure, two-stage situation are considered simultaneously. In discussion section, it is shown that this general model is not only suit for the two-stage situation, but also for one-stage situation as well.
  • Keywords
    decision making; fuzzy set theory; operations research; evaluation problems; evaluation structure; final assessment; linguistic terms; multiple weights fuzzy appraisal system; two-stage situation; Aggregates; Appraisal; Decision making; Environmental management; Fuzzy control; Fuzzy set theory; Fuzzy systems; Inventory management; Quality management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.293
  • Filename
    4603272