• DocumentCode
    2991630
  • Title

    A New Method for Interval Multiple Attribute Decision Making Based on Minimum Variance and Approach Degree

  • Author

    Ai, Zhenghai

  • Author_Institution
    Coll. of Math. & Inf. Sci., Leshan Normal Univ., Leshan, China
  • fYear
    2011
  • fDate
    3-4 Dec. 2011
  • Firstpage
    1408
  • Lastpage
    1412
  • Abstract
    In order to study the interval multiple attribute decision making problem, this paper presents a new method based on variance and approach degree. The detailed procedure of the proposed algorithm and numerical experiment are given. Also the proposed algorithm is compared with an existed algorithm. Compared results show that the proposed algorithm is effective and feasible.
  • Keywords
    decision making; numerical analysis; approach degree; interval multiple attribute decision making problem; minimum variance; Companies; Decision making; Educational institutions; Fuzzy sets; Humans; Indexes; Vectors; Approach degree; Interval number; Multiple attribute decision making; Variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
  • Conference_Location
    Hainan
  • Print_ISBN
    978-1-4577-2008-6
  • Type

    conf

  • DOI
    10.1109/CIS.2011.314
  • Filename
    6128355
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2991630