• DocumentCode
    3392775
  • Title

    Hybrid interval uncertain multi-attribute decision making based on set pair analysis

  • Author

    Zhang Bin ; Liao Ming-jun ; Wang Kai-ying ; Wang Lin

  • Author_Institution
    Dept. of Civil Engieering, Beihua Univ., Jilin, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    938
  • Lastpage
    941
  • Abstract
    In accordance with the Hybrid multi-attribute decision making problem with attribute value of several interval uncertainty data information, decision making method is presented. First, the paper gives three interval type representations of attribute value, then, makes use of set pair, convert interval type attribute value into the presentation of connection number and construct the connection degree matrix of decision problem, at last, computes the comprehensive connection degree, and sort and choose the projects based on the new definition of risk-priority-degree. The example shows that the method which integrates the certain analysis and the uncertain analysis, reflect the effect of uncertainty on result, is a integral, brief and efficacious uncertainty Multi-attribute Decision Making method.
  • Keywords
    decision making; matrix algebra; risk analysis; set theory; uncertainty handling; attribute value; comprehensive connection degree; connection degree matrix; decision problem; hybrid interval uncertain multiattribute decision making; risk-priority-degree; set pair analysis; three interval type representation; uncertainty data information; Cities and towns; Decision making; Educational institutions; Indexes; Matrix converters; Pragmatics; Uncertainty; connection degree; interval number; multi-attribute decision making; risk-priority-degree; set pair analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025619
  • Filename
    6025619