• DocumentCode
    3037473
  • Title

    Reliability and Sensitivity Analysis of Extension Group Decision-Making

  • Author

    Zhu, Jiajun ; Zheng, JianGuo ; Li, Jinbin

  • Author_Institution
    Sch. of Bus. & Manage., Donghua Univ., Wuxi, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    556
  • Lastpage
    560
  • Abstract
    On the basis of the analysis on the theories and methods on relative entropy and with the union of extension transformation and entropy optimization, this paper establishes the reliability and sensitivity analysis model of extension group decision-making centered on optimizing decision-making. With the implementation of the reliability analysis of extension group decision-making and the categories and judgment of influential factors by relative entropy , it lends optimal substantial weight to the sensitivity analysis, through which it would further observe the main content, changing scope and affective extend of group decision-making influential factors and furnish the reliability analysis with addition and intense. Combined by qualitative analysis and quantitative study, it realizes the comparison and selection for objects in uncertain environment, which leads to the promotion on the accuracy and the reliability of multi-factors analysis and multi-projects evaluation in extension group decision-making.
  • Keywords
    decision making; entropy; optimisation; reliability; entropy optimization; extension group decision making; multifactors analysis; multiprojects evaluation; relative entropy; reliability analysis; sensitivity analysis; Conference management; Decision making; Engineering management; Entropy; Financial management; Information theory; Optimization methods; Reliability theory; Sensitivity analysis; Technology management; extension association; extension group decision-making; matter-element; relative entropy; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.131
  • Filename
    5208822