• DocumentCode
    506623
  • Title

    Decision making of logistics project basing on unascertained theory and fuzzy method

  • Author

    MeiDan, Xiao

  • Author_Institution
    Coll. of Inf. & Manage. Sci., Henan Agric. Univ., Zhengzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    274
  • Lastpage
    277
  • Abstract
    Study on logistics project risk will give helpful information for managers to make decision or manage risk. Therefore, it is meaningful to evaluate the logistics project risk. This paper gives evaluation indexes system of logistics risk firstly, Then combines the unascertained theory with fuzzy method, and gives the evaluation model of logistic project risk basing on unascertained theory and fuzzy method, firstly the risk probability and risk loss are given by using the unascertained theory and fuzzy method respectively, then the whole risk of logistics project is given according to the mean of risk. And the application of the comprehensive evaluation model is given, which combines the quantitative analysis with qualitative analysis and the model is effective and system to evaluate risk, and is useful for managers to manage risk of logistic project.
  • Keywords
    decision making; fuzzy set theory; logistics; risk management; comprehensive evaluation model; decision making; evaluation indexes system; fuzzy method; logistic project risk model; logistics business; qualitative analysis; quantitative analysis; risk loss; risk management; risk probability; unascertained theory; Decision making; Educational institutions; Fluctuations; Fuzzy systems; Information management; Logistics; Project management; Quality management; Risk analysis; Risk management; fuzzy method; logistics project; risk assessment; unascertained theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357961
  • Filename
    5357961