• DocumentCode
    2553268
  • Title

    The application of fuzzy-real option theory in BOT project investment decision-making

  • Author

    Bi, X. ; Wang, X.F.

  • Author_Institution
    Sch. of Manage., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    289
  • Lastpage
    293
  • Abstract
    Real option method can overcome the limitations of the traditional NPV method. This paper first analyzed the embedded real option feature in the BOT infrastructure projects and proved the applicability of real option theory. However, the existing evaluation method of the real options assumes that the present value of expected cash flows and investment costs is certainty numbers, which is unconvincing due to the high degree of uncertainty in actual projects. Thus, in response to this drawback of the hypothesis, this article assume that the present value of expected cash flow, investment costs and risk-free interest rate are the fuzzy numbers, and by making improvement to the B-S pricing model, established the fuzzy-real options evaluation model, and then gives a case study to verify the validity of the model. On this basis the real option method is introduced into project evaluation and investment decision-making in the BOT project feasibility study.
  • Keywords
    decision making; fuzzy set theory; investment; pricing; project management; B-S pricing model; BOT project investment decision-making; build-own-operate-transfer; cash flows; decision-making; fuzzy-real option theory; investment costs; risk-free interest rate; Control systems; Decision making; Environmental economics; Feedback control; Fluctuations; Investments; Manufacturing processes; Process control; Production systems; Quality control; BOT; fuzzy-real option; infrastructure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344588
  • Filename
    5344588