• DocumentCode
    499004
  • Title

    Improved real option analysis based on fuzzy random variables

  • Author

    Wang, Bo ; Wang, Shu-ming ; Watada, Junzo

  • Author_Institution
    Dept. of Manage. Eng., Waseda Univ., Kitakyushu, Japan
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    694
  • Lastpage
    699
  • Abstract
    The objective of this paper is to build a real options model under hybrid uncertain environment of randomness and fuzziness. In order to well describe the real uncertain situation, we utilize fuzzy random variable as a tool to characterize future cash flows, and propose a new real options analysis approach by combing binomial lattice-based model with fuzzy random variable, as named fuzzy random real options analysis (FR-ROA). Then the proposed FR-ROA is applied to an R&D project problem under fuzzy random environment, and the relations of FR-ROA with the classical ROA and the fuzzy ROA are explicitly discussed, respectively.
  • Keywords
    budgeting; fuzzy set theory; binomial lattice-based model; cash flows; fuzzy random real options analysis; fuzzy random variables; hybrid uncertain environment; Conference management; Cost accounting; Cybernetics; Engineering management; Environmental management; Fuzzy set theory; Machine learning; Random variables; Research and development; Uncertainty; Binomial lattice-based model; Future cash flow; Fuzzy random variable; Real options analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212448
  • Filename
    5212448