Real options analysis based on fuzzy random variables

Bo Wang, Shuming Wang, Junzo Watada

    研究成果: Article査読

    8 被引用数 (Scopus)


    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.

    ジャーナルInternational Journal of Innovative Computing, Information and Control
    出版ステータスPublished - 2010 4

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Information Systems
    • Software
    • Theoretical Computer Science

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