Improved real option analysis based on fuzzy random variables

Bo Wang*, Shu Ming Wang, Junzo Watada

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings of the 2009 International Conference on Machine Learning and Cybernetics
    ページ694-699
    ページ数6
    2
    DOI
    出版ステータスPublished - 2009
    イベント2009 International Conference on Machine Learning and Cybernetics - Baoding
    継続期間: 2009 7月 122009 7月 15

    Other

    Other2009 International Conference on Machine Learning and Cybernetics
    CityBaoding
    Period09/7/1209/7/15

    ASJC Scopus subject areas

    • 人工知能
    • コンピュータ ビジョンおよびパターン認識
    • ソフトウェア
    • 制御およびシステム工学

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