Building multi-attribute decision model based on Kansei information in environment with hybrid uncertainty

Junzo Watada*, Nureize Arbaiy

*この研究の対応する著者

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    The objective of this paper is to build multi attribute decision model considering Kansei information in hybrid uncertain environment. First, fuzzy random variable is explained to deal with the models in hybrid uncertain environment. Second, using fuzzy random variables, linear regression model (FRRM) is formulated. Third, multi-attribute decision model (MADM) is built based on linear regression model. Finally, multi-attribute decision model is presented in presence of Kansei information given by experts in an environment with hybrid uncertainty involving both randomness and fuzziness.

    本文言語English
    ホスト出版物のタイトルSmart Innovation, Systems and Technologies
    ページ103-112
    ページ数10
    10 SIST
    DOI
    出版ステータスPublished - 2011
    イベント3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus
    継続期間: 2011 7 202011 7 22

    Other

    Other3rd International Conference on Intelligent Decision Technologies, IDT'2011
    CityPiraeus
    Period11/7/2011/7/22

    ASJC Scopus subject areas

    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • 人間とコンピュータの相互作用
    • ソフトウェア

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