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

Junzo Watada, Nureize Arbaiy

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationSmart Innovation, Systems and Technologies
    Pages103-112
    Number of pages10
    Volume10 SIST
    DOIs
    Publication statusPublished - 2011
    Event3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus
    Duration: 2011 Jul 202011 Jul 22

    Other

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

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    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Human-Computer Interaction
    • Software

    Cite this

    Watada, J., & Arbaiy, N. (2011). Building multi-attribute decision model based on Kansei information in environment with hybrid uncertainty. In Smart Innovation, Systems and Technologies (Vol. 10 SIST, pp. 103-112) https://doi.org/10.1007/978-3-642-22194-1_11