Building multi-objective fuzzy random programming model

Nureize Arbaiy, Junzo Watada

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    A real-life application faces various kinds of inherent uncertainties which occurs simultaneously. To find solution, formulating real world problem into mathematical programming model is challenging. Uncertain parameters in a problem model can be characterized as vagueness, ambiguous and random of the information. Such uncertainties make the existing multi-objective model incapable of handling such situations. Thus, in this paper we present the multi-objective decision model from the perspective of possibilistic programming approach to scrutinize the uncertainties in the decision making. The proposed concept can be used to build model for multi-objective problem which is exposed with various types of uncertainties. We include an illustrative example to explain the model, and highlight its advantages.

    本文言語English
    ホスト出版物のタイトルIEEE International Conference on Fuzzy Systems
    DOI
    出版ステータスPublished - 2013
    イベント2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad
    継続期間: 2013 7 72013 7 10

    Other

    Other2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
    CityHyderabad
    Period13/7/713/7/10

    ASJC Scopus subject areas

    • ソフトウェア
    • 人工知能
    • 応用数学
    • 理論的コンピュータサイエンス

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