Building multi-objective fuzzy random programming model

Nureize Arbaiy, Junzo Watada

    研究成果: Conference contribution

    1 被引用数 (Scopus)


    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.

    ホスト出版物のタイトルIEEE International Conference on Fuzzy Systems
    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月 72013 7月 10


    Other2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013

    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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