Fuzzy random possibilistic programming model for multi-objective problem

A. Nureize, J. Watada

    研究成果: Conference contribution

    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 Industrial Engineering and Engineering Management
    出版社IEEE Computer Society
    ページ2204-2208
    ページ数5
    ISBN(印刷版)9781467329453
    DOI
    出版ステータスPublished - 2012
    イベント2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong
    継続期間: 2012 12月 102012 12月 13

    Other

    Other2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
    CityHong Kong
    Period12/12/1012/12/13

    ASJC Scopus subject areas

    • ビジネス、管理および会計(その他)
    • 産業および生産工学
    • 安全性、リスク、信頼性、品質管理

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