Possibilistic programming decision making in modality perspective

Arbaiy Nureize, Junzo Watada

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

    Abstract

    The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
    Pages709-713
    Number of pages5
    DOIs
    Publication statusPublished - 2011
    EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore
    Duration: 2011 Dec 62011 Dec 9

    Other

    OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
    CitySingapore
    Period11/12/611/12/9

    Keywords

    • necessity measure
    • Possibilistic programming
    • possibility measure

    ASJC Scopus subject areas

    • Business, Management and Accounting (miscellaneous)
    • Industrial and Manufacturing Engineering
    • Safety, Risk, Reliability and Quality

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