Fuzzy random possibilistic programming model for multi-objective problem

A. Nureize, J. Watada

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

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
    PublisherIEEE Computer Society
    Pages2204-2208
    Number of pages5
    ISBN (Print)9781467329453
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong
    Duration: 2012 Dec 102012 Dec 13

    Other

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

    Keywords

    • fuzzy random coefficient
    • Multi-objective evaluation
    • necessity measure
    • possibilistic programming

    ASJC Scopus subject areas

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

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