Linear fractional programming for fuzzy random based possibilistic programming problem

Nureize Binti Arbaiy, Junzo Watada

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

    1 Citation (Scopus)

    Abstract

    The uncertainty in real-world decision making originates from several sources, i.e., fuzziness, randomness, ambiguous. These uncertainties should be included while translating real-world problem into mathematical programming model though handling such uncertainties in the decision making model increases the complexities of the problem and make the solution of the problem hard. In this paper, a linear fractional programming is used to solve multi-objective fuzzy random based possibilistic programming problems to address the vague decision maker's preference (aspiration) and ambiguous data (coefficient), in a fuzzy random environment. The developed model plays a vital role in the construction of fuzzy multiobjective linear programming model, which is exposed to various types of uncertainties that should be treated properly. An illustrative example explains the developed model and highlights it's effectiveness.

    Original languageEnglish
    Title of host publicationProceedings of International Conference on Computational Intelligence, Modelling and Simulation
    Pages99-104
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event4th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2012 - Kuantan, Malaysia
    Duration: 2012 Sep 252012 Sep 27

    Other

    Other4th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2012
    CountryMalaysia
    CityKuantan
    Period12/9/2512/9/27

    Fingerprint

    Fractional Programming
    Programming
    Uncertainty
    Ambiguous
    Programming Model
    Decision Making
    Multiobjective Linear Programming
    Fuzzy Linear Programming
    Decision making
    Random Environment
    Fuzziness
    Mathematical Programming
    Randomness
    Mathematical programming
    Linear Model
    Linear programming
    Model
    Mathematical Model
    Coefficient

    Keywords

    • Fractional programming
    • Fuzzy random data
    • Possibilistic programming
    • Vagueness and ambiguity

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Applied Mathematics
    • Modelling and Simulation

    Cite this

    Arbaiy, N. B., & Watada, J. (2012). Linear fractional programming for fuzzy random based possibilistic programming problem. In Proceedings of International Conference on Computational Intelligence, Modelling and Simulation (pp. 99-104). [6338053] https://doi.org/10.1109/CIMSim.2012.42

    Linear fractional programming for fuzzy random based possibilistic programming problem. / Arbaiy, Nureize Binti; Watada, Junzo.

    Proceedings of International Conference on Computational Intelligence, Modelling and Simulation. 2012. p. 99-104 6338053.

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

    Arbaiy, NB & Watada, J 2012, Linear fractional programming for fuzzy random based possibilistic programming problem. in Proceedings of International Conference on Computational Intelligence, Modelling and Simulation., 6338053, pp. 99-104, 4th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2012, Kuantan, Malaysia, 12/9/25. https://doi.org/10.1109/CIMSim.2012.42
    Arbaiy NB, Watada J. Linear fractional programming for fuzzy random based possibilistic programming problem. In Proceedings of International Conference on Computational Intelligence, Modelling and Simulation. 2012. p. 99-104. 6338053 https://doi.org/10.1109/CIMSim.2012.42
    Arbaiy, Nureize Binti ; Watada, Junzo. / Linear fractional programming for fuzzy random based possibilistic programming problem. Proceedings of International Conference on Computational Intelligence, Modelling and Simulation. 2012. pp. 99-104
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