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Possibilistic Linear Programming Problems involving Normal Random Variables

Author

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  • Suresh Kumar Barik

    (Department of Mathematics, KIIT University, Bhubaneswar, India)

  • M. P. Biswal

    (Department of Mathematics, IIT Kharagpur, Kharagpur, India)

Abstract

A new solution procedure of possibilistic linear programming problem is developed involving the right hand side parameters of the constraints as normal random variables with known means and variances and the objective function coefficients are considered as triangular possibility distribution. In order to solve the proposed problem, convert the problem into a crisp equivalent deterministic multi-objective mathematical programming problem and then solved by using fuzzy programming method. A numerical example is presented to illustrate the solution procedure and developed methodology.

Suggested Citation

  • Suresh Kumar Barik & M. P. Biswal, 2016. "Possibilistic Linear Programming Problems involving Normal Random Variables," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 5(3), pages 1-13, July.
    • Handle: RePEc:igg:jfsa00:v:5:y:2016:i:3:p:1-13
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