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Solving multi-objective chance constrained programming problem involving three parameters log normal distribution

Author

Listed:
  • Srikumar Acharya
  • Berhanu Belay
  • Rajashree Mishra

Abstract

The main point of this paper is to find the compromise solution of multi-objective chance constrained mathematical programming problem by considering the parameters of the right hand side restrictions as uncertain variables having three parameters log normal distribution. In the first step, we convert the multi-objective chance constrained mathematical programming problem to a deterministic equivalent multi-objective mathematical programming problem. After converting the multi-objective chance constrained programming problem into deterministic equivalent multi-objective programming problem, fuzzy programming method is used to find the solution which is closest to ideal solution. Numerical example is presented to illustrate the technique. Finally, case study on crop land and water management for irrigation is presented.

Suggested Citation

  • Srikumar Acharya & Berhanu Belay & Rajashree Mishra, 2021. "Solving multi-objective chance constrained programming problem involving three parameters log normal distribution," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 18(2), pages 236-253.
    • Handle: RePEc:ids:ijmore:v:18:y:2021:i:2:p:236-253
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