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

Srikumar Acharya, Berhanu Belay and Rajashree Mishra

International Journal of Mathematics in Operational Research, 2021, vol. 18, issue 2, 236-253

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.

Keywords: operational research; multi-objective programming; chance constrained programming; deterministic programming; log normal distribution; fuzzy programming method; crop land management. (search for similar items in EconPapers)
Date: 2021
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