An Analysis of Multi-objective Fuzzy Stochastic Nonlinear Programming Models




Multi objective fuzzy stochastic nonlinear programming, L-R fuzzy numbers, Gamma distribution


A novel method is developed for multi-objective fuzzy stochastic nonlinear programming models with some stochastic constraints in which randomness is described by gamma random variables and fuzziness is expressed by L-R fuzzy numbers. The solution for aforesaid model is obtained by three stages: Defuzzification, conversion of MOSNLPP into MONLLP using chance constrained technique and solving multi objective deterministic nonlinear programming problem. An example is exemplified to validate and strengthen the efficacy of proposed technique.


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How to Cite

Beaula, T., & Seetha, R. (2022). An Analysis of Multi-objective Fuzzy Stochastic Nonlinear Programming Models. Communications in Mathematics and Applications, 13(4), 1287–1294.



Research Article