An Analysis of Multi-objective Fuzzy Stochastic Nonlinear Programming Models

Authors

DOI:

https://doi.org/10.26713/cma.v13i4.2184

Keywords:

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

Abstract

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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References

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Published

25-12-2022
CITATION

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. https://doi.org/10.26713/cma.v13i4.2184

Issue

Vol. 13 No. 4 (2022)

Section

Research Article

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