Recent Advances and Emerging Approaches in Fully Fuzzy Linear Programming: A Comparative and Critical Review

Authors

  • Shivdeep Kaur

Keywords:

Fully Fuzzy Linear Programming, Fuzzy Optimization, Triangular Fuzzy Number, Lexicographic Method, Multi-Objective Linear Programming, Fuzzy Decision Making, Fuzzy Arithmetic.

Abstract

Fully Fuzzy Linear Programming (FFLP) has developed into a significant optimizationparadigm for addressing ambiguity, incomplete information, and imprecise data in complexdecision-making environments. Classical linear programming models assume precise
coefficients and deterministic environments; however, practical systems in engineering,management science, transportation, economics, manufacturing, and artificial intelligencefrequently involve imprecise and ambiguous information.

References

Dehghan, M., Hashemi, B., & Ghatee, M. (2006). Computational methods for solving fully fuzzy linear systems. Applied Mathematics and Computation, 179(1), 328–343. https://doi.org/10.1016/j.amc.2005.11.096

Allahviranloo, T., Lotfi, F. H., Kiasary, M. K., Kiani, N. A., & Alizadeh, L. (2008). Solving fully fuzzy linear programming problem by ranking function. Applied Mathematical Sciences, 2(1), 19–32.

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Published

2022-06-15

How to Cite

Shivdeep Kaur. (2022). Recent Advances and Emerging Approaches in Fully Fuzzy Linear Programming: A Comparative and Critical Review. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 1172–1182. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5443

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