International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Issue 5, Part C

Multi-objective fuzzy linear programming techniques: A critical review


Author(s): Preeti, Hemant Poonia and Ajay Sharma

Abstract:
This study delves into multi-objective optimization, which involves solving mathematical problems with multiple competing goals. It introduces key concepts and notations related to optimization. The paper examines several methods, such as Bellman and Zadeh's, Zimmerman's, and fuzzy versions of the Simplex method with different types of fuzzy numbers. It also explores the Fuzzy Decisive Set method. The study includes discussions on the algorithms for these techniques to find the best solutions.


Pages: 224-229 | Views: 206 | Downloads: 3

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Preeti, Hemant Poonia, Ajay Sharma. Multi-objective fuzzy linear programming techniques: A critical review. Int J Stat Appl Math 2023;8(5):224-229.

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