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Research Paper | Mathematics | Volume 11 Issue 12, December 2022 | Pages: 139 - 142 | India
Solving Fuzzy Non Linear Programming Problems using Ranking Function
Abstract: In this study, triangular fuzzy numbers are used as the decision parameters. To solve these fuzzy nonlinear programming problems, we first convert all of the triangular fuzzy numbers into crisp values using the robust ranking method. Next, we obtain a crisp nonlinear programming problem. Finally, we apply the Kuhn-Tucker conditions to obtain the best solution.
Keywords: Fuzzy Non Linear programming problem, Robust Ranking Method, Triangular Fuzzy Number
How to Cite?: S. Karthick, A. Saraswathi, "Solving Fuzzy Non Linear Programming Problems using Ranking Function", Volume 11 Issue 12, December 2022, International Journal of Science and Research (IJSR), Pages: 139-142, https://www.ijsr.net/getabstract.php?paperid=SR221201091426, DOI: https://dx.doi.org/10.21275/SR221201091426