Solving Fully Fuzzy Linear Programming Problem Via Similarity Measure
Abstract: In this paper, we have focused on fully fuzzy linear programming (FFLP) problem in which all the coefficients and decision variables are triangular fuzzy numbers and all the constraints are fuzzy equality or inequality. A new method for solving FFLP problem is proposed using similarity measure and ranking function, the FFLP problem is transformed into crisp nonlinear programming (CNLP) problem. In the end, to illustrate our method, we provide a numerical example.
Keywords: Similarity measure, Ranking function, optimal solution
How to Cite?: Uday Sharma, "Solving Fully Fuzzy Linear Programming Problem Via Similarity Measure", Volume 4 Issue 7, July 2015, International Journal of Science and Research (IJSR), Pages: 431-433, https://www.ijsr.net/getabstract.php?paperid=SUB156346, DOI: https://dx.doi.org/10.21275/SUB156346