Research Paper | Mathematics | India | Volume 4 Issue 7, July 2015
A New method for Solving Fully Fuzzy Linear Programming Problem
Abstract: In this paper, a new method is proposed for solving fully fuzzy linear programming (FFLP) problem, in which all the coefficients and decision variables are triangular fuzzy number and all the constraints are fuzzy equality or inequality. With the help of similarity measure and ranking function, FFLP problem is transformed into crisp nonlinear programming problem. In the end, the proposed methodology is illustrated by numerical example.
Keywords: Similarity measure, Ranking function, optimal solution
Edition: Volume 4 Issue 7, July 2015,
Pages: 428 - 430
How to Cite this Article?
Uday Sharma, "A New method for Solving Fully Fuzzy Linear Programming Problem", International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015, pp. 428-430, https://www.ijsr.net/get_abstract.php?paper_id=SUB156348
How to Share this Article?
Similar Articles with Keyword 'Similarity measure'
Solving Fully Fuzzy Linear Programming Problem Via Similarity Measure
An Application of Distance and Similarity Measure of Fuzzy Soft Set in Decision Making and Medical Diagnosis