International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


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Research Paper | Mathematics | India | Volume 4 Issue 7, July 2015


Solving Fully Fuzzy Linear Programming Problem Via Similarity Measure

Uday Sharma


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


Edition: Volume 4 Issue 7, July 2015,


Pages: 431 - 433


How to Cite this Article?

Uday Sharma, "Solving Fully Fuzzy Linear Programming Problem Via Similarity Measure", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB156346, Volume 4 Issue 7, July 2015, 431 - 433

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