A new method for solving fully fuzzy linear programming problems |
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Authors: | Amit Kumar Jagdeep Kaur Pushpinder Singh |
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Affiliation: | School of Mathematics and Computer Applications, Thapar University, Patiala 147 004, India |
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Abstract: | Lotfi et al. [Solving a full fuzzy linear programming using lexicography method and fuzzy approximate solution, Appl. Math. Modell. 33 (2009) 3151–3156] pointed out that there is no method in literature for finding the fuzzy optimal solution of fully fuzzy linear programming (FFLP) problems and proposed a new method to find the fuzzy optimal solution of FFLP problems with equality constraints. In this paper, a new method is proposed to find the fuzzy optimal solution of same type of fuzzy linear programming problems. It is easy to apply the proposed method compare to the existing method for solving the FFLP problems with equality constraints occurring in real life situations. To illustrate the proposed method numerical examples are solved and the obtained results are discussed. |
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Keywords: | Fully fuzzy linear programming problems Triangular fuzzy numbers Ranking function |
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