An approach to optimize the cost of transportation problem based on triangular fuzzy programming problem

Abstract In this article, we address a fully fuzzy triangular linear fractional programming (FFLFP) problem under the condition that all parameters and decision variables are characterized by numbers. Utilizing computation of numbers Lexicographic order (LO), FFLFP is changed over to multi-objective function. Consequently, into crisp problem. This paper outfits another idea for diminishing computational complexity, in any case without losing its viability LFP issues. Lead from real-life problems, couple mathematical models considered survey legitimacy, usefulness applicability our method. Finally, some analysis along with one study given show novel strategies superior current techniques.