A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem

An epsilon‐constraint method for fully fuzzy multiobjective linear programming

“…A similar methodology was proposed by Jalil et al in the context of a fully fuzzy multiobjective solid transportation problem; the authors noticed that, as happens with classical multiobjective optimisation, the weighted sum method may yield the same fuzzy compromised solution for different choices of the weighting factors. Yang et al solved FFMOLP problems with unrestricted triangular fuzzy parameters and nonnegative triangular fuzzy decision variables having only equality constraints; the authors used Ezzati et al's lexicographic criterion for ranking triangular fuzzy numbers, in combination with Bellman and Zadeh's fuzzy decision‐making model . Nasseri et al used a partial order relation to define fuzzy inequality constraints and a linear ranking function to transform the fuzzy objectives into crisp ones.…”

A mathematical model for solving fully fuzzy linear programming problem with trapezoidal fuzzy numbers

“…We begin with some basic and fundamental notations and preliminary results which we refer to later [18,22,23]. Definition 2.1 Let X denote a universal set.…”

“…Veeramani and Duraisamy [21] proposed a new approach of solving FFLP problem using the concept of nearest symmetric triangular fuzzy number approximation with preserve expected interval. Ezzati et al [22] applied lexicographic ordering on triangular fuzzy numbers and MOLP problem introduced a new algorithm to solve FFLP.…”

An Advanced Method to Solve Fuzzy Linear Programming Problem

“…R.Ezzati at el. [13] proposed an algorithm to solve the FFLPP which is based on a new lexicographic ordering on triangular fuzzy numbers. In their study the FFLPP is converted to its equivalent multiobjective LPP.…”