Abstract
In the current situation, ranking a general fuzzy number is a difficult task, and various
ranking methods have been developed, but no perfect ranking method exists. To solve fully
fuzzy linear programming problems, many ranking functions have been developed and
implemented in the literature. However, all of these methods have some limitations. In this
chapter, we propose a new method for comparing two triangular fuzzy numbers in a generalised
form. The Ezzati method [1] has been expanded upon using the suggested approach to handle
fully fuzzy linear programming issues (FFLPP). The implementation of the developed
algorithm has been illustrated through numerical illustrations. The proposed algorithm has been
applied to a transportation problem in light of extensive testing, and it has been discovered that
it is effective and generally offers a better solution.
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