Performance Evaluation of New Ranking Function Methods with Current Ranking Functions Using VAM and MM-VAM

Abstract

This paper discusses the optimal solution for specific types of optimization problems called fuzzy transportation problems using pentagonal fuzzy numbers. Cost value, supply, and the demand for fuzzy transport issues are taken as fuzzy numbers pentagonal. Pentagonal fuzzy numbers are converted to crisp values using functions recommended for new rankings. The purpose of this study is to compare new ranking methods with old rankings as well as Vogel's Approximation Method (VAM) and Max Min Voge'l Approximation Method (MM-VAM) in finding optimal solutions to fuzzy transportation problems. From the results of the study, it was obtained that the new ranking method with VAM method gets the smallest transportation cost. Press Proceedings article template has many predefined paragraph styles for you to use/apply as you write your paper.