@article{ref1,
title="Improved fuzzy multi-objective transportation problem with Triangular fuzzy numbers",
journal="Heliyon",
year="2024",
author="Kokila, A. and Deepa, G.",
volume="10",
number="12",
pages="e32895-e32895",
abstract="The present study investigates a Multi-Objective Transportation Problem within a fuzzy environment. The cost of transportation, supply, and demand data are assumed to be inaccurate due to market variations. As a result, the parameters are imprecise or fuzzy data. We offer a multi-objective, balanced transportation problem during this work, where all the parameters are fuzzy numbers. Following a mathematical formulation, fuzzy arithmetic will be used to divide the Fuzzy MOTP into three levels MOTP (lower, medium, upper). After reducing the problem to a crisp MOTP and applying a harmonic mean to each objective function, a suggested solution procedure is presented. Determining the optimal solutions for the FMOTP under unknown situations is, thus, the most important objective of this research.<p /> <p>Language: en</p>",
language="en",
issn="2405-8440",
doi="10.1016/j.heliyon.2024.e32895",
url="http://dx.doi.org/10.1016/j.heliyon.2024.e32895"
}