Volume 56, Number 6, November-December 2022
|Page(s)||3789 - 3800|
|Published online||04 November 2022|
Flexible fractional transportation problem with multiple goals: a pentagonal fuzzy concept
Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
* Corresponding author: email@example.com
Accepted: 24 September 2022
We present the framework of the multiobjective fractional transportation problem in the form of pentagonal fuzzy supply and demand. The ideal transportation model is set up to match the decision makers’ preferences in competing for the criteria, and transportation costs, delivery time, degradation, environmental and social concerns are the objectives. We employed flexible fuzzy goal programming to handle the Model’s complexity to improve the reasonable compromise. The real-world problem of wind turbine blades is used to validate the superiority and effectiveness of the technique.
Mathematics Subject Classification: 90C32 / 46N10
Key words: Multiobjective optimization / fractional programming / transportation problem / flexible fuzzy goals / pentagonal fuzzy number
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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