Economical Heuristics for Fully Interval Integer Multi-Objective Fuzzy and Non-Fuzzy Transportation Problems

Tarishi Baranwal Department of Mathematics and Statistics, Dr. Vishwanath Karad MIT World Peace University, Pune-411 038, Maharashtra, India http://orcid.org/0009-0002-6199-1605
A. Akilbasha Department of Mathematics and Statistics, Dr. Vishwanath Karad MIT World Peace University, Pune-411 038, Maharashtra, India http://orcid.org/0000-0001-6914-0667

DOI: https://doi.org/10.2298/YJOR240115035B

Abstract

The single-objective fuzzy or non-fuzzy transportation problem (TP) is not capable of dealing with real-life decision-making problems due to our current competitive market state. In this article, we investigate a fully integer interval multiobjective transportation problem (FIIMOTP) and a fully fuzzy integer multi-objective transportation problem (FFIMOTP). We also provide two solution approaches for solving the FIIMOTP and FFIMOTP. Numerical examples are provided to validate these two approaches. Our results show that the proposed algorithm hugely outperforms the best solution approaches.

Published

2024-08-23

How to Cite

BARANWAL, Tarishi; AKILBASHA, A.. Economical Heuristics for Fully Interval Integer Multi-Objective Fuzzy and Non-Fuzzy Transportation Problems. Yugoslav Journal of Operations Research, [S.l.], aug. 2024. ISSN 2334-6043. Available at: <https://yujor.fon.bg.ac.rs/index.php/yujor/article/view/1290>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.2298/YJOR240115035B.

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Economical Heuristics for Fully Interval Integer Multi-Objective Fuzzy and Non-Fuzzy Transportation Problems

Abstract

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