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
  • 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: 16 oct. 2024. doi: https://doi.org/10.2298/YJOR240115035B.
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