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Economical Heuristics for Fully Interval Integer Multi-Objective Fuzzy and Non-Fuzzy Transportation Problems
Yugoslav journal of operations research, Tome 34 (2024) no. 4, p. 743 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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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.
Classification : 90B06 90C29
Keywords: Fuzzy integer multi-objective transportation problem, solution approach, integer interval multi-objective transportation problem, decision making 
@article{YJOR_2024_34_4_a6,
     author = {Tarishi Baranwal and A. Akilbasha},
     title = {Economical {Heuristics} for {Fully} {Interval} {Integer} {Multi-Objective} {Fuzzy} and {Non-Fuzzy} {Transportation} {Problems}},
     journal = {Yugoslav journal of operations research},
     pages = {743 },
     year = {2024},
     volume = {34},
     number = {4},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2024_34_4_a6/}
}
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Tarishi Baranwal; A. Akilbasha. Economical Heuristics for Fully Interval Integer Multi-Objective Fuzzy and Non-Fuzzy Transportation Problems. Yugoslav journal of operations research, Tome 34 (2024) no. 4, p. 743 . http://geodesic.mathdoc.fr/item/YJOR_2024_34_4_a6/