SOLVING INTUITIONISTIC FUZZY TRANSPORTATION PROBLEM USING GM-R METHOD

In recent years, researchers have focused on the Intuitionistic Fuzzy Transportation Problem (IFTP) due to its significant and indispensable role in the Transportation Problem (TP). An endeavour is performed in this paper to establish a new technique. This technique works with IFTP based on “Geometric Mean-Ranking(GM-R)”method. To provide a comprehensive understanding of the proposed method, we present and solve extensively discussed numerical examples. The acquired outcomes are subsequently subjected to numerical comparison with those of established methods, confirming the effectiveness of the proposed technique. This study validates the flexibility and simplicity of applying the method to real-life IFTPs for decision-makers.

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Publication Details

Journal
Proceedings on Engineering Sciences
Published
2024-08-29
DOI
https://doi.org/10.24874/pes.si.25.03b.018
Primary Topic
Optimization and Mathematical Programming
Type
article
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article

SOLVING INTUITIONISTIC FUZZY TRANSPORTATION PROBLEM USING GM-R METHOD

Veerraju Nalla, L N P Kumar Rallabandi, P. S. Brahmanandam
Proceedings on Engineering Sciences
Optimization and Mathematical Programming
article

SOLVING INTUITIONISTIC FUZZY TRANSPORTATION PROBLEM USING GM-R METHOD

Veerraju Nalla, L N P Kumar Rallabandi, P. S. Brahmanandam
article en

Abstract

In recent years, researchers have focused on the Intuitionistic Fuzzy Transportation Problem (IFTP) due to its significant and indispensable role in the Transportation Problem (TP). An endeavour is performed in this paper to establish a new technique. This technique works with IFTP based on “Geometric Mean-Ranking(GM-R)”method. To provide a comprehensive understanding of the proposed method, we present and solve extensively discussed numerical examples. The acquired outcomes are subsequently subjected to numerical comparison with those of established methods, confirming the effectiveness of the proposed technique. This study validates the flexibility and simplicity of applying the method to real-life IFTPs for decision-makers.

Proceedings on Engineering SciencesVol. 6(3)
Openalex Percentile: Top 84%
Optimization and Mathematical Programming
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