Solving the Multiobjective Fractional Transportation Problem through the Neutrosophic Goal Programming Approach

C. Veeramani, S. A. Edalatpanah, S. Sharanya and Dragan PamuÄ Ar

Discrete Dynamics in Nature and Society, 2021, vol. 2021, 1-17

Abstract: Nowadays, the transportation problem is a multiobjective decision-making problem. It involves deciding to determine the ideal transportation setup that matches the decision maker’s preferences while taking into account competing objectives/criteria such as transportation cost, transportation time, and environmental and social concerns. This study presents a general framework of the multiobjective fractional transportation problem (MOFTP) to deal with such complex scenarios. This paper’s major goal is to propose a solution methodology to solve the MOFTP based on a neutrosophic goal programming (NGP) approach. By obtaining the optimal compromise solution using three memberships, namely, truth membership, indeterminacy membership, and falsity membership, the suggested technique gives a novel insight into solving the MOFTP. A real-world problem such as selling wind turbine blades’ problem and a numerical example are used to demonstrate the efficacy and superiority of the proposed method.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:7308042

DOI: 10.1155/2021/7308042

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