Enhancing Transportation Problem Solutions Using A New Ranking Function In a Neutrosophic Environment
Keywords:
Transportation problem, neutrosophic number, ranking function, indeterminacyAbstract
Transportation problems often involve uncertainties in cost, supply, and demand, which
traditional optimisation methods struggle to handle effectively. Neutrosophic numbers can handle
such uncertainties and incomplete information. This paper introduces a new ranking function for
solving transportation problems in a neutrosophic environment, which provides a better framework
for addressing indeterminate, vague, and inconsistent information. By integrating neutrosophic sets
and their arithmetic operations, this study offers a computationally efficient approach to
transforming crisp problems into a solvable format. Numerical examples and comparative analysis
demonstrate the effectiveness of the proposed ranking function.
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