Enhancing Transportation Problem Solutions Using A New Ranking Function In a Neutrosophic Environment

Authors

  • Kavita Griglani Faculty of Applied Sciences, Parul University, Waghodiya-391760, Vadodara, Gujarat, India; Department of Applied Science and Humanities, Faculty of Engineering and Technology, Parul Institute of Technology, Parul University, Waghodiya-391760, Vadodara, Gujarat, India;
  • Komal Patel Department of Applied Science and Humanities, Faculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Waghodiya-391760, Vadodara, Gujarat, India;

Keywords:

Transportation problem, neutrosophic number, ranking function, indeterminacy

Abstract

 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. 

 

DOI: 10.5281/zenodo.17096060

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Published

2026-02-25

How to Cite

Kavita Griglani, & Komal Patel. (2026). Enhancing Transportation Problem Solutions Using A New Ranking Function In a Neutrosophic Environment. Neutrosophic Sets and Systems, 96, 42-53. https://fs.unm.edu/nss8/index.php/111/article/view/7254