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A new dynamic score function approach to optimize a special class of Pythagorean fuzzy transportation problem

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Abstract

Endangered species are very important for our biodiversity and relocation is necessary to protect these species from extinction. In this paper, a pythagorean species fuzzy transportation problem is adopted to relocate these species. A new score function is proposed to defuzzify the pythagorean fuzzy numbers. In the literature, there are score functions in which the information about hesitation is missing but the proposed score function has the information about hesitation. Therefore, one can attain the accurate information about the pythagorean fuzzy numbers. Using proposed approach, these species are transferred at very minimum cost. To check the validity of proposed score function, comparison have been made with other existing score functions. Numerical illustrations are given to justify the proposed approach. Finally, a comparative study for transportation cost and allocations with the existing methods has been done to show the effectiveness of proposed score function.

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  1. Department of Mathematics, Jaypee Institute of Information Technology, Noida, 201304, India

    Priyanka Nagar, Pankaj Kumar Srivastava & Amit Srivastava

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  1. Priyanka Nagar
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  2. Pankaj Kumar Srivastava
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  3. Amit Srivastava
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Correspondence to Pankaj Kumar Srivastava.

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Nagar, P., Srivastava, P.K. & Srivastava, A. A new dynamic score function approach to optimize a special class of Pythagorean fuzzy transportation problem. Int J Syst Assur Eng Manag 13 (Suppl 2), 904–913 (2022). https://doi.org/10.1007/s13198-021-01339-w

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  • DOI: https://doi.org/10.1007/s13198-021-01339-w

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