Pythagorean Neutrosophic Fuzzy EM-SWARA-TOPSIS Approach for Green Supply Selection

Authors

  • Sudip Kumar Gorey Dept. of Mathematics, Dr. B. C. Roy Engineering College, Durgapur, India
  • Sreejata Sen Sarma Dept. of Mathematics, Dr. B. C. Roy Engineering College, Durgapur, India
  • Avijit De Dept. of Mathematics, Dr. B. C. Roy Engineering College, Durgapur, India

Keywords:

Pythagorean neutrosophic fuzzy set, Entropy measure, SWARA, TOPSIS, GSS

Abstract

Green supplier selection has emerged as a vital aspect in supply chain management to 
assimilate economical advantage with ecological and sustainability goals. To address this, a multicriteria decision-making method (MCDM) using Pythagorean neutrosophic fuzzy set (PNFS) has 
been introduced, which can handle uncertain data more effectively. Novel score and accuracy 
functions have been presented for ranking the Pythagorean neutrosophic numbers (PNNs). The 
MCDM algorithm integrates novel distance and entropy measure, using, Entropy for objective 
weights and SWARA for subjective weights. The new distance measure cares the TOPSIS 
framework for evaluating alternatives. The approach’s consistency and robustness in ranking green 
suppliers is validated through comparative analysis and sensitivity testing. 

 

DOI: 10.5281/zenodo.17041951

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Published

2025-12-25

Issue

Vol. 94 (2025): Neutrosophic Sets and Systems

Section

Article

License

Copyright (c) 2025 Neutrosophic Sets and Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Sudip Kumar Gorey, Sreejata Sen Sarma, & Avijit De. (2025). Pythagorean Neutrosophic Fuzzy EM-SWARA-TOPSIS Approach for Green Supply Selection. Neutrosophic Sets and Systems, 94, 130-143. https://fs.unm.edu/nss8/index.php/111/article/view/7152