A Comprehensive Decision Algorithm for the Analysis of Renewable Energy Source Selection Problem using Pythagorean Neutrosophic Fuzzy Sets

Authors

  • D. Sasirekha Research Scholar, PG and Research Department of Mathematics, Government Arts and Science College, Kangeyam, Tiruppur, Tamil Nadu, India;
  • P. Senthilkumar Assistant Professor, PG and Research Department of Mathematics, Government Arts and Science College, Kangeyam, Tiruppur, Tamil Nadu, India;

Keywords:

Neutrosophic fuzzy set, Pythagorean neutrosophic fuzzy set, MULTIMOORA, Renewable energy technology, MCDM.

Abstract

Nowadays, to achieve sustainable development and avoid devastating impacts on the environment,
 India is making rapid and broad changes to green energy technology. In order to provide long-term energy
 security with lower emissions, renewable energy sources are essential. It is well known that renewable energy
 technologies, or RETs, have the capacity to signi cantly meet the demand for electricity while lowering pollution
 levels. The nation has set up an ecologically friendly energy route in recent years. In this paper, we apply
 multi-criteria decision making (MCDM) models to determine the best renewable energy technology for India.
 We use the MULTIMOORA model to identify the best technology under the pythagorean neutrosophic fuzzy
 set (PNFS) and the FUCOM to obtain the criteria weights. In this study, we investigate sources of renewable
 energy using the newly developed idea of the PNFS and recommend the best renewable energy source for India.

 

DOI: 10.5281/zenodo.11179977

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Published

2024-05-01

How to Cite

D. Sasirekha, & P. Senthilkumar. (2024). A Comprehensive Decision Algorithm for the Analysis of Renewable Energy Source Selection Problem using Pythagorean Neutrosophic Fuzzy Sets. Neutrosophic Sets and Systems, 67, 190-205. https://fs.unm.edu/nss8/index.php/111/article/view/4452