TOPSIS method-based decision-making model for bipolar  quadripartitioned neutrosophic environment

G. Muhiuddin; Mohamed E. Elnair; Satham Hussain S; Durga Nagarajan

Authors

G. Muhiuddin Department of Mathematics, University of Tabuk, Tabuk 71491, Saudi Arabia;
Mohamed E. Elnair Department of Mathematics and Physics, Gezira University, P. O. Box 20, Sudan;
Satham Hussain S Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai-600 127, Tamil Nadu, India;
Durga Nagarajan Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai-600 127, Tamil Nadu, India

Abstract

In the domain of renewable energy, selecting the most suitable energy source involves navigating
complex decision-making processes influenced by multiple criteria and inherent uncertainties. This study pro
poses a novel approach using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)
and ELECTRE-I (Elimination and Choice Translating Reality) methods within a Bipolar Quadripartitioned
Neutrosophic (BQN) environment to address these challenges. The BQN framework integrates truth, contradic
tion, ignorance, and falsity membership functions, allowing for a comprehensive evaluation of renewable energy
sources. Criteria such as energy efficiency, environmental impact, cost and resource availability are consid
ered, each characterized by its respective membership function. Numerical examples and comparative analyses
demonstrate the efficacy of the proposed approach, highlighting its applicability in enhancing decision-making
reliability and robustness in renewable energy selection scenarios.

DOI: 10.5281/zenodo.15399451