T-spherical fuzzy interactive Dubois–Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation

Abstract

The concept of T-spherical fuzzy sets (T-SFSs) provides a robust optimization approach to deal with uncertainties in environmental concerns. The main objective of this paper is to introduce a hybrid approach for the power system reforms and advances of low-carbon technology to address environmental concerns as well as transition towards a more sustainable energy infrastructure. To meet these objectives, various aggregation operators (AOs) are developed named as T-spherical fuzzy Dubois–Prade (T-SFDP), T-spherical fuzzy interactive Dubois–Prade weighted average (T-SFIDPWA), T-spherical fuzzy interactive Dubois–Prade ordered weighted average (T-SFIDPOWA), T-spherical fuzzy interactive Dubois–Prade weighted geometric (T-SFIDPWG), and T-spherical fuzzy interactive Dubois–Prade ordered weighted geometric (T-SFIDPOWG). These AOs are integrated in the construction CRITIC-EDAS framework, facilitating a comprehensive assessment and ranking of proposals. This paper underscores the methodology's efficacy and precision through rigorous validation with CRITIC-MAUT, CRITIC-ARAS, CRITIC-EDAS, and CRITIC-MABAC analyses, showcasing its ability to discern and prioritize reform initiatives with exactitude. Beyond enhancing the comprehension of reform proposals, this hybrid approach establishes a benchmark for future evaluations, significantly contributing to the dynamic landscape of power system optimization. The methodology's clarity and precision offer decision-makers a valuable tool for the thorough assessment and prioritization of power system reforms initiatives, fostering sustainability and environmentally conscious advancements.