Assessment of environment-conscious propulsion technologies for road freight distribution based on T-spherical fuzzy Schweizer-Sklar power operators

Abstract

This paper explores the viability of environmentally conscious propulsion technologies for road freight distribution, specifically using T-spherical fuzzy information. With the increasing need for sustainable transportation, the study investigates the potential of various propulsion technologies, including electric, hybrid, solar, and diesel vehicles, and evaluates their environmental impact in terms of emissions reduction and energy efficiency. The T-spherical fuzzy information is utilized to analyze and compare the performance of these technologies in different scenarios. In this paper, we proposed hybrid aggregation operators (AOs) namely T-spherical fuzzy Schweizer-Sklar power AOs for the aggregation of T-spherical fuzzy information. Moreover, the T-spherical fuzzy aggregation method provides a comprehensive and effective tool for evaluating the viability of different propulsion technologies. This article exhibits some characteristics of the proposed AOs. Using suggested AOs with numerous evaluations by decision-makers and partial weight information under T-spherical fuzzy information, a method for multi-criteria decision-making is constructed. The results show that the adoption of environmentally conscious propulsion technologies can significantly reduce carbon emissions and improve energy efficiency in road freight distribution. In addition, the research includes a sensitivity analysis and a comparison between the proposed strategy and current methods.