Integrating the Root Assessment Method with Subjective Weighting Methods for Battery Electric Vehicle Selection

Engineering Technology & Applied Science Research, Journal Year: 2025, Volume and Issue: 15(2), P. 21526 - 21531

Published: April 3, 2025

The global automotive industry is actively transitioning towards the production of BEVs (Battery Electric Vehicles) to significantly reduce carbon emissions and address climate change. In context a world striving for sustainable development, selecting right BEV has become crucial decision consumers. This study pioneers application RAM (Root Assessment Method) method selection among 10 available options. Each electric vehicle described by 11 criteria, with weights calculated using two subjective weighting methods: ROC RS (Rank Sum) method. Regardless employed consistently identifies same optimal BEV. Furthermore, top-ranked vehicles obtained in conjunction either or methods exhibit high degree similarity those determined other ranking different criteria approaches.

Language: Английский

Beyond ChatGPT: Benchmarking speech-recognition chatbots for language learning using a novel decision-making framework

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

Language: Английский