TY - GEN
T1 - Leveraging DRSA and SRAM for an optimised green car adoption model
AU - Lin, Yu-ling
AU - Chakhar, Salem
AU - Yang, Rui
N1 - Not yet published, so DOI not yet active - 10.1007/978-3-032-25146-6_9
PY - 2026/4/28
Y1 - 2026/4/28
N2 - This paper presents a two-phase analysis approach to develop a comprehensive green car adoption model that incorporates government, consumer, and manufacturer perspectives. In the first phase, individual preference models are created for each stakeholder. Consumer and manufacturer adoption models are derived directly from total sales and total profit, respectively, while the government model is constructed using the Dominance-based Rough Set Approach (DRSA) to consider various influencing factors. In the second phase, these stakeholder-specific models are aggregated using a rank aggregation method to generate a unified green car adoption model. The resulting model reflects collective preferences, providing a framework for informed green car policy-making.
AB - This paper presents a two-phase analysis approach to develop a comprehensive green car adoption model that incorporates government, consumer, and manufacturer perspectives. In the first phase, individual preference models are created for each stakeholder. Consumer and manufacturer adoption models are derived directly from total sales and total profit, respectively, while the government model is constructed using the Dominance-based Rough Set Approach (DRSA) to consider various influencing factors. In the second phase, these stakeholder-specific models are aggregated using a rank aggregation method to generate a unified green car adoption model. The resulting model reflects collective preferences, providing a framework for informed green car policy-making.
KW - Decision Support
KW - Dominance-based rough set approach
KW - Decision rules
KW - Rank aggregation
KW - Green cars adoption
UR - https://link.springer.com/book/9783032251459
U2 - 10.1007/978-3-032-25146-6_9
DO - 10.1007/978-3-032-25146-6_9
M3 - Conference contribution
SN - 9783032251459
T3 - Lecture Notes in Business Information Processing
SP - 133
EP - 148
BT - Decision Support Systems XVI. Decision Support System Technology for Sustainable and Resilient Transitions
A2 - Costa, Ana Paula Cabral Seixas
A2 - Radovanović, Sandro
A2 - Zhao, Guoqing
A2 - Jayawickrama, Uchitha
PB - Springer Nature Switzerland
T2 - 12th International Conference on Decision Support System Technology
Y2 - 27 May 2026 through 29 May 2026
ER -