Cargando…
Location selection of electric vehicles charging stations by using the spherical fuzzy CPT–CoCoSo and D-CRITIC method
Location selection of electric vehicle charging stations (LSEVCS) is a complex multi-attribute group decision-making (MAGDM) problem involving multiple experts and multiple conflicting attributes. Spherical fuzzy sets (SFSs) can deeply excavate fuzziness and uncertainty in MAGDM. In this paper, we f...
Autores principales: | Zhang, Huiyuan, Wei, Guiwu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884158/ http://dx.doi.org/10.1007/s40314-022-02183-9 |
Ejemplares similares
-
Improved CoCoSo Method Based on Frank Softmax Aggregation Operators for T-Spherical Fuzzy Multiple Attribute Group Decision-Making
por: Wang, Haolun, et al.
Publicado: (2023) -
An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making
por: Wan, Guorou, et al.
Publicado: (2023) -
Electric Vehicle Charging Station Location towards Sustainable Cities
por: Luo, Xiangyu, et al.
Publicado: (2020) -
Cybersecurity Risk Analysis of Electric Vehicles Charging Stations
por: Hamdare, Safa, et al.
Publicado: (2023) -
Targeted optimal-path problem for electric vehicles with connected charging stations
por: Fu, Fengjie, et al.
Publicado: (2019)