Cargando…
A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information
Wind power is often recognized as one of the best clean energy solutions due to its widespread availability, low environmental impact, and great cost-effectiveness. The successful design of optimal wind power sites to create power is one of the most vital concerns in the exploitation of wind farms....
Autores principales: | Attaullah, Ashraf, Shahzaib, Rehman, Noor, Khan, Asghar, Naeem, Muhammad, Park, Choonkil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971469/ https://www.ncbi.nlm.nih.gov/pubmed/35361827 http://dx.doi.org/10.1038/s41598-022-09323-5 |
Ejemplares similares
-
Author Correction: A wind power plant site selection algorithm based on q-rung orthopair hesitant fuzzy rough Einstein aggregation information
por: Attaullah, et al.
Publicado: (2022) -
q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information and Their Application in Decision Making
por: Attaullah, et al.
Publicado: (2022) -
q-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming
por: Ashraf, Shahzaib, et al.
Publicado: (2021) -
Multi-Attribute Decision Making with Einstein Aggregation Operators in Complex Q-Rung Orthopair Fuzzy Hypersoft Environments
por: Ying, Changyan, et al.
Publicado: (2022) -
Optimizing construction company selection using einstein weighted aggregation operators for q-rung orthopair fuzzy hypersoft set
por: Zulqarnain, Rana Muhammad, et al.
Publicado: (2023)