Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis

To objectively evaluate the influence of hesitant fuzziness on the ranking of alternatives in multi-attribute decision making with hesitant fuzzy or probabilistic hesitant fuzzy information, the binary connection number of set pair analysis is applied to hesitant fuzzy multi-attribute decision makin...

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Detalles Bibliográficos
Autores principales: Shen, Qing, Lou, Jungang, Liu, Yong, Jiang, Yunliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Soft Computing in Decision Making and in Modeling in Economics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488077/
https://www.ncbi.nlm.nih.gov/pubmed/34629955
http://dx.doi.org/10.1007/s00500-021-06215-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488077/
https://www.ncbi.nlm.nih.gov/pubmed/34629955
http://dx.doi.org/10.1007/s00500-021-06215-0

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