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Estensione neutrosifica di TOPSIS×Importanza dei Criteri Attraverso la Correlazione Intercriteriale×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine20161995
IdeatoreBiswas, P., Pramanik, S., Giri, B. C.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TipoNeutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)Statistical contrast intensity + correlation-based objective weighting
Fonte seminaleBiswas, P., Pramanik, S., Giri, B. C. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Alias
Correlati88
SintesiN-TOPSIS (Neutrosophic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateConfronta i metodi: N-TOPSIS · CRITIC. Consultato il 2026-06-18 da https://scholargate.app/it/compare