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Neutrosophic proširenje metode TOPSIS×Objektivno ponderisanje korelacije kriterijuma i standardne devijacije×
OblastDonošenje odlukaDonošenje odluka
PorodicaMCDMMCDM
Godina nastanka20162010
TvoracBiswas, P., Pramanik, S., Giri, B. C.Wang, Y. M., Luo, Y.
TipNeutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)Correlation-penalised standard-deviation weighting
Temeljni izvorBiswas, 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 ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Drugi nazivi
Srodne88
SažetakN-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.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateUporedite metode: N-TOPSIS · CCSD. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare