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Probabilistiline kõhklev COPRAS-i laiendus×Kriteeriumide tähtsus interkriteeriumite korrelatsiooni kaudu×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20211995
LoojaSong, H. F. Chen, Z. C.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TüüpProbabilistic Hesitant ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs)Statistical contrast intensity + correlation-based objective weighting
AlgallikasSong, H. F., Chen, Z. C. (2021). Multi-attribute decision-making method based distance and COPRAS method with probabilistic hesitant fuzzy environment. International Journal of Computational Intelligence Systems DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Rööpnimetused
Seotud88
KokkuvõtePHF-COPRAS (Probabilistic Hesitant extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Song, H. F. Chen, Z. C. in 2021. 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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ScholarGateVõrdle meetodeid: PHF-COPRAS · CRITIC. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare