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Hesitantu varbūtiskais paplašinājums COPRAS metodei×Pakāpeniska nozīmīguma koeficientu novērtēšanas analīze×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20212010
AutorsSong, H. F. Chen, Z. C.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
TipsProbabilistic Hesitant ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs)Sequential step-ratio subjective weighting
PirmavotsSong, 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 ↗Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗
Citi nosaukumi
Saistītās88
KopsavilkumsPHF-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.SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSalīdzināt metodes: PHF-COPRAS · SWARA. Izgūts 2026-06-18 no https://scholargate.app/lv/compare