Võrdle meetodeid

	Probabilistiline kõhklev COPRAS-i laiendus	ANP	Parim-Halvim Meetod	Kriteeriumide tähtsus interkriteeriumite korrelatsiooni kaudu
Valdkond	Otsustamine	Otsustamine	Otsustamine	Otsustamine
Perekond	MCDM	MCDM	MCDM	MCDM
Tekkeaasta	2021	1996	2015	1995
Looja	Song, H. F. Chen, Z. C.	Saaty, T. L.	Rezaei, J.	Diakoulaki, D., Mavrotas, G., Papayannakis, L.
Tüüp	Probabilistic Hesitant ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs)	Weight_Subjective (pairwise comparison, supermatrix, network structure)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Statistical contrast intensity + correlation-based objective weighting
Algallikas	Song, 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	Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research
Rööpnimetused	—	—	—	—
Seotud	8	8	8	8
Kokkuvõte	PHF-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.	ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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.