Jämför metoder

	grannskapsanpassad Ordered Weighted Averaging	Best-Worst Method	CRiteria Importance Through Intercriteria Correlation
Ämnesområde	Beslutsfattande	Beslutsfattande	Beslutsfattande
Familj	MCDM	MCDM	MCDM
Ursprungsår	2014	2015	1995
Upphovsperson	Malczewski, J.; Liu, X.	Rezaei, J.	Diakoulaki, D., Mavrotas, G., Papayannakis, L.
Typ	Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhere	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Statistical contrast intensity + correlation-based objective weighting
Ursprungskälla	Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS	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
Alias	—	—	—
Närliggande	8	8	8
Sammanfattning	LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. 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.