Salīdzināt metodes

	Labākā-Sliktākā metode	CRITIC-M	Pakāpeniska nozīmīguma koeficientu novērtēšanas analīze
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2015	1995	2010
Autors	Rezaei, J.	Based on Diakoulaki et al.'s CRITIC; modified variants developed later	Keršulienė, V., Zavadskas, E. K., Turskis, Z.
Tips	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Objective weight derivation via correlation and variance	Sequential step-ratio subjective weighting
Pirmavots	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, 22(7), 763-770.	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
Citi nosaukumi	—	CRITIC-M, Modified CRITIC	—
Saistītās	8	3	8
Kopsavilkums	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-M (Criteria Importance Through Intercriteria Correlation - Modified) is an objective weight derivation method that extends the classical CRITIC approach. It assigns weights to criteria based on two intrinsic properties of the decision matrix: variance (how much a criterion differentiates alternatives) and correlation (how much a criterion conflicts with or supplements others). Modified variants adjust the formulation to improve robustness or interpretability.	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.