So sánh phương pháp

	SWARA II	Phương pháp Tốt nhất-Tệ nhất (Best-Worst Method)	CRITIC-M	MEREC-G
Lĩnh vực	Ra quyết định	Ra quyết định	Ra quyết định	Ra quyết định
Họ	MCDM	MCDM	MCDM	MCDM
Năm ra đời	2010	2015	1995	2021
Người khởi xướng	Keršuliene, Zavadskas, and Turskis; extended by Zolfani et al.	Rezaei, J.	Based on Diakoulaki et al.'s CRITIC; modified variants developed later	Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al.
Loại	Expert-based stepwise weight derivation with ratio refinement	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Objective weight derivation via correlation and variance	Objective weight derivation via removal impact assessment
Công trình gốc	Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by evaluating opposing parties' interest in civil litigation. Journal of Civil Engineering and Management, 16(3), 412-422.	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.	Keshavarz Ghorabaee, M., Hosseinzadeh Lotfi, F., Behzadi, M., & Sałabun, W. (2021). MEREC: A new multi-criteria model to evaluate wind farm locations. Sustainability, 12(15), 6136.
Tên gọi khác	SWARA II, SWARA 2	—	CRITIC-M, Modified CRITIC	MEREC-G, Generalized MEREC
Liên quan	4	8	3	3
Tóm tắt	SWARA II (Step-wise Weight Assessment Ratio Analysis - Improved) is an enhanced variant of the SWARA method for deriving criterion weights from expert assessments. Instead of requiring pairwise comparisons or absolute weight assignments, SWARA II asks experts to rank criteria, then assess the relative importance of each criterion compared to the next-ranked one. Improved variants enhance robustness and interpretability of weight derivation.	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.	MEREC-G (Method Based on Removal Effects of Criteria - Generalized) is an objective weight derivation method that assigns weights based on the impact of removing each criterion from the decision analysis. The core idea is that important criteria, when removed, cause large changes in the final ranking. Generalized variants extend the original MEREC to various aggregation logic and decision contexts.