手法を比較

	MEREC-G	CRITIC-M	Full Consistency Method
分野	意思決定	意思決定	意思決定
系統	MCDM	MCDM	MCDM
提唱年	2021	1995	2018
提唱者	Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al.	Based on Diakoulaki et al.'s CRITIC; modified variants developed later	Pamučar, D., Stević, Ž., Sremac, S.
種類	Objective weight derivation via removal impact assessment	Objective weight derivation via correlation and variance	Pairwise priority + consistency constraint LP weighting
原典	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.	Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770.	Pamučar, D., Stević, Ž., Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM). Symmetry
別名	MEREC-G, Generalized MEREC	CRITIC-M, Modified CRITIC	—
関連	3	3	8
概要	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.	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.	FUCOM (Full Consistency Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Stević, Ž., Sremac, S. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.