قارن الطرق

	CRITIC-M	طريقة الاتساق الكامل	طريقة تعتمد على تأثيرات إزالة المعايير
المجال	اتخاذ القرار	اتخاذ القرار	اتخاذ القرار
العائلة	MCDM	MCDM	MCDM
سنة النشأة	1995	2018	2021
صاحب الطريقة	Based on Diakoulaki et al.'s CRITIC; modified variants developed later	Pamučar, D., Stević, Ž., Sremac, S.	Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
النوع	Objective weight derivation via correlation and variance	Pairwise priority + consistency constraint LP weighting	Removal-effect objective weighting (logarithmic utility)
المصدر التأسيسي	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	Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica
الأسماء البديلة	CRITIC-M, Modified CRITIC	—	—
ذات صلة	3	8	8
الملخص	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.	MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.