مقایسهٔ روش‌ها

	CRITIC-M	روش سازگاری کامل	روش مبتنی بر اثرات حذف معیارها
حوزه	تصمیم‌گیری	تصمیم‌گیری	تصمیم‌گیری
خانواده	MCDM	MCDM	MCDM
سال پیدایش	1995	2018	2021
پدیدآور	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.
نوع	Objective weight derivation via correlation and variance	Pairwise priority + consistency constraint LP weighting	Removal-effect objective weighting (logarithmic utility)
منبع بنیادین	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
نام‌های دیگر	CRITIC-M, Modified CRITIC	—	—
مرتبط	3	8	8
خلاصه	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.