เปรียบเทียบวิธี

	CRITIC-M	วิธีที่อิงตามผลกระทบจากการตัดเกณฑ์ออก
สาขาวิชา	การตัดสินใจ	การตัดสินใจ
ตระกูล	MCDM	MCDM
ปีกำเนิด	1995	2021
ผู้ริเริ่ม	Based on Diakoulaki et al.'s CRITIC; modified variants developed later	Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
ประเภท	Objective weight derivation via correlation and variance	Removal-effect objective weighting (logarithmic utility)
แหล่งต้นตำรับ	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., 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
ชื่อเรียกอื่น	CRITIC-M, Modified CRITIC	—
ที่เกี่ยวข้อง	3	8
สรุป	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 (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.