পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| MEREC-G× | CRITIC-M× | Criteria-based Removal Effects Method× | |
|---|---|---|---|
| ক্ষেত্র | সিদ্ধান্ত গ্রহণ | সিদ্ধান্ত গ্রহণ | সিদ্ধান্ত গ্রহণ |
| পরিবার | MCDM | MCDM | MCDM |
| উদ্ভবের বছর≠ | 2021 | 1995 | 2021 |
| প্রবর্তক≠ | Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al. | Based on Diakoulaki et al.'s CRITIC; modified variants developed later | Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. |
| ধরন≠ | Objective weight derivation via removal impact assessment | Objective weight derivation via correlation and variance | Removal-effect objective weighting (logarithmic utility) |
| মৌলিক উৎস≠ | 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. link ↗ | Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. DOI ↗ | 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 DOI ↗ |
| অপর নাম≠ | MEREC-G, Generalized MEREC | CRITIC-M, Modified CRITIC | — |
| সম্পর্কিত≠ | 3 | 3 | 8 |
| সারসংক্ষেপ≠ | 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. | 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. |
| ScholarGateডেটাসেট ↗ |
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