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基準の除去効果に基づく方法×二段階正規化を考慮した代替順位付け手法×
分野意思決定意思決定
系統MCDMMCDM
提唱年20212022
提唱者Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.Zdravković, M., Hamid, M., Radovanović, M.
種類Removal-effect objective weighting (logarithmic utility)Two-step normalisation (linear + vector) with weighted power aggregation
原典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 ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
別名
関連88
概要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.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateデータセット
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  3. PUBLISHED

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ScholarGate手法を比較: MEREC · AROMAN. 2026-06-17に以下より取得 https://scholargate.app/ja/compare