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Rough-ARAS×基準インパクト損失客観重み付け法×
分野意思決定意思決定
系統MCDMMCDM
提唱年20212016
提唱者Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.Zavadskas, E. K., Podvezko, V.
種類Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)Relative criterion-loss matrix weighting (Mirkin theorem based)
原典Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
別名
関連88
概要ROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGate手法を比較: ROUGH-ARAS · CILOS. 2026-06-17に以下より取得 https://scholargate.app/ja/compare