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Min-Max Normalization×組み合わせ距離に基づく評価×
分野意思決定意思決定
系統MCDMMCDM
提唱年19812016
提唱者Hwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
種類Normalization (linear, range-scaling)Distance from anti-ideal (Euclidean + Taxicab)
原典Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗
別名
関連88
概要MIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) is a normalization multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. 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: MIN-MAX-NORMALIZATION · CODAS. 2026-06-15に以下より取得 https://scholargate.app/ja/compare