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Min-Max Normalization×単純加重和法×
分野意思決定意思決定
系統MCDMMCDM
提唱年19811967
提唱者Hwang, C. L., Yoon, K.Fishburn, P. C.
種類Normalization (linear, range-scaling)Additive utility (linear)
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 ↗Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research DOI ↗
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.SAW (Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. 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 · SAW. 2026-06-15に以下より取得 https://scholargate.app/ja/compare