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최소-최대 정규화×단순 가중치 합 (Simple Additive Weighting)×
분야의사결정의사결정
계열MCDMMCDM
기원 연도19811967
창시자Hwang, C. L., Yoon, K.Fishburn, P. C.
유형Normalization (linear, range-scaling)Additive utility (linear)
원전Hwang, 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 ↗
별칭
관련88
요약MIN-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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ScholarGate방법 비교: MIN-MAX-NORMALIZATION · SAW. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare