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최소-최대 정규화×다속성 경계 근사 영역 비교×절충 해법에 따른 대안 측정 및 순위 결정×
분야의사결정의사결정의사결정
계열MCDMMCDMMCDM
기원 연도198120152020
창시자Hwang, C. L., Yoon, K.Pamučar, D., Ćirović, G.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
유형Normalization (linear, range-scaling)Border approximation area (distance from BAA)Utility function (ideal + anti-ideal reference)
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 ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗
별칭
관련888
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.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. 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 · MABAC · MARCOS. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare