ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

최소-최대 정규화×이상해결책과의 유사성에 따른 선호도 순위 결정 기법×
분야의사결정의사결정
계열MCDMMCDM
기원 연도19811981
창시자Hwang, C. L., Yoon, K.Hwang, C. L., Yoon, K.
유형Normalization (linear, range-scaling)Distance-based (compromise)
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 ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag 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.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking 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.
ScholarGate데이터셋
  1. v1
  2. 1 출처
  3. PUBLISHED
  1. v1
  2. 1 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: MIN-MAX-NORMALIZATION · TOPSIS. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare