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PCA 가중치×자동 쌍대 선형 순서 결합×2단계 정규화를 고려한 대안 순위 결정 방법×
분야의사결정의사결정의사결정
계열MCDMMCDMMCDM
기원 연도190120202022
창시자Pearson, K.Konstantinos, N., Xenakis, A., Kehagias, A.Zdravković, M., Hamid, M., Radovanović, M.
유형Weight_Objective (PCA variance explained, eigenvector-based)Pairwise dominance aggregation (automatic combination)Two-step normalisation (linear + vector) with weighted power aggregation
원전Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
별칭
관련888
요약PCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pearson, K. in 1901. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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