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이중 정규화 기반 다중 집계×Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법×
분야의사결정의사결정
계열MCDMMCDM
기원 연도20202010
창시자Liao, H., Wu, X.Wang, Y. M., Luo, Y.
유형Dual-normalisation aggregation (linear + vector)Correlation-penalised standard-deviation weighting
원전Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
별칭
관련88
요약DNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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