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基于双重规范化的多重聚合方法×标准差法 (Criterion Impact LOSs objective weighting method)×
领域决策决策
方法族MCDMMCDM
起源年份20202016
提出者Liao, H., Wu, X.Zavadskas, E. K., Podvezko, V.
类型Dual-normalisation aggregation (linear + vector)Relative criterion-loss matrix weighting (Mirkin theorem based)
开创性文献Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
别名
相关88
摘要DNMA (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.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

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ScholarGate方法对比: DNMA · CILOS. 于 2026-06-17 检索自 https://scholargate.app/zh/compare