MCDMRankingcrisp
AROMAN（考虑双步归一化的排序顺序方法）
AROMAN（Alternative Ranking Order Method Accounting for Two-Step Normalisation）是由Zdravković, M., Hamid, M., Radovanović, M.于2022年提出的一种排序多准则决策（MCDM）方法。它将评估多个准则的备选方案决策矩阵转化为结构化、可复现的结果。
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来源
- Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
如何引用本页
ScholarGate. (2026, June 2). Alternative Ranking Order Method Accounting for Two-Step Normalisation. ScholarGate. https://scholargate.app/zh/decision-making/aroman
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 层次分析法决策↔ compare
- Analytic Network Process (ANP，具有反馈和相互依赖性的AHP)决策↔ compare
- 最佳-最差法 (Best-Worst Method)决策↔ compare
- 贝叶斯BWM决策↔ compare
- 标准差与相关系数客观赋权法决策↔ compare
- 标准差法 (Criterion Impact LOSs objective weighting method)决策↔ compare
- CIMAS (Criterion Impact MeAsurement System)决策↔ compare
- 准则重要性通过准则间相关性 (CRITIC)决策↔ compare
被引用于
层次分析法Analytic Network Process (ANP，具有反馈和相互依赖性的AHP)基于斜率系数的模糊权重命名法（三角模糊扩展）最佳-最差法 (Best-Worst Method)贝叶斯BWM标准差与相关系数客观赋权法标准差法 (Criterion Impact LOSs objective weighting method)CIMAS (Criterion Impact MeAsurement System)准则重要性通过准则间相关性 (CRITIC)基于DEMATEL的ANP德尔菲法决策试验与评估实验室定义排序标准之间的相互关系香农熵权重法因子关系赋权法全一致法模糊AROMAN模糊德尔菲法基尼系数加权客观评价标准权重集成确定法层级基础权重评估准则重要性对数分解法基于对数百分比变化的客观赋权法基于类别评估技术的吸引力测量基于标准移除效应的方法改进的PSI方法用于客观赋权（改进的偏好选择指数赋权）确定客观标准权重的НМД方法PCA权重PIvot Pairwise RElative Criteria Importance Assessment修订版Simos程序ROC标准差权重简单权重计算SMART权重步骤权重评估比率分析摆动权重法基于斜率系数的目标权重确定方法加权影响非线性评估系统