集结与分类
49 种方法属于此方法族。
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平均排序AVERAGE-RANKING (Average ranking — per-alternative mean rank) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Orakçı, E. in 2024. It turns a dec平衡SPOTISBALANCED-SPOTIS (Balanced SPOTIS — Balanced Stable Preference Ordering Towards Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Shekhovtsov, Bonferroni 均值 (BM)BONFERRONI-MEAN (Bonferroni Mean (BM)) is a aggregation multi-criteria decision-making (MCDM) method introduced by Bonferroni, C. in 1950. It turns a decision matrix of alternativeBorda CountBORDA (Borda Count — Positional scoring rule for rank aggregation) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Borda, J.-C. de in 1900. It tBrauers & Zavadskas (2014) 优势理论BRAUERS-DOMINANCE (Brauers & Zavadskas (2014) Dominance Theory — used in MultiMOORA aggregation) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by堪培拉距离Canberra distance is a weighted version of the Manhattan distance that normalizes differences by the sum of absolute values. Introduced by Geoffrey Lance and William Williams in 19
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This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.
全部方法 49
平均排序平衡SPOTISBonferroni 均值 (BM)Borda CountBrauers & Zavadskas (2014) 优势理论堪培拉距离Choquet积分孔多塞法共识达成Cook & Seiford (1978)科普兰法数据驱动的多标准决策分析Alpha-Cut Defuzzification质心去模糊化最大值平均法 (MOM) 去模糊化模糊评分函数去模糊化基于双重规范化的多重聚合方法Dodgson 方法基于流的排序方法赫罗尼安平均 (Heronian Mean (HM))Kemeny-Young线性最大值归一化线性求和归一化邻域自适应有序加权平均法对数归一化麦克劳林对称平均算子混合综合归一化技术 (MACONT)中位数排序最小-最大归一化南森向量归一化有序加权平均加权幂平均（霍尔德平均）排序聚合方法基于参考方案的聚合技术Schulze 方法空间有序加权平均法理想解的稳定偏好排序随机加性效用函数 (不确定性下的偏好分解)爱因斯坦 T-范数TOPSIS-SortUTADIS (序进加法效用分析)UTA*向量（L2）归一化加权算术平均值加权投票加权几何平均数加权调和平均数Z分数标准化