MCDMRankingcrisp
理想解相似优劣排序法
TOPSIS（理想解相似优劣排序法）是由Hwang, C. L.和Yoon, K.于1981年提出的一种排序多准则决策（MCDM）方法。它将评分多个准则的备选方案的决策矩阵转化为结构化、可复现的结果。
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Method map
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来源
- Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI: 10.1007/978-3-642-48318-9 ↗
如何引用本页
ScholarGate. (2026, June 2). Technique for Order of Preference by Similarity to Ideal Solution. ScholarGate. https://scholargate.app/zh/decision-making/topsis
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
平均排序Brauers & Zavadskas (2014) 优势理论孔多塞法Cook & Seiford (1978)数据驱动的多标准决策分析Alpha-Cut Defuzzification面积平分线去模糊化质心去模糊化高斯质心去模糊最大值平均法 (MOM) 去模糊化模糊评分函数去模糊化类型归约去模糊化欧氏距离Dodgson 方法加权模糊对数方法 (TFN)模糊完全一致性方法 (TFN)模糊BWM模糊TOPSIS (Chen-Hwang 1992)基于地理信息系统的多准则决策分析 (GIS-MCDA)KEmeny Median Indicator Ranks Accordance麦克劳林对称平均算子中位数排序最小-最大归一化南森向量归一化PiF-TOPSISPROMETHEE-GAIA偏好选择指数序数向量偏好简单聚合准则与方案的同步评估简化中智犹豫模糊环境下的最大偏差 TOPSIS随机加性效用函数 (不确定性下的偏好分解)Z数层次分析法Z数最优最差法