MCDMDistancecrisp
曼哈顿距离 — 两个向量之间的L1范数（城市街区距离）
DIST-MANHATTAN（曼哈顿距离 — 两个向量之间的L1范数（城市街区距离））是由Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A.于2020年提出的一种距离多标准决策（MCDM）方法。它将评估多个标准得分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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来源
- Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics link ↗
如何引用本页
ScholarGate. (2026, June 2). Manhattan Distance — L1 norm (city-block distance) between two vectors. ScholarGate. https://scholargate.app/zh/decision-making/dist-manhattan
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