MCDMRankingcrisp
Proximity-Adjusted WLC — 空间显式加权线性组合
PROXIMITY-WLC（Proximity-Adjusted WLC — 空间显式加权线性组合）是由 Rinner, C. 和 Heppleston, A. 于 2006 年提出的一种排序多准则决策（MCDM）方法。它将一个在多个准则上进行评分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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Method map
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来源
- Rinner, C., Heppleston, A. (2006). The spatial dimensions of multi-criteria evaluation — case study of a home buyer's spatial decision support system. Lecture Notes in Computer Science (GIScience 2006) DOI: 10.1007/11863939_22 ↗
如何引用本页
ScholarGate. (2026, June 2). Proximity-Adjusted WLC — spatially explicit weighted linear combination. ScholarGate. https://scholargate.app/zh/decision-making/proximity-wlc
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.
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