MCDMRankingcrisp
局部加权线性组合 (Local WLC — neighbourhood-adaptive weighted linear combination)
LOCAL-WLC (局部加权线性组合 — 邻域自适应加权线性组合) 是一种排序多标准决策 (MCDM) 方法，由 J. Malczewski 于 2011 年提出。它将评分多个标准的方案决策矩阵转化为结构化、可复现的结果。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Malczewski, J. (2011). Local weighted linear combination. Transactions in GIS DOI: 10.1111/j.1467-9671.2011.01275.x ↗
如何引用本页
ScholarGate. (2026, June 2). Local WLC — neighbourhood-adaptive weighted linear combination. ScholarGate. https://scholargate.app/zh/decision-making/local-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.
- 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
- 准则重要性通过准则间相关性 (CRITIC)决策↔ compare
- 香农熵权重法决策↔ compare
- 全一致法决策↔ compare
- 基于标准移除效应的方法决策↔ compare
- 步骤权重评估比率分析决策↔ compare