ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

邻域自适应有序加权平均法×香农熵权重法×
领域决策决策
方法族MCDMMCDM
起源年份20141948
提出者Malczewski, J.; Liu, X.Shannon, C. E.
类型Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhereInformation-theoretic objective weighting (Shannon entropy)
开创性文献Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
别名
相关88
摘要LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
  1. v1
  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: LOCAL-OWA · ENTROPY. 于 2026-06-18 检索自 https://scholargate.app/zh/compare