MCDMWeight Objectivecrisp
准则重要性对数分解法
准则重要性对数分解法（LODECI）是O. Pala于2024年提出的一种客观赋权多准则决策（MCDM）方法。它将替代方案在多个准则上评分的决策矩阵转化为结构化、可重现的结果。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI: 10.1016/j.eswa.2023.121846 ↗
如何引用本页
ScholarGate. (2026, June 2). LOgarithmic DEcomposition of Criteria Importance. ScholarGate. https://scholargate.app/zh/decision-making/lodeci
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.
- AHPSort决策↔ compare
- 自动成对线性排序组合决策↔ compare
- 加法比率评估决策↔ compare
- AROMAN（考虑双步归一化的排序顺序方法）决策↔ compare
- 基于自适应标准化区间的替代方案排序技术决策↔ compare
- 综合基于距离的排序决策↔ compare
- 组合折衷解决策↔ compare
- 组合距离评估法决策↔ compare