Meta fuzzy feature-selection-based regression functions

Nihat Tak

doi:10.1016/j.asoc.2026.114592

2026-01-09

PRE

Nihat Tak *

Aylin Uçan

DOI：10.1016/j.asoc.2026.114592

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摘要

En 中文

• MFRFs支持具有高变异性或不确定性的回归问题的决策制定。 • MFRFs通过将相关的回归方法聚合到同一函数中，获得更准确的结果。 • MFRFs基于每个方法都携带有关数据集的有用预测信息的假设。 • MFRFs利用模糊聚类，从多样化的模型性能中构建可解释且稳健的回归函数。

期刊

Applied Soft Computing

IF:

6.6

论文数:

1.4W

被引数:

4.8W

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暂无机构信息

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