Modified fuzzy regression functions with a noise cluster against outlier contamination

Expert Systems with Applications(2022)

引用 6|浏览14
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摘要
•A new modified fuzzy regression functions framework is proposed.•The new framework is robust against outlier contamination.•Possibilistic and fuzzy-possibilistic clustering is employed.•The proposed framework performs better than ANNs and SVMs.•Modified fuzzy-possibilistic clustering is a robust algorithm against outliers.
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关键词
Artificial neural networks,Noise cluster,Outlier,Possibilistic clustering,Robustness,Support vector machines
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