Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation
Interpretable machine learning is trending as it aims to build a human-understandable decision process. There are two main types of machine learning systems: white-box and black-box models. White-box models are inherently interpretable but commonly suffer from under-fitting phenomena; on the other h...
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Veröffentlicht in: | Expert systems with applications 2022-03, Vol.189, p.116098, Article 116098 |
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