Interpretable neural networks based on continuous-valued logic and multicriteria decision operators

6 Oct 2019Orsolya CsiszárGábor CsiszárJózsef Dombi

Combining neural networks with continuous logic and multicriteria decision making tools can reduce the black box nature of neural models. In this study, we show that nilpotent logical systems offer an appropriate mathematical framework for a hybridization of continuous nilpotent logic and neural models, helping to improve the interpretability and safety of machine learning... (read more)

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