New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms

Krystian Łapa; Krzysztof Cpałka; Lipo Wang

doi:10.1007/978-3-319-39378-0_22

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New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms

Krystian Łapa Krzysztof Cpałka Lipo Wang

Year: 2016 Lecture notes in computer science Pages: 248-265 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-39378-0_22

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Keywords:

Interpretability Interpretation (philosophy) Parametric statistics Computer science Nonlinear system Set (abstract data type) Base (topology) Fuzzy logic Adaptive neuro fuzzy inference system Fuzzy set Artificial intelligence Algorithm Mathematics Mathematical optimization Fuzzy control system

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Statistical and Computational Modeling

Physical Sciences → Computer Science → Artificial Intelligence

New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms

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