Design of Interpretable Fuzzy Systems

• Κύριος συγγραφέας: Cpałka, Krzysztof (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 684
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required...

Πίνακας περιεχομένων:

• Preface
• Acknowledgements
• Chapter1: Introduction
• Chapter2: Selected topics in fuzzy systems designing
• Chapter3: Introduction to fuzzy system interpretability
• Chapter4: Improving fuzzy systems interpretability by appropriate selection of their structure
• Chapter5: Interpretability of fuzzy systems designed in the process of gradient learning
• Chapter6: Interpretability of fuzzy systems designed in the process of evolutionary learning
• Chapter7: Case study: interpretability of fuzzy systems applied to nonlinear modelling and control
• Chapter8: Case study: interpretability of fuzzy systems applied to identity verification
• Chapter9: Concluding remarks and future perspectives
• Index.