Design of Interpretable Fuzzy Systems
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...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Series: | Studies in Computational Intelligence,
684 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-52881-6 |
Table of Contents:
- 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.