Overview
- Explains in details how fuzzy models can participate in the construction of decision systems
- This remarkable book establishes a bridge with natural language processing and automatic text generation and it proposes solutions to deal with the well-known interpretability-accuracy trade-off
- Covers all aspects of interpretability of fuzzy rule-based systems, from interpretability rating to directly exploitable software
- It paves the way for a greater involvement of fuzzy methods in Explainable Artificial Intelligence
Part of the book series: Studies in Computational Intelligence (SCI, volume 970)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software.
The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth ofcoverage will inspire novel applications and scientific advancements.
Similar content being viewed by others
Keywords
Table of contents (7 chapters)
Reviews
Authors and Affiliations
Bibliographic Information
Book Title: Explainable Fuzzy Systems
Book Subtitle: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems
Authors: Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, Corrado Mencar
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-71098-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-71097-2Published: 08 April 2021
Softcover ISBN: 978-3-030-71100-9Published: 08 April 2022
eBook ISBN: 978-3-030-71098-9Published: 07 April 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXXI, 232
Number of Illustrations: 26 b/w illustrations, 31 illustrations in colour