Explainable Fuzzy Systems - Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems (Hardcover, 1st ed. 2021)

The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. 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 of coverage will inspire novel applications and scientific advancements.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 970
Release date:	April 2021
First published:	2021
Authors:	Jose Maria Alonso Moral • Ciro Castiello • Luis Magdalena • Corrado Mencar
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	232
Edition:	1st ed. 2021
ISBN-13:	978-3-03-071097-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-03-071097-1
Barcode:	9783030710972

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