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Explainable Fuzzy Systems

Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems

  • Book
  • © 2021

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)

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Table of contents (7 chapters)

Keywords

About this book

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 ofcoverage will inspire novel applications and scientific advancements.

Reviews

“The book is self-contained and this feature could appeal to all readers who are novices to the area of fuzzy sets and granular computing. In sum, this is a timely, comprehensive, thorough, and authoritative treatise on explainable fuzzy systems that could be a vital interest to the broad research community.” (Witold Pedrycz, zbMATH 1470.93089, 2021)

Authors and Affiliations

  • Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Jose Maria Alonso Moral

  • Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

    Ciro Castiello, Corrado Mencar

  • Departamento de Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones, ETSI Informáticos, Universidad Politécnica de Madrid, Madrid, Spain

    Luis Magdalena

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

  • Topics: Computational Intelligence, Artificial Intelligence

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