Explainable fuzzy systems : paving the way from interpretable fuzzy systems to explainable AI systems / Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, Corrado Mencar.
2021
Q335
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Title
Explainable fuzzy systems : paving the way from interpretable fuzzy systems to explainable AI systems / Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, Corrado Mencar.
ISBN
9783030710989 (electronic bk.)
303071098X (electronic bk.)
9783030710972
3030710971
303071098X (electronic bk.)
9783030710972
3030710971
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-71098-9 doi
Call Number
Q335
Dewey Decimal Classification
006.3/3
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 14, 2021).
Series
Studies in computational intelligence ; v. 970. 1860-949X
Available in Other Form
Print version: 9783030710972
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Table of Contents
Toward Explainable Artificial Intelligence through Fuzzy Systems
An Overview of Fuzzy Systems
Interpretability Constraints and Criteria for Fuzzy Systems
Revisiting Indexes for Assessing Interpretability of Fuzzy Systems
Designing Interpretable Fuzzy Systems.
An Overview of Fuzzy Systems
Interpretability Constraints and Criteria for Fuzzy Systems
Revisiting Indexes for Assessing Interpretability of Fuzzy Systems
Designing Interpretable Fuzzy Systems.