Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems: Studies in Computational Intelligence, cartea 970
Autor Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, Corrado Mencaren Limba Engleză Paperback – 8 apr 2022
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 1132.81 lei 43-57 zile | |
| Springer International Publishing – 8 apr 2022 | 1132.81 lei 43-57 zile | |
| Hardback (1) | 1138.98 lei 43-57 zile | |
| Springer International Publishing – 8 apr 2021 | 1138.98 lei 43-57 zile |
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Specificații
ISBN-13: 9783030711009
ISBN-10: 3030711005
Ilustrații: XXXI, 232 p. 57 illus., 31 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.38 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030711005
Ilustrații: XXXI, 232 p. 57 illus., 31 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.38 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.
Recenzii
“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)
Textul de pe ultima copertă
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.
Caracteristici
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