|
 Название: Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems
Автор: Alonso Moral, J.M., Castiello, C., Magdalena, L., Mencar, C.
Издательство: Springer
Год: 2021
Формат: true pdf/epub
Страниц: 253
Размер: 16.8 Mb
Язык: English
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.
|
Автор: buratino 8-04-2021, 10:35 | Напечатать
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
|
|
|
Разделы сайта
Авторизация
Реклама
Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems 
