Editors:
- Highlights recent research on interpretable Artificial Intelligence
- Focuses on a perspective of Granular Computing
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 937)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Department of Electrical and Computer Engineering Edmonton, University of Alberta, Edmonton, Canada
Witold Pedrycz
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Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Shyi-Ming Chen
Bibliographic Information
Book Title: Interpretable Artificial Intelligence: A Perspective of Granular Computing
Editors: Witold Pedrycz, Shyi-Ming Chen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-64949-4
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: 978-3-030-64948-7Published: 27 March 2021
Softcover ISBN: 978-3-030-64951-7Published: 29 March 2022
eBook ISBN: 978-3-030-64949-4Published: 26 March 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 429
Number of Illustrations: 32 b/w illustrations, 138 illustrations in colour