Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications / Studies in Fuzziness and Soft Computing Bd.394 (PDF)
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This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends in the research community in order to provide readers with a rich primer. It presents an overview of various soft computing topics and approximate reasoning-based approaches, both from theoretical and applied perspectives. Numerous topics are covered: fundamentals aspects of fuzzy sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems. This book is dedicated to Bernadette Bouchon-Meunier in honor of her achievements in Computational Intelligence, which, throughout her career, have included profuse and diverse collaborations, both thematically and geographically.
- 2020, 1st ed. 2021, 297 Seiten, Englisch
- Herausgegeben: Marie-Jeanne Lesot, Christophe Marsala
- Verlag: Springer International Publishing
- ISBN-10: 3030543412
- ISBN-13: 9783030543419
- Erscheinungsdatum: 26.10.2020
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- Größe: 6.64 MB
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