Information Processing and Management of Uncertainty in Knowledge-Based Systems -

Information Processing and Management of Uncertainty in Knowledge-Based Systems

20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 3
Buch | Softcover
XX, 430 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-73996-5 (ISBN)
213,99 inkl. MwSt

This book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas.

The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024.

The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno.

The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty.

Suppressing impulse noise via cloud filtering.- A Proposed Liver Cancer Classification.- Estimating the registration error of brain MRI data based on regression U-Net.- User-friendly health-conscious recipe adaptation system using fuzzy linguistic variables.- Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-By-Level Association Rule Mining.

Erscheint lt. Verlag 15.2.2025
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo XX, 430 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Computational Intelligence • Information Processing • IPMU • IPMU 2024 • Knowledge- Based Systems • Uncertainty
ISBN-10 3-031-73996-5 / 3031739965
ISBN-13 978-3-031-73996-5 / 9783031739965
Zustand Neuware
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