Information Processing and Management of Uncertainty in Knowledge-Based Systems

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.

Presents recent research on Information Processing and Management in Uncertainty in Knowledge-Based Systems Brings together theoreticians and practitioners working on methods for the management of uncertainty and aggregation Covers International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Inhalt

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.