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Explore the latest advancements in artificial intelligence and deep learning with Progress in Intelligent Decision Science. This volume, part of the Advances in Intelligent Systems and Computing series (1301), provides a deep look into how AI can be applied to solve real-life problems. A major focus of this work is the management of uncertainty. In applied science, decision making often occurs in environments filled with vague concepts and unpredictable data. This book addresses these challenges by connecting new concepts to the practical aspects of making logical decisions under uncertain conditions. Beyond uncertainty, the text covers essential topics including data mining and its role in decision making. Whether you are researching new methodologies or looking for ways to apply machine learning to complex, real-world scenarios, this collection offers a comprehensive look at the evolving field of intelligent systems.