This handbook investigates the multifaceted nature of decision-making processes, particularly within the context of artificial intelligence and complex systems. It aims to provide a comprehensive overview of current research and methodologies, drawing upon contributions from leading experts in the field. The book explores theoretical frameworks, practical applications, and future directions in the study of intelligent decision support systems, addressing challenges in uncertainty, risk, and optimization.

The 'Handbook on Decision Making' is recognized as a significant contribution to the field, offering a broad survey of decision-making theories and applications, especially those relevant to artificial intelligence. Its strength lies in the compilation of diverse perspectives from various researchers, providing a valuable resource for academics and practitioners. The book is structured to cover both foundational concepts and advanced topics, making it a comprehensive reference for understanding complex decision processes.