This book offers a comprehensive and interdisciplinary study of Decision Support Systems (DSS), focusing on their theoretical foundations, methodologies, and real-world applications. It explores the complexities of modern decision-making by integrating decision theory, risk analysis, and multi-criteria decision-making (MCDM). The volume covers both structured and unstructured decision contexts, utilizing quantitative and qualitative methods. It also highlights the role of emerging AI technologies. By bridging theory with practice, the book supports the development of intelligent DSS. It is intended for researchers, graduate students, and industry professionals
Chapter 1: Introduction to Decision Making and Decision-Making Processes
Chapter 2: Elements of Decision Analysis: Decision Under
Chapter 3: Introduction to multi-Criteria Methods
Chapter 4: Risk Management in Decision Support Systems