Decision Support System Tools and Techniques provides a comprehensive overview of the fundamental and advanced methods used in the development of Decision Support Systems (DSS). Beginning with an introduction to DSS concepts, the book explores a wide range of decision-making tools including decision trees, decision tables, predicate logic, as well as fuzzy theory and fuzzy logic for handling uncertainty in analytical processes.

The book further examines various network-based tools such as GERT, Q-GERT, Petri Nets, and Markov Chains, which are essential for modeling complex systems and stochastic processes. It also discusses case-based reasoning methods and a broad set of Multi-Criteria Decision Analysis (MCDA) techniques that support structured decision-making across multiple criteria.

Advanced topics such as Spatial Decision Support Systems (SDSS) and Intelligent Decision Support Systems (IDSS) are highlighted alongside the roles of data warehousing and data mining in enhancing decision analysis. Numerous examples, case studies, and a dedicated chapter on DSS software provide practical insights into real-world applications of these techniques.

By presenting recent developments and identifying potential future research directions, this book serves as a valuable reference for researchers and graduate students in information systems, data analytics, operations research, management, and computer science who seek to design and implement effective and intelligent decision support solutions.