Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.This is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating i-DMSS.This book will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.

Part I Foundations of i-DMSSA Multi-criteria Model for the Evaluation of Intelligent Decision-Making Support Systems (i-DMSS)On the Legacy of Herbert Simon and his contribution to Decision Making Support Systems and Artificial IntelligenceSynergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the HorizonFrom Knowledge Discovery to Computational Intelligence: A Framework for Intelligent Decision Support SystemsTaking Decisions into the Wild: An AI Perspective in the Design of i-DMSSDevelopment Processes of Intelligent Decision Making Support Systems: Review and PerspectiveExplanatory Power of Intelligent Systems: Review and Perspective Part II Applications of i-DMSSA New Paradigm for Developing intelligent Decision-Making Support Systems (i-DMSS): A Case Study on the Development of Comparison-Shopping AgentsA Causal Knowledge-Driven Negotiation Mechanism for B2B Electronic CommerceA Simulation Study of Just-In-Time Knowledge Management (JITKM)An IDSS for Regional Aquaculture PlanningAn i-DMSS Based on Bipartite Matching and Heuristics for Rental Bus AllocationMicroDEMON: A Decision-Making Intelligent Assistant for Mobile BusinessUsing System Dynamics and Case Based Reasoning (CBR) to build an Intelligent Decision-Making Support System (i-DMSS) that improves Strategic Public Decisionse-Negotiation Systems and Software Agents: Methods, Models, and ApplicationsKnowledge-Intensive Collaborative Decision Support for Design ProcessThe Application of Semantic Web Technologies for Railway Decision Support Part III Trends of i-DMSSThe Challenge of Supporting Emerging Inference-Based Decision MakingA Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge On-Line ExperienceAn Overview of Future Challenges of Decision Support TechnologiesA challenging future for i-DMSSA Software Laboratory for Advancing Decision Support SimulationA Strategic Descriptive Review of Intelligent Decision-Making Support Systems Research: the 1980-2004 PeriodThe Optimization of What?