Intelligent Decision-making Support Systems Foundations, Applications and Challenges /

• Κύριοι συγγραφείς: Gupta, Jatinder N. D. (Συγγραφέας), Forgionne, Guisseppi A. (Συγγραφέας), Mora T., Manuel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2006.
• Σειρά: Decision Engineering,
• Θέματα: Engineering.; Operations research.; Decision making.; Artificial intelligence.; Engineering economics.; Engineering economy.; Engineering Economics, Organization, Logistics, Marketing.; Operation Research/Decision Theory.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).

 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. Intelligent Decision-making Support Systems: Foundations, Applications and Challenges 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 intelligent Decision-making Support Systems. Intelligent Decision-making Support Systems: Foundations, Applications and Challenges 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. The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in ‘engineering’ decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge. 

 Foundations of Intelligent Decision-making Support Systems -- A Multicriteria 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 Intelligence -- Synergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the Horizon -- From Knowledge Discovery to Computational Intelligence: A Framework for Intelligent Decision Support Systems -- Taking Decisions into the Wild: An AI Perspective in the Design of i-DMSS -- Development Processes of Intelligent Decision-making Support Systems: Review and Perspective -- Explanatory Power of Intelligent Systems -- Applications of Intelligent Decision-making Support Systems -- A New Paradigm for Developing Intelligent Decision-making Support Systems (i-DMSS): A Case Study on the Development of Comparison-Shopping Agents -- A Causal Knowledge-driven Negotiation Mechanism for B2B Electronic Commerce -- A Simulation Study of Just-in-time Knowledge Management (JITKM) -- An IDSS for Regional Aquaculture Planning -- An i-DMSS Based on Bipartite Matching and Heuristics for Rental Bus Allocation -- MicroDEMON: A Decision-making Intelligent Assistant for Mobile Business -- Using System Dynamics and Case-based Reasoning (CBR) to Build an Intelligent Decision-making Support System (i-DMSS) that Improves Strategic Public Decisions -- e-Negotiation Systems and Software Agents: Methods, Models, and Applications -- Knowledge-intensive Collaborative Decision Support for Design Process -- The Application of Semantic Web Technologies for Railway Decision Support -- Trends of Intelligent Decision-making Support Systems -- The Challenge of Supporting Emerging Inference-based Decision-making -- A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge Online Experience -- An Overview of Future Challenges of Decision Support Technologies -- A Challenging Future for i-DMSS -- A Software Laboratory for Advancing Decision Support Simulation -- A Strategic Descriptive Review of the Intelligent Decision-making Support Systems Research: the 1980–2004 Period -- The Optimization of What?.