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Intelligent Decision-making Support Systems

Foundations, Applications and Challenges
Langbeschreibung
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.
Hauptbeschreibung
"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.
Inhaltsverzeichnis
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?.
Guisseppi A. Forgionne is Professor of Information Systems at the University of Maryland Baltimore County (UMBC). Professor Forgionne holds a B.S. in Commerce and Finance, an M. A. in Econometrics, an M. B. A., and a Ph. D. in Management Science and Econometrics. He has published 25 books and approximately 150 research articles and consulted for a variety of public and private organizations on decision support systems theory and applications. Professor. Forgionne also has served as department chair at UMBC, Mount Vernon College, and Cal Poly Pomona. He has received several national and international awards for his work.
ISBN-13:
9781846282317
Veröffentl:
2007
Seiten:
503
Autor:
Jatinder N. D. Gupta
Serie:
Decision Engineering
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch

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