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.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.
Inhaltsverzeichnis
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?
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:
9781849965620
Veröffentl:
2010
Erscheinungsdatum:
22.10.2010
Seiten:
528
Autor:
Jatinder N. D. Gupta
Gewicht:
791 g
Format:
235x155x29 mm
Serie:
Decision Engineering
Sprache:
Englisch

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