Intelligent Decision-making Support Systems

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Foundations, Applications and Challenges, Decision Engineering

ISBN: 1846282284
ISBN 13: 9781846282287
Herausgeber: Jatinder N D Gupta/Guisseppi A Forgionne/Manuel Mora T
Verlag: Springer Verlag GmbH
Umfang: xxiv, 503 S., 105 s/w Illustr., 503 p. 105 illus.
Erscheinungsdatum: 05.04.2006
Auflage: 1/2006
Produktform: Gebunden/Hardback
Einband: GEB

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.

Artikelnummer: 1513510 Kategorie:

Beschreibung

InhaltsangabePart I Foundations of i-DMSS A Multicriteria Model for the Evaluation of Intelligent DecisionMaking Support Systems (iDMSS) 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: Review and Perspective Part II Applications of i-DMSS 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 iDMSS 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 eNegotiation Systems and Software Agents: Methods, Models, and Applications KnowledgeIntensive Collaborative Decision Support for Design Process The Application of Semantic Web Technologies for Railway Decision Support Part III Trends of i-DMSS The Challenge of Supporting Emerging Inference-Based Decision Making A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge On-Line 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 Intelligent Decision-Making Support Systems Research: the 1980-2004 Period The Optimization of What?

Autorenporträt

InhaltsangabePart I Foundations of i-DMSS A Multicriteria Model for the Evaluation of Intelligent DecisionMaking Support Systems (iDMSS) 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: Review and Perspective Part II Applications of i-DMSS 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 iDMSS 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 eNegotiation Systems and Software Agents: Methods, Models, and Applications KnowledgeIntensive Collaborative Decision Support for Design Process The Application of Semantic Web Technologies for Railway Decision Support Part III Trends of i-DMSS The Challenge of Supporting Emerging Inference-Based Decision Making A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge On-Line 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 Intelligent Decision-Making Support Systems Research: the 1980-2004 Period The Optimization of What?

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