Ebook: Intelligent Decision-making Support Systems: Foundations, Applications and Challenges
- Tags: Engineering Economics Organization Logistics Marketing, Operations Research/Decision Theory, Artificial Intelligence (incl. Robotics), Information Systems Applications (incl.Internet)
- Series: Decision Engineering
- Year: 2006
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
A Multicriteria Model for the Evaluation of Intelligent Decision-making Support Systems (i-DMSS)....Pages 3-24
On the Legacy of Herbert Simon and his Contribution to Decision-making Support Systems and Artificial Intelligence....Pages 25-43
Synergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the Horizon....Pages 45-55
From Knowledge Discovery to Computational Intelligence: A Framework for Intelligent Decision Support Systems....Pages 57-78
Taking Decisions into the Wild: An AI Perspective in the Design of i-DMSS....Pages 79-96
Development Processes of Intelligent Decision-making Support Systems: Review and Perspective....Pages 97-121
Explanatory Power of Intelligent Systems....Pages 123-143
Front Matter....Pages 145-145
A New Paradigm for Developing Intelligent Decision-making Support Systems (i-DMSS): A Case Study on the Development of Comparison-Shopping Agents....Pages 147-165
A Causal Knowledge-driven Negotiation Mechanism for B2B Electronic Commerce....Pages 167-186
A Simulation Study of Just-in-time Knowledge Management (JITKM)....Pages 187-197
An IDSS for Regional Aquaculture Planning....Pages 199-218
An i-DMSS Based on Bipartite Matching and Heuristics for Rental Bus Allocation....Pages 219-235
MicroDEMON: A Decision-making Intelligent Assistant for Mobile Business....Pages 237-254
Using System Dynamics and Case-based Reasoning (CBR) to Build an Intelligent Decision-making Support System (i-DMSS) that Improves Strategic Public Decisions....Pages 255-270
e-Negotiation Systems and Software Agents: Methods, Models, and Applications....Pages 271-300
Knowledge-intensive Collaborative Decision Support for Design Process....Pages 301-320
The Application of Semantic Web Technologies for Railway Decision Support....Pages 321-337
Front Matter....Pages 339-339
The Challenge of Supporting Emerging Inference-based Decision-making....Pages 341-357
A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge Online Experience....Pages 359-383
An Overview of Future Challenges of Decision Support Technologies....Pages 385-399
Front Matter....Pages 339-339
A Challenging Future for i-DMSS....Pages 401-422
A Software Laboratory for Advancing Decision Support Simulation....Pages 423-440
A Strategic Descriptive Review of the Intelligent Decision-making Support Systems Research: the 1980–2004 Period....Pages 441-462
The Optimization of What?....Pages 463-481
Back Matter....Pages 483-503
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.
Content:
Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
A Multicriteria Model for the Evaluation of Intelligent Decision-making Support Systems (i-DMSS)....Pages 3-24
On the Legacy of Herbert Simon and his Contribution to Decision-making Support Systems and Artificial Intelligence....Pages 25-43
Synergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the Horizon....Pages 45-55
From Knowledge Discovery to Computational Intelligence: A Framework for Intelligent Decision Support Systems....Pages 57-78
Taking Decisions into the Wild: An AI Perspective in the Design of i-DMSS....Pages 79-96
Development Processes of Intelligent Decision-making Support Systems: Review and Perspective....Pages 97-121
Explanatory Power of Intelligent Systems....Pages 123-143
Front Matter....Pages 145-145
A New Paradigm for Developing Intelligent Decision-making Support Systems (i-DMSS): A Case Study on the Development of Comparison-Shopping Agents....Pages 147-165
A Causal Knowledge-driven Negotiation Mechanism for B2B Electronic Commerce....Pages 167-186
A Simulation Study of Just-in-time Knowledge Management (JITKM)....Pages 187-197
An IDSS for Regional Aquaculture Planning....Pages 199-218
An i-DMSS Based on Bipartite Matching and Heuristics for Rental Bus Allocation....Pages 219-235
MicroDEMON: A Decision-making Intelligent Assistant for Mobile Business....Pages 237-254
Using System Dynamics and Case-based Reasoning (CBR) to Build an Intelligent Decision-making Support System (i-DMSS) that Improves Strategic Public Decisions....Pages 255-270
e-Negotiation Systems and Software Agents: Methods, Models, and Applications....Pages 271-300
Knowledge-intensive Collaborative Decision Support for Design Process....Pages 301-320
The Application of Semantic Web Technologies for Railway Decision Support....Pages 321-337
Front Matter....Pages 339-339
The Challenge of Supporting Emerging Inference-based Decision-making....Pages 341-357
A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge Online Experience....Pages 359-383
An Overview of Future Challenges of Decision Support Technologies....Pages 385-399
Front Matter....Pages 339-339
A Challenging Future for i-DMSS....Pages 401-422
A Software Laboratory for Advancing Decision Support Simulation....Pages 423-440
A Strategic Descriptive Review of the Intelligent Decision-making Support Systems Research: the 1980–2004 Period....Pages 441-462
The Optimization of What?....Pages 463-481
Back Matter....Pages 483-503
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