Jatinder N.D. Gupta,
Guisseppi A. Forgionne,
Manuel Mora T.
Springer London
0e druk, 2010
9781849965620
Intelligent Decision-making Support Systems
Foundations, Applications and Challenges
Specificaties
Paperback, 503 blz.
|
Engels
Springer London |
0e druk, 2010
ISBN13: 9781849965620
Rubricering
Onderdeel van serie
Decision Engineering
Levertijd ongeveer 8 werkdagen
Samenvatting
This book will be bought by researchers and graduates students in Artificial Intelligence and management as well as practising managers and consultants interested in the application of IT and information systems in real business environment.
Specificaties
ISBN13:9781849965620
Taal:Engels
Bindwijze:paperback
Aantal pagina's:503
Uitgever:Springer London
Druk:0
Serie:Decision Engineering
Inhoudsopgave
Part I Foundations of i-DMSS
A 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 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 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 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?
A 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 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 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 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?