Intelligent Decision Making: An AI-Based Approach
Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intellig...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2008, 2008
|
| Edition: | 1st ed. 2008 |
| Series: | Studies in Computational Intelligence
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Background: Human Decision Making
- Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support
- Cognitive Elements of Human Decision Making
- Methods: Computational Intelligence
- to Computational Intelligence for Decision Making
- Collaborative Decision Making Amongst Human and Artificial Beings
- Decision Analysis with Fuzzy Targets
- An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making
- A Replanning Support for Critical Decision Making Situations: A Modelling Approach
- A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support
- Applications: Intelligent Decision Support
- A Consensus Support System for Group Decision Making Problems with Heterogeneous Information
- Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks
- Building Intelligent Sensor Networks with Multiagent Graphical Models
- An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty
- Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective
- Future Directions: Building a Decision Making Framework Using Agent Teams