Intelligent Decision Making: An AI-Based Approach
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
97 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-540-76829-6 |
Tabla de Contenidos:
- 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.