Intelligent decision making : an AI-based qpproach
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...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2008. |
| Serier: | Studies in Computational Intelligence
97 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Intelligent decision making, an AI-based approach, Gloria Phillips-Wren, Nikhil Ichalkaranje, Lakhmi C. Jain (eds.), Berlin, Springer, 2008, 1 vol. (XIV-410 p.), Studies in computational intelligence, 978-3-540-76828-9 • Intelligent Decision Making: An AI-Based Approach, Texte imprimé, 9783540846017 • Intelligent Decision Making: An AI-Based Approach, Texte imprimé, 9783642095535 • Intelligent decision making, an AI-based approach, Gloria Phillips-Wren, Nikhil Ichalkaranje, Lakhmi C. Jain (eds.), Berlin, Springer, 2008, 1 vol. (XIV-410 p.), Studies in computational intelligence, 978-3-540-76828-9 |
Indholdsfortegnelse:
- 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