Intelligent Systems for Knowledge Management
New approaches are needed that could move us towards developing effective systems for problem solving and decision making, systems that can deal with complex and ill-structured situations, systems that can function in information rich environments, systems that can cope with imprecise information, s...
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| Other Authors: | , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Studies in Computational Intelligence,
252 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-04170-9 |
Table of Contents:
- Learning Automata-based Solutions to Stochastic Nonlinear Resource Allocation Problems
- Neural Networks in Model Predictive Control
- Application of a Multi-domain Knowledge Structure: The Decisional DNA
- Intelligent-based Mobility Models for Data Management in Wireless Sensor Networks
- Abductive Inference Based Approach to DSS Designing for Project Portfolio Planning
- CSP Techniques for Solving Combinatorial Queries within Relational Databases
- Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps -A Comparative Study
- An Architecture for the Semantic Enhancement of Virtual Engineering Applications
- Effective Backbone Techniques for Ontology Integration
- Cluster Analysis in Personalized E-learning Systems
- Agent-based Modelling and Analysis of Air Traffic Organisations
- Identification of Contact Conditions by Active Force Sensing
- Modelling User-Centric Pervasive Adaptive Systems The REFLECT Ontology.