Handbook on Decision Making : Vol 1: Techniques and Applications /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Intelligent Systems Reference Library,
4 |
| Materias: |
Tabla de Contenidos:
- Modelling and Design Techniques for Intelligent Decision Support Systems
- Advances in Intelligent Decision Making
- IDSSE-M: Intelligent Decision Support Systems Engineering Methodology
- Shape Design of Products Based on a Decision Support System
- Enhancing Decision Support System with Neural Fuzzy Model and Simple Model Visualizations
- Computational Agents in Complex Decision Support Systems
- A Multi-criteria Decision-Support Approach to Sustainable Rural Energy in Developing Countries
- A Decision Making System Based on Complementary Learning
- A Forecasting Support System Based on Exponential Smoothing
- Reinforcement Based U-Tree: A Novel Approach for Solving POMDP
- On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems
- Reviews and Applications of Intelligent Decision Support Systems
- Decision Support Systems in Transportation
- Decision Support Systems for the Food Industry
- Building a Decision Support System for Urban Design Based on the Creative City Concept
- Fuzzy Prices in Combinatorial Auction
- Application of Artificial Neural Network to Fire Safety Engineering
- Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design
- A Cognitive Interpretation of Thermographic Images Using Novel Fuzzy Learning Semantic Memories
- Adaptive Fuzzy Inference Neural Network System for EEG Signal Classification
- A Systematic Approach to the Design of a Case-Based Reasoning System for Attention-Deficit Hyperactivity Disorder
- A NeuroCognitive Approach to Decision Making for the Reconstruction of the Metabolic Insulin Profile of a Healthy Person
- Erratum
- Erratum: Fuzzy Prices in Combinatorial Auction.