Foundations of Computational Intelligence Volume 2 : Approximate Reasoning /
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
202 |
| Materias: |
Tabla de Contenidos:
- Approximate Reasoning - Theoretical Foundations and Applications
- Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox
- Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness
- Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas
- Paraconsistent Annotated Logic Program Before-after EVALPSN and Its Application
- Approximate Reasoning - Success Stories and Real World Applications
- A Fuzzy Set Approach to Software Reliability Modeling
- Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management
- A Bayesian Solution to the Modifiable Areal Unit Problem
- Fuzzy Logic Control in Communication Networks
- Adaptation in Classification Systems
- Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match
- Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network
- An Overview of Fuzzy C-Means Based Image Clustering Algorithms.