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Fuzzy Evidence in Identification, Forecasting and Diagnosis
The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evide...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Studies in Fuzziness and Soft Computing,
275 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Preface
- Fundamentals of intellectual technologies
- Direct inference based on fuzzy rules
- Fuzzy rules tuning for direct inference
- Fuzzy rules extraction from experimental data
- Inverse inference based on fuzzy relational equations
- Inverse inference with fuzzy relations tuning
- Inverse inference based on fuzzy rules
- Fuzzy relations extraction from experimental data
- Applied fuzzy systems.