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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 2012. |
| Col·lecció: | Studies in Fuzziness and Soft Computing
275 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy Evidence in Identification, Forecasting and Diagnosis, Texte imprimé, 9783642257858 |
Taula de continguts:
- 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