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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...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2012
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-25786-5 http://cds.cern.ch/record/1501748 |