Fuzzy Evidence in Identification, Forecasting and Diagnosis

• Κύριοι συγγραφείς: Rotshtein, Alexander P. (Συγγραφέας), Rakytyanska, Hanna B. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Studies in Fuzziness and Soft Computing, 275
• Θέματα: Engineering.; Computer simulation.; Pattern recognition.; Computational intelligence.; Computational Intelligence.; Simulation and Modeling.; Pattern Recognition.

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...

Πίνακας περιεχομένων:

• 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.