Fuzzy Evidence in Identification, Forecasting and Diagnosis

• Main Authors: Rotshtein, Alexander P. (Author), Rakytyanska, Hanna B. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Studies in Fuzziness and Soft Computing, 275
• Subjects: 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...

Table of Contents:

• 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.