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...

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Bibliographic Details
Main Authors: Rotshtein, Alexander P. (Author, http://id.loc.gov/vocabulary/relators/aut), Rakytyanska, Hanna B. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Studies in Fuzziness and Soft Computing, 275
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-25786-5
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