Fuzzy Evidence in Identification, Forecasting and Diagnosis (Studies in Fuzziness and Soft Computing, #275)

by Alexander P. Rotshtein and Hanna B. Rakytyanska

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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 evidence in forecasting and diagnosis problem solving.

The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy...

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  • ISBN13 9783642444210
  • Publish Date 22 February 2014 (first published 27 January 2012)
  • Publish Status Active
  • Publish Country DE
  • Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Edition 2012 ed.
  • Format Paperback
  • Pages 313
  • Language English