£107.85

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£108 today · previous high £108 · all-time low £93

Springer Fuzzy Evidence in Identification, Forecasting and Diagnosis - Springer

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£107.85 £91.52 £95.08 £98.64 £102.21 £105.77 £109.34 28 July 2026 15 August 2026 03 September 2026 22 September 2026 11 October 2026
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Description

This comprehensive academic volume explores methodology for designing and tuning fuzzy expert systems to identify nonlinear objects and build input-output models using expert and experimental information. Part of Springer's Studies in Fuzziness and Soft Computing series (volume 275), the book provides essential knowledge on fuzzy sets, genetic algorithms and neural networks in its opening chapters. Subsequent sections analyse direct fuzzy inference based on fuzzy logic principles, with applications to forecasting and diagnosis problem solving. The text bridges theoretical foundations and practical implementation, making it valuable for researchers and practitioners in artificial intelligence, machine learning and computational intelligence seeking to understand and apply fuzzy logic methodologies to real-world identification and predictive challenges.

Key Features

Springer-published academic text covering fuzzy expert system design and tuning for nonlinear object identification.

Presents foundational knowledge on fuzzy sets, genetic algorithms and neural networks essential for advanced fuzzy logic applications.

Explores direct and inverse fuzzy evidence methodologies for forecasting and diagnosis problem solving across various domains.

Part of the established Studies in Fuzziness and Soft Computing series, providing research-grade content for machine learning professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 January 2012
Listed Since
29 October 2011

Barcode

No barcode data available

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