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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Allg. & Lexika Fuzzy Evidence in Identification, Forecasting and Diagnosis
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Fuzzy Evidence in Identification, Forecasting and Diagnosis
Alexander P. Rotshtein, Hanna B. Rakytyanska (Broschiert, Englisch)
Optischer Zustand
Beschreibung
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 rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis. 160,49 €
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Technische Daten
Erscheinungsdatum
22.02.2014
Sprache
Englisch
EAN
9783642444210
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Studies in Fuzziness and Soft Computing
Sonderedition
Nein
Autor
Alexander P. Rotshtein, Hanna B. Rakytyanska
Seitenanzahl
313
Einbandart
Broschiert
Schlagwörter
Direct Inference, Fuzzy Relational Equations, Fuzzy Relations, Fuzzy Relations Tuning, Fuzzy Rules Tuning, Fuzzy Sets, Genetic Algorithms, Identification, Inverse Inference, Neural Networks, Optimization, Rules Extraction
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYM - Computermodellierung und -simulation
UYQP - Mustererkennung
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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