Fuzzy Evidence in Identification, Forecasting and Diagnosis
Springer Berlin (Verlag)
978-3-642-25785-8 (ISBN)
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.
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.
Erscheint lt. Verlag | 27.1.2012 |
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Reihe/Serie | Studies in Fuzziness and Soft Computing |
Zusatzinfo | XIV, 313 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 600 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik | |
Schlagworte | Direct Inference • Fuzzy-Logik • Fuzzy-Logik / Unscharfe Logik • Fuzzy Relational Equations • fuzzy relations • Fuzzy Relations Tuning • Fuzzy Rules Tuning • Fuzzy Sets • Genetic algorithms • Identification • Inverse Inference • Neural networks • Optimization • Rules Extraction |
ISBN-10 | 3-642-25785-2 / 3642257852 |
ISBN-13 | 978-3-642-25785-8 / 9783642257858 |
Zustand | Neuware |
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