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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rotshtein, Alexander P. (Συγγραφέας), Rakytyanska, Hanna B. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Σειρά:Studies in Fuzziness and Soft Computing, 275
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03675nam a22004935i 4500
001 978-3-642-25786-5
003 DE-He213
005 20151031131020.0
007 cr nn 008mamaa
008 120125s2012 gw | s |||| 0|eng d
020 |a 9783642257865  |9 978-3-642-25786-5 
024 7 |a 10.1007/978-3-642-25786-5  |2 doi 
040 |d GrThAP 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
100 1 |a Rotshtein, Alexander P.  |e author. 
245 1 0 |a Fuzzy Evidence in Identification, Forecasting and Diagnosis  |h [electronic resource] /  |c by Alexander P. Rotshtein, Hanna B. Rakytyanska. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2012. 
300 |a XIV, 313 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 275 
505 0 |a 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. 
520 |a 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.     . 
650 0 |a Engineering. 
650 0 |a Computer simulation. 
650 0 |a Pattern recognition. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Simulation and Modeling. 
650 2 4 |a Pattern Recognition. 
700 1 |a Rakytyanska, Hanna B.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642257858 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 275 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-25786-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)