Modeling Uncertainty with Fuzzy Logic With Recent Theory and Applications /

The objective of this book is to present an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". Since most researchers on fuzzy systems are more familiar with the standard fuzzy rule bases and their inference system structures, many standard tools of...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Celikyilmaz, Asli (Συγγραφέας), Türksen, I. Burhan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Fuzziness and Soft Computing, 240
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Celikyilmaz, Asli.  |e author. 
245 1 0 |a Modeling Uncertainty with Fuzzy Logic  |h [electronic resource] :  |b With Recent Theory and Applications /  |c by Asli Celikyilmaz, I. Burhan Türksen. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2009. 
300 |a XLVIII, 400 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 240 
505 0 |a Fuzzy Sets and Systems -- Improved Fuzzy Clustering -- Fuzzy Functions Approach -- Modeling Uncertainty with Improved Fuzzy Functions -- Experiments -- Conclusions and Future Work. 
520 |a The objective of this book is to present an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". Since most researchers on fuzzy systems are more familiar with the standard fuzzy rule bases and their inference system structures, many standard tools of fuzzy system modeling approaches are reviewed to demonstrate the novelty of the structurally different fuzzy functions, before we introduced the new methodologies. To make the discussions more accessible, no special fuzzy logic and system modeling knowledge is assumed. Therefore, the book itself may be a reference for some related methodologies to most researchers on fuzzy systems analyses. For those readers, who have knowledge of essential fuzzy theories, Chapter 1, 2 should be treated as a review material. Advanced readers ought to be able to read chapters 3, 4 and 5 directly, where proposed methods are presented. Chapter 6 demonstrates experiments conducted on various datasets. 
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650 0 |a Artificial intelligence. 
650 0 |a Computer-aided engineering. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
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650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Türksen, I. Burhan.  |e author. 
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776 0 8 |i Printed edition:  |z 9783540899235 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 240 
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950 |a Engineering (Springer-11647)