The Approximation of Interval Bezier Curves by a Fuzzy Rule-Based System
Yükleniyor...
Dosyalar
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Generally, we are interested in knots and control points as variables for finding a well Bezier model from many measuring data points. In this paper, we have selected good knots from given distributed data points on the basis of geometrical information such as curvature and bending of the curve. We have developed interval Bezier curves by estimating control points as an interval according to the knots which are selected by fuzzy rule basis. We have compared these curves and distributed data with the least squares error. We introduced, to the user the as interval Bezier curve, the one who has the minimum error toleration with variations in order to obtain most appropriate widths of Interval control points.
Açıklama
ETRI;KISTI;AICIT
2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 -- 24 November 2009 through 26 November 2009 -- Seoul -- 79215
2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 -- 24 November 2009 through 26 November 2009 -- Seoul -- 79215
Anahtar Kelimeler
Approximation, Fuzzy inference, Interval Bezier Curve, Interval control points
Kaynak
ACM International Conference Proceeding Series
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
403
Sayı
Künye
Ülker, E., Arslan, A., (2009). The Approximation of Interval Bezier Curves by a Fuzzy Rule-Based System. ACM International Conference Proceeding Series, (403), 1007-1012. Doi: 10.1145/1655925.1656108
