INTUITIONISTIC FUZZY PIECEWISE BÉZIER CURVE MODELING WITH C1 AND G1 CONTINUITIES FOR COMPLEX DATA

Autor: Ahmad Fadillah Embong, Abd. Fatah Wahab, Mohd. Syafiq Bidin, Mohammad Izat Emir Zulkifly, Yeak Su Hoe
Rok vydání: 2020
Předmět:
Zdroj: Advances in Differential Equations and Control Processes. 23:251-260
ISSN: 0974-3243
DOI: 10.17654/de023020251
Popis: It is difficult to visualize some curves due to the data complexity. Complex data that have intuitionistic and big data features are hard to be processed and shown entirely in one curve. Therefore, in this paper, intuitionistic fuzzy Bezier curve with piecewise function is introduced. Firstly, the complex data is defined as intuitionistic fuzzy control point. Later, the control point in cubic case is blended with the Bernstein polynomial to produce a single piece of curve. The same process is repeated for other control points. The pieces of the curve are then combined until C1 and G1 continuities. Finally, the resulting curve is visualized, and its algorithm is shown at the end of this paper.
Databáze: OpenAIRE