Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5863
Title: Intuitionistic Fuzzy in Spline Curve/Surface
Authors: Mohammad Izat Emir Zulkifly
Abd Fatah Wahab
Keywords: intuitionistic fuzzy
intuitionistic fuzzy spline
control points
fuzzy complex
fuzzy geometry modeling
spline curve / surface
Issue Date: Feb-2015
Publisher: Wahab / Malaysian Journal of Fundamental and Applied
Abstract: The uncertainty data problem with intuitionistic information is difficult to deal with through the methodology or approach available. This is because the existing fuzzy geometric modeling can only solve the fuzzy data problem that is intuitionistic and fuzzy complex in nature as the data have information that is incomplete boundary value (less clear and ambiguous), have meaning and truth value of the range, a lot of value logic values as well as having vague distribution and indistinct. Furthermore, the operation is characteristically minimum or maximum and image together with the range are obscure and complex. To solve this problem, a new model with a redefinition of the control points which characterized by three important components of intuitionistic fuzzy is developed. These control points will be blended with the basic functions of spline to generate several models in the form of intuitionistic fuzzy spline curve / surface and can be easily understood. With the intuitionistic concept and its relations, then the relevant data can be translated through the production of these models.
URI: http://hdl.handle.net/123456789/5863
Appears in Collections:Journal Articles

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