Intuitionistic Fuzzy in Spline Curve/Surface
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Date
2015-02
Journal Title
Journal ISSN
Volume Title
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.
Description
Keywords
intuitionistic fuzzy, intuitionistic fuzzy spline, control points, fuzzy complex, fuzzy geometry modeling, spline curve / surface