The definition of complex uncertainties in bspline surface by using normal type-2 triangular fuzzy number

In this paper, Normal Type-2 Triangular Fuzzy Number (NT2TFN) is used for defining complex uncertainties data to construct an approximation of B-spline surface. The type-2 fuzzy set is used to define the complex uncertainties due to type-1 fuzzy has limited efficiency to define the complex uncertain...

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Bibliographic Details
Main Authors: Reedzal Shahreen Adesah, Rozaimi Zakaria
Format: Article
Language:English
English
Published: ASM Science Journal 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/27127/1/The%20definition%20of%20complex%20uncertainties%20in%20bspline%20surface%20by%20using%20normal%20type-2%20triangular%20fuzzy%20number%20.pdf
https://eprints.ums.edu.my/id/eprint/27127/2/The%20definition%20of%20complex%20uncertainties%20in%20bspline%20surface%20by%20using%20normal%20type-2%20triangular%20fuzzy%20number%201.pdf
https://eprints.ums.edu.my/id/eprint/27127/
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Summary:In this paper, Normal Type-2 Triangular Fuzzy Number (NT2TFN) is used for defining complex uncertainties data to construct an approximation of B-spline surface. The type-2 fuzzy set is used to define the complex uncertainties due to type-1 fuzzy has limited efficiency to define the complex uncertainties problem.NT2TFN is based on the concept of Normal Type-2 Fuzzy Set Theory (NT2FST) and the Type-2 Fuzzy Number (T2FN). NT2TFNis used to define the complex uncertainties data before the three technique were implemented. These techniques include the fuzzification process by using alpha-cut operation with two determined value of alpha which is 0.5 and 0.8, the type-reduction process and the defuzzification process. Therefore, the finalize model of Normal Type-2Fuzzy B-spline Surface (NT2FBsS) for two determined value of alpha can be achieved and a new implementation to construct a geometry model by using NT2TFN on defining complex uncertainty data to fuse with Bspline surface is accomplished