Siti Nasyitah Jamana and Rozaimi Zakaria and Isfarita Ismail (2023) Fuzzy Intuitionistic Alphacut Interpolation Rational Bézier Curve Modeling for Shoreline Island Data. Malaysian Journal of Fundamental and Applied Sciences, 19. pp. 11421151. ISSN 22895981
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Abstract
The problem of uncertain data cannot be solved by conventional methods, which results in inaccurate data analysis and prediction. During the data collecting phase, ambiguous data are often collected, but they cannot be used immediately to generate geometric models. In this case, the new approaches to intuitionistic fuzzy sets will be used to determine the alpha cut value for uncertainty data sets. To solve the uncertainty data and build the mathematical model, this study applied fuzzy set theory, intuitionistic fuzzy sets, and rational Bézier curve geometric modelling. There are three main methods in this study. The triangular fuzzy number is used to define the uncertainty data in the first place. The alpha value can then be found using a centre of mass alphacut. The intuitionistic alphacut can then be applied to both membership and nonmembership data. This procedure, also called fuzzification, is defined as fuzzy intuitionistic into alphacut values. The data set will then undergo the defuzzification procedure to get single value data. For the purpose of analysis and conclusionmaking, the modeling data for each process will be visualised using an interpolation rational Bézier curve. The findings demonstrate that using the intuitionistic fuzzy set for the alphacut value was more effective than the previous method without considering both membership and nonmembership values.
Item Type:  Article 

Keyword:  Uncertainty data, Fuzzy set theory, Intuitionistic fuzzy set, Rational Bézier curve, Shoreline island data 
Subjects:  Q Science > Q Science (General) > Q1390 Science (General) Q Science > QH Natural history > QH1278.5 Natural history (General) > QH1(199.5) General Including nature conservation, geographical distribution 
Department:  FACULTY > Faculty of Science and Natural Resources 
Depositing User:  SITI AZIZAH BINTI IDRIS  
Date Deposited:  23 Apr 2024 14:50 
Last Modified:  23 Apr 2024 14:50 
URI:  https://eprints.ums.edu.my/id/eprint/38509 
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