Fuzzy interpolation rational bicubic bezier surface

This paper introduces fuzzy interpolation rational bicubic Bezier surface (later known as FIRBBS) which can be used to model the fuzzy data forms after defining uncertainty data by using fuzzy set theory. The construction of FIRBBS is based on the definition of fuzzy number concept since we dealing...

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Main Authors: Rozaimi Zakaria, Abd Fatah Wahab, R.U. Gobithaasan, Isfarita Ismail
Format: Article
Language:English
Published: Universiti Malaysia Sabah 2016
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/19904/1/Fuzzy%20interpolation%20rational%20bicubic%20bezier%20surface.pdf
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author Rozaimi Zakaria
Abd Fatah Wahab
R.U. Gobithaasan
Isfarita Ismail
author_facet Rozaimi Zakaria
Abd Fatah Wahab
R.U. Gobithaasan
Isfarita Ismail
author_sort Rozaimi Zakaria
collection UMS
description This paper introduces fuzzy interpolation rational bicubic Bezier surface (later known as FIRBBS) which can be used to model the fuzzy data forms after defining uncertainty data by using fuzzy set theory. The construction of FIRBBS is based on the definition of fuzzy number concept since we dealing with the real uncertainty data form and interpolation rational bicubic Bezier surface model. Then, in order to obtain the crisp fuzzy solution, we applied the alpha-cut operation of triangular fuzzy number to reduce the fuzzy interval among those fuzzy data points(FDPs). After that, we applied defuzzification method to give us the final solution of getting single surface which also knows as crisp fuzzy solution surface. The practical example also is given which represented by figures for each processes. This practical example take the fuzzy data of lakebed modeling based on uncertainty at z-axis(depth).
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spelling ums.eprints-199042018-04-19T03:28:18Z https://eprints.ums.edu.my/id/eprint/19904/ Fuzzy interpolation rational bicubic bezier surface Rozaimi Zakaria Abd Fatah Wahab R.U. Gobithaasan Isfarita Ismail QA Mathematics This paper introduces fuzzy interpolation rational bicubic Bezier surface (later known as FIRBBS) which can be used to model the fuzzy data forms after defining uncertainty data by using fuzzy set theory. The construction of FIRBBS is based on the definition of fuzzy number concept since we dealing with the real uncertainty data form and interpolation rational bicubic Bezier surface model. Then, in order to obtain the crisp fuzzy solution, we applied the alpha-cut operation of triangular fuzzy number to reduce the fuzzy interval among those fuzzy data points(FDPs). After that, we applied defuzzification method to give us the final solution of getting single surface which also knows as crisp fuzzy solution surface. The practical example also is given which represented by figures for each processes. This practical example take the fuzzy data of lakebed modeling based on uncertainty at z-axis(depth). Universiti Malaysia Sabah 2016 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19904/1/Fuzzy%20interpolation%20rational%20bicubic%20bezier%20surface.pdf Rozaimi Zakaria and Abd Fatah Wahab and R.U. Gobithaasan and Isfarita Ismail (2016) Fuzzy interpolation rational bicubic bezier surface. Borneo Science, 37 (2). pp. 1-13. ISSN 1394-4339 http://borneoscience.ums.edu.my/wp-content/uploads/2016/09/FUZZY-INTERPOLATION-RATIONAL-BICUBIC-BEZIER-SURFACE.pdf
spellingShingle QA Mathematics
Rozaimi Zakaria
Abd Fatah Wahab
R.U. Gobithaasan
Isfarita Ismail
Fuzzy interpolation rational bicubic bezier surface
title Fuzzy interpolation rational bicubic bezier surface
title_full Fuzzy interpolation rational bicubic bezier surface
title_fullStr Fuzzy interpolation rational bicubic bezier surface
title_full_unstemmed Fuzzy interpolation rational bicubic bezier surface
title_short Fuzzy interpolation rational bicubic bezier surface
title_sort fuzzy interpolation rational bicubic bezier surface
topic QA Mathematics
url https://eprints.ums.edu.my/id/eprint/19904/1/Fuzzy%20interpolation%20rational%20bicubic%20bezier%20surface.pdf
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