Fuzzy B-Spline Surface Modeling

This paper discusses the construction of a fuzzy B-spline surface model. The construction of this model is based on fuzzy set theory which is based on fuzzy number and fuzzy relation concepts. The proposed theories and concepts define the uncertainty data sets which represent fuzzy data/control poin...

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Main Authors: Rozaimi Zakaria, Abd. Fatah Wahab, R. U. Gobithaasan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/285045
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author Rozaimi Zakaria
Abd. Fatah Wahab
R. U. Gobithaasan
author_facet Rozaimi Zakaria
Abd. Fatah Wahab
R. U. Gobithaasan
author_sort Rozaimi Zakaria
collection DOAJ
description This paper discusses the construction of a fuzzy B-spline surface model. The construction of this model is based on fuzzy set theory which is based on fuzzy number and fuzzy relation concepts. The proposed theories and concepts define the uncertainty data sets which represent fuzzy data/control points allowing the uncertainties data points modeling which can be visualized and analyzed. The fuzzification and defuzzification processes were also defined in detail in order to obtain the fuzzy B-spline surface crisp model. Final section shows an application of fuzzy B-spline surface modeling for terrain modeling which shows its usability in handling uncertain data.
format Article
id doaj-art-3134df2635d34a56b5300230025cc72e
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-3134df2635d34a56b5300230025cc72e2025-02-03T06:44:30ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/285045285045Fuzzy B-Spline Surface ModelingRozaimi Zakaria0Abd. Fatah Wahab1R. U. Gobithaasan2School of Informatics & Applied Mathematics, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Terengganu, MalaysiaSchool of Informatics & Applied Mathematics, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Terengganu, MalaysiaSchool of Informatics & Applied Mathematics, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Terengganu, MalaysiaThis paper discusses the construction of a fuzzy B-spline surface model. The construction of this model is based on fuzzy set theory which is based on fuzzy number and fuzzy relation concepts. The proposed theories and concepts define the uncertainty data sets which represent fuzzy data/control points allowing the uncertainties data points modeling which can be visualized and analyzed. The fuzzification and defuzzification processes were also defined in detail in order to obtain the fuzzy B-spline surface crisp model. Final section shows an application of fuzzy B-spline surface modeling for terrain modeling which shows its usability in handling uncertain data.http://dx.doi.org/10.1155/2014/285045
spellingShingle Rozaimi Zakaria
Abd. Fatah Wahab
R. U. Gobithaasan
Fuzzy B-Spline Surface Modeling
Journal of Applied Mathematics
title Fuzzy B-Spline Surface Modeling
title_full Fuzzy B-Spline Surface Modeling
title_fullStr Fuzzy B-Spline Surface Modeling
title_full_unstemmed Fuzzy B-Spline Surface Modeling
title_short Fuzzy B-Spline Surface Modeling
title_sort fuzzy b spline surface modeling
url http://dx.doi.org/10.1155/2014/285045
work_keys_str_mv AT rozaimizakaria fuzzybsplinesurfacemodeling
AT abdfatahwahab fuzzybsplinesurfacemodeling
AT rugobithaasan fuzzybsplinesurfacemodeling