B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach
In this paper, B-spline curve interpolation model by using intuitionistic fuzzy set approach is introduced. Firstly, intuitionistic fuzzy control point relation is defined based on the intuitionistic fuzzy concept. Later, the intuitionistic fuzzy control point relation is blended with B-spline basis...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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2020
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| Online Access: | https://eprints.ums.edu.my/id/eprint/26740/1/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach.pdf https://eprints.ums.edu.my/id/eprint/26740/2/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach1.pdf |
| _version_ | 1825714045741694976 |
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| author | Mohammad Izat Emir Zulkifly Abd. Fatah Wahab Rozaimi Zakaria |
| author_facet | Mohammad Izat Emir Zulkifly Abd. Fatah Wahab Rozaimi Zakaria |
| author_sort | Mohammad Izat Emir Zulkifly |
| collection | UMS |
| description | In this paper, B-spline curve interpolation model by using intuitionistic fuzzy set approach is introduced. Firstly, intuitionistic fuzzy control point relation is defined based on the intuitionistic fuzzy concept. Later, the intuitionistic fuzzy control point relation is blended with B-spline basis function. Through interpolation method, intuitionistic fuzzy B-spline curve model is visualized. Finally, some numerical examples and an algorithm to generate the desired curve is shown. |
| first_indexed | 2024-03-06T03:05:58Z |
| format | Article |
| id | ums.eprints-26740 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:05:58Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ums.eprints-267402021-04-14T01:07:49Z https://eprints.ums.edu.my/id/eprint/26740/ B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach Mohammad Izat Emir Zulkifly Abd. Fatah Wahab Rozaimi Zakaria Q Science (General) In this paper, B-spline curve interpolation model by using intuitionistic fuzzy set approach is introduced. Firstly, intuitionistic fuzzy control point relation is defined based on the intuitionistic fuzzy concept. Later, the intuitionistic fuzzy control point relation is blended with B-spline basis function. Through interpolation method, intuitionistic fuzzy B-spline curve model is visualized. Finally, some numerical examples and an algorithm to generate the desired curve is shown. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/26740/1/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach.pdf text en https://eprints.ums.edu.my/id/eprint/26740/2/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach1.pdf Mohammad Izat Emir Zulkifly and Abd. Fatah Wahab and Rozaimi Zakaria (2020) B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach. IAENG International Journal of Applied Mathematics, 50 (4). pp. 1-7. |
| spellingShingle | Q Science (General) Mohammad Izat Emir Zulkifly Abd. Fatah Wahab Rozaimi Zakaria B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title | B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title_full | B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title_fullStr | B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title_full_unstemmed | B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title_short | B-Spline Curve Interpolation Model by using Intuitionistic Fuzzy Approach |
| title_sort | b spline curve interpolation model by using intuitionistic fuzzy approach |
| topic | Q Science (General) |
| url | https://eprints.ums.edu.my/id/eprint/26740/1/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach.pdf https://eprints.ums.edu.my/id/eprint/26740/2/B-Spline%20Curve%20Interpolation%20Model%20by%20using%20Intuitionistic%20Fuzzy%20Approach1.pdf |
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