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Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group

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Proceedings of First International Conference on Mathematical Modeling and Computational Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1292))

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Abstract

Fractals are indefinitely complex patterns such as self-similar across at different scales; for example, Sierpinski triangle is a fractal. This paper analysed in the Sierpinski triangle. It is considered as equilateral triangles such as 1 unit, k unit and k + 1 unit. Each iteration is divided as [(0, 1/4, ½, …, 1)], [(0, k/4, k/2…, k)], [(0, (k + 1)/4, (k + 1)/2,… (k + 1))], so on. It analysed this triangle which satisfies fuzzy triangular numbers and the number of the theoretical aspect of fuzzy triangular numbers (FTNs) in self-similarity set of fractal set (Sierpinski triangle) and some arithmetic operations of α-ut and discussed that this triangle satisfied the centroid and median of the normal triangle. Multiplication of fuzzy triangular numbers α-cuts is explained graphically. It also analysed that these smaller equilateral triangles form a group, and this group satisfies the property of dihedral group.

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References

  1. Senthilkumar, L. S. (2017). Triangular approximation of fuzzy numbers—a new approach. International Journal of Pure and Applied Mathematics, 113(13), 115–121.

    Google Scholar 

  2. Clement Joe Anand, M. (2017). Theory of triangular fuzzy number. In Proceedings of National Conference on Advanced Trends in Mathematics. ISBN: 978-93-85126-14-7.

    Google Scholar 

  3. Nagoor Gani, A., & Mohamed Assarudeen, S. N. (2012). A new operation on triangular fuzzy number for solving fuzzy linear programming problem. Applied Mathematical Sciences, 6(11), 525–532.

    MathSciNet  MATH  Google Scholar 

  4. Mandelbrot, B. B., & Freeman, W. H. (1982). The Fractal Geometry of Nature. San Francisco.

    Google Scholar 

  5. Yu Z.-G. (2005). Visualization and fractal analysis of biological sequences. Bioinformatics Technologies, 313–351.

    Google Scholar 

  6. Jayalalitha, G., & Sudha, T. (2019). Analysis of diabetes based on fuzzy fractals. International Journal of Recent Technology and Engineering, 7(6S2), 653–658. ISSN: 2277-3878.

    Google Scholar 

  7. Nithya, R., Kamali, R., & Jayalalitha, G. (2017). Ramsey numbers in Sierpinski triangle. International Journal of Pure and Applied Mathematics, 116(4).

    Google Scholar 

  8. Al-Hasanat, B. N., & Almatroud, O. A. (2013). Dihedral groups of order 2m+1. International Journal of Applied Mathematics, 26(1), 1–7.

    Article  MathSciNet  Google Scholar 

  9. Oshman, Y., & Markley, F. L. (1999). Spacecraft Altitude/rate estimation using vector-aided GPS observations. IEEE Transactions on Aerospace and Electronic System, 35(3), 1019–1032.

    Article  Google Scholar 

  10. Voskoglou, M. G. (2015). An application of triangular fuzzy numbers to learning assessment. Journal of Physical Sciences, 20, 63–79.

    Google Scholar 

  11. Voskoglou, M. G. (2017). An application of triangular fuzzy numbers for assessing the results of iterative learning. International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 7, 59–72.

    Google Scholar 

  12. Voskoglou, M. G. (2017). An application of triangular fuzzy numbers to assessment of human skills. International Journal of Fuzzy System Applications, 6(3), 59–73.

    Article  Google Scholar 

  13. Voskoglou, M. G. (2018). An application of triangular fuzzy numbers to analogical reasoning. International Journal of Quantitative Research in Education, 4(3).

    Google Scholar 

  14. Voskoglou, M. G. (2015). An application of triangular fuzzy numbers to learning assessment. Journal of Physical Scences, 20, 63–79.

    Google Scholar 

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Correspondence to T. Sudha .

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Sudha, T., Jayalalitha, G. (2021). Analysis of Sierpinski Triangle Based on Fuzzy Triangular Numbers and Dihedral Group. In: Peng, SL., Hao, RX., Pal, S. (eds) Proceedings of First International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1292. Springer, Singapore. https://doi.org/10.1007/978-981-33-4389-4_4

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