Fuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers
1A.Karpagam, Assistant professor, SRM Valliammai Engineering College, Kattankulatur, India.
2V.Vijayalakshmi, Assistant professor, SRM Valliammai Engineering College, Kattankulatur, India.
Manuscript received on January 05, 2020. | Revised Manuscript received on January 25, 2020. | Manuscript published on January 30, 2020. | PP: 4164-4166 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6195018520/2020©BEIESP | DOI: 10.35940/ijrte.E6195.018520
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In applied mathematics, the salient and engrossing aspect is how to best approximate a function in a given space. In this paper a cubic spline polynomial approximation as best approximations of fuzzy function on a discrete set of points. In this work a novel approach is adopted to show this method using Triangular fuzzy numbers.
Keywords: Best Approximation, Cubic Spline ,Fuzzy Numbers, Fuzzy Polynomial, Fuzzy Interpolation, Triangular Fuzzy Numbers.
Scope of the Article: Fuzzy Logics.