Open AccessFuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers
Author(s) -
A Karpagam,
V. Vijayalakshmi
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6195.018520
Subject(s) - monotone cubic interpolation , spline interpolation , cubic hermite spline , mathematics , fuzzy number , interpolation (computer graphics) , fuzzy logic , fuzzy mathematics , cubic function , cubic form , membership function , hermite spline , thin plate spline , fuzzy set , polynomial interpolation , mathematical analysis , computer science , artificial intelligence , statistics , motion (physics) , bilinear interpolation
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.