Fuzzy Cubic Spline Interpolation with Triangular Fuzzy Numbers | Zendy

A Karpagam | Zendy; V. Vijayalakshmi | Zendy

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Fuzzy 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 (ijrte)

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 , fuzzy logic , interpolation (computer graphics) , cubic function , fuzzy mathematics , membership function , fuzzy set , thin plate spline , mathematical analysis , polynomial interpolation , 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.

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