Background/Objectives: The purpose of this paper is to introduce fuzzy data cubic Hermite interpolation and develop same approach to present fuzzy-valued piecewise cubic Hermite interpolation. Methods/Statistical Analysis: It's done on the basis of linear space nota in sand by patching together a unique class of cardinal basis functions which satisfy a vanishing property on separated subintervals. Findings: We have presented a numerical method in full detail along with an explicit formula that comprises a simple way in order to calculate the results. Furthermore, some properties of new interpolants are provided, with a couple of computational examples to illustrate the mentioned method. Application/Improvement: The presented procedure can be used rather than fuzzy simple Hermit and piecewise Hermite of order three interpolations, with exactly the same data, as an atternetive.
Keywords
Cardinal basis Functions, Fuzzy Data Interpolation, Piecewise Cubic Hermite Interpolation Ploynomia
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