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Higher Degree F-transforms Based on B-splines of Two Variables

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)

Abstract

The paper deals with the higher degree fuzzy transforms (F-transforms with polynomial components) for functions of two variables in the case when two-dimensional generalized fuzzy partition is given by B-splines of two variables. We investigate properties of the direct and inverse F-transform in this case and prove that using B-splines as basic functions of fuzzy partition allows us to improve the quality of approximation.

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Notes

  1. 1.

    In fact, this way a semi-norm \( \left\| \cdot \right\| _{i,j} \) in \( L_2(A_i \times B_j) \) is defined. The identification of functions f and g, which are almost everywhere equal in the sense \( \left\| f-g \right\| _{i,j} = 0 \), turns \( \left\| \cdot \right\| _{i,j} \) from a semi-norm into a norm and the semi-definite sesquilinear form \( \left\langle \cdot ,\cdot \right\rangle _{i,j} \) into an inner product. Further on, this technical detail will be ignored.

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Correspondence to Martins Kokainis .

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Kokainis, M., Asmuss, S. (2016). Higher Degree F-transforms Based on B-splines of Two Variables. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-40596-4_54

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  • DOI: https://doi.org/10.1007/978-3-319-40596-4_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40595-7

  • Online ISBN: 978-3-319-40596-4

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