In this paper, we prove a Korovkin-type approximation theorem for fuzzy positive linear operators by using the notion of Astatistical convergence, where A is a non-negative regular summability matrix. This type of approximation enables us to obtain more powerful results than in the classical aspects
Fuzzy approximation by fuzzy convolution type operators
โ Scribed by G.A. Anastassiou
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 782 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
Here we introduce and study four sequences of naturally arising fuzzy integral operators of convolution type that are integral analogs of known fuzzy wavelet type operators, defined via a scaling function. Their fuzzy convergence with rates to the fuzzy unit operator is established through fuzzy inequalities involving the fuzzy modulus of continuity. Also, their high-order fuzzy approximation is given similarly by involving the fuzzy modulus of continuity of the N th order (N > 1) H-fuzzy derivative of the engaged fuzzy number valued function. The fuzzy global smoothness preservation property of these operators is demonstrated also.
๐ SIMILAR VOLUMES
High order differential functions of several variables are approximated by multivariate shift-invariant convolution type operators and their generalizations. The high order of this approximation is determined by giving some multivariate Jackson-type inequalities, engaging the first multivariate usua