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FUZZY RANDOM KOROVKIN THEOREMS AND INEQUALITIES

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Fuzzy Mathematics: Approximation Theory

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 251))

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Abstract

Here we study the fuzzy random positive linear operators acting on fuzzy random continuous functions. We establish a series of fuzzy random Shisha–Mond type inequalities of Lq-type 1 ≤ q < ∞ and related fuzzy random Korovkin type theorems, regarding the fuzzy random q-mean convergence of fuzzy random positive linear operators to the fuzzy random unit operator for various cases. All convergences are with rates and are given using the above fuzzy random inequalities involving the fuzzy random modulus of continuity of the engaged fuzzy random function. The assumptions for the Korovkin theorems are minimal and of natural realization, fulfilled by almost all example fuzzy random positive linear operators. The astonishing fact is that the real Korovkin test functions assumptions are enough for the conclusions of the fuzzy random Korovkin theory. We give at the end applications. This chapter follows [22].

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© 2010 Springer-Verlag Berlin Heidelberg

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Anastassiou, G.A. (2010). FUZZY RANDOM KOROVKIN THEOREMS AND INEQUALITIES. In: Fuzzy Mathematics: Approximation Theory. Studies in Fuzziness and Soft Computing, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11220-1_17

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  • DOI: https://doi.org/10.1007/978-3-642-11220-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11219-5

  • Online ISBN: 978-3-642-11220-1

  • eBook Packages: EngineeringEngineering (R0)

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