Ordinary and Fractional Approximation by Non-additive Integrals: Choquet, Shilkret and Sugeno Integral Approximators
| Hlavní autor: | |
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| Korporativní autor: | |
| Shrnutí: | XIV, 347 p. 1 illus. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Vydání: | 1st ed. 2019. |
| Edice: | Studies in Systems, Decision and Control,
190 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-030-04287-5 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- Approximation with rates by Kantorovich-Choquet quasi-interpolation neural network operators
- Approximation with rates by Perturbed Kantorovich-Choquet Neural Network Operators
- Approximation with rates by Shift Invariant Univariate Sublinear-Choquet Operators
- Approximation with rates by Shift Invariant Multivariate Sublinear-Choquet Operators
- Hardy type inequalities for Choquet integrals
- Quantitative Approximation by Choquet integrals
- Conformable Fractional Approximation by Choquet integrals
- Multivariate and Convex Quantitative Approximation by Choquet integrals
- Caputo and Canavati fractional Quantitative Approximation by Choquet integrals
- Mixed Conformable and Iterated fractional Quantitative Approximation by Choquet integrals.