Ordinary and Fractional Approximation by Non-additive Integrals: Choquet, Shilkret and Sugeno Integral Approximators
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| Summary: | XIV, 347 p. 1 illus. text |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Studies in Systems, Decision and Control,
190 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-04287-5 |
| Format: | Electronic Book |
Table of Contents:
- 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.