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020			_a9783030042875
024	7		_a10.1007/978-3-030-04287-5 _2doi
040			_aES-MaUEC _bspa _dES-MaUEC
050		4	_aQA221 _b2019 EB
100	1		_aAnastassiou, George A. _d1952- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _997076
245	1	0	_aOrdinary and Fractional Approximation by Non-additive Integrals : _bChoquet, Shilkret and Sugeno Integral Approximators _cby George A. Anastassiou.
264		1	_aCham _bSpringer International Publishing _bImprint: Springer _c2019.
300			_a1 recurso en línea (XIV, 347 páginas) _bilustraciones
347			_atext file _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v190
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aApproximation 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.
520	3		_aOrdinary and fractional approximations by non-additive integrals, especially by integral approximators of Choquet, Silkret and Sugeno types, are a new trend in approximation theory. These integrals are only subadditive and only the first two are positive linear, and they produce very fast and flexible approximations based on limited data. The author presents both the univariate and multivariate cases. The involved set functions are much weaker forms of the Lebesgue measure and they were conceived to fulfill the needs of economic theory and other applied sciences. The approaches presented here are original, and all chapters are self-contained and can be read independently. Moreover, the book's findings are sure to find application in many areas of pure and applied mathematics, especially in approximation theory, numerical analysis and mathematical economics (both ordinary and fractional). Accordingly, it offers a unique resource for researchers, graduate students, and for coursework in the above-mentioned fields, and belongs in all science and engineering libraries.
650		7	_aAproximación, Teoría de la _2embne _9160958
776	0	8	_iPrinted edition: _z9783030042868
776	0	8	_iPrinted edition: _z9783030042882
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-04287-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b11/2019 _cm _dz _ea _feng _ggw _h0