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Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty. / Shary, Sergey P.

в: Advances in data science and adaptive analysis, Том 12, № 1, 2050002, 01.2020.

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Shary SP. Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty. Advances in data science and adaptive analysis. 2020 янв.;12(1):2050002. doi: 10.1142/S2424922X20500023

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Shary, Sergey P. / Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty. в: Advances in data science and adaptive analysis. 2020 ; Том 12, № 1.

BibTeX

@article{26d3c90a470d440b91f15492236b7c71,
title = "Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty",
abstract = "For the data fitting problem under interval uncertainty, we introduce the concept of strong compatibility between data and parameters. It is shown that the new strengthened formulation of the problem reduces to computing and estimating the so-called tolerable solution set for interval systems of equations constructed from the data being processed. We propose a computational technology for constructing a {"}best-fit{"} linear function from interval data, taking into account the strong compatibility requirement. The properties of the new data fitting approach are much better than those of its predecessors: strong compatibility estimates have polynomial computational complexity, the variance of the strong compatibility estimates is almost always finite, and these estimates are rubust. An example considered in the concluding part of the paper illustrates some of these features.",
keywords = "Data fitting problem, interval uncertainty, compatibility of data and parameters, strong compatibility, interval system of equations, tolerable solution set, recognizing functional, nondifferentiable optimization",
author = "Shary, {Sergey P.}",
year = "2020",
month = jan,
doi = "10.1142/S2424922X20500023",
language = "English",
volume = "12",
journal = "Advances in data science and adaptive analysis",
issn = "2424-922X",
publisher = "WORLD SCIENTIFIC PUBL CO PTE LTD",
number = "1",

}

RIS

TY - JOUR

T1 - Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty

AU - Shary, Sergey P.

PY - 2020/1

Y1 - 2020/1

N2 - For the data fitting problem under interval uncertainty, we introduce the concept of strong compatibility between data and parameters. It is shown that the new strengthened formulation of the problem reduces to computing and estimating the so-called tolerable solution set for interval systems of equations constructed from the data being processed. We propose a computational technology for constructing a "best-fit" linear function from interval data, taking into account the strong compatibility requirement. The properties of the new data fitting approach are much better than those of its predecessors: strong compatibility estimates have polynomial computational complexity, the variance of the strong compatibility estimates is almost always finite, and these estimates are rubust. An example considered in the concluding part of the paper illustrates some of these features.

AB - For the data fitting problem under interval uncertainty, we introduce the concept of strong compatibility between data and parameters. It is shown that the new strengthened formulation of the problem reduces to computing and estimating the so-called tolerable solution set for interval systems of equations constructed from the data being processed. We propose a computational technology for constructing a "best-fit" linear function from interval data, taking into account the strong compatibility requirement. The properties of the new data fitting approach are much better than those of its predecessors: strong compatibility estimates have polynomial computational complexity, the variance of the strong compatibility estimates is almost always finite, and these estimates are rubust. An example considered in the concluding part of the paper illustrates some of these features.

KW - Data fitting problem

KW - interval uncertainty

KW - compatibility of data and parameters

KW - strong compatibility

KW - interval system of equations

KW - tolerable solution set

KW - recognizing functional

KW - nondifferentiable optimization

U2 - 10.1142/S2424922X20500023

DO - 10.1142/S2424922X20500023

M3 - Article

VL - 12

JO - Advances in data science and adaptive analysis

JF - Advances in data science and adaptive analysis

SN - 2424-922X

IS - 1

M1 - 2050002

ER -

ID: 26097662