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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v44.i7.40
pages 34-48

Linear Regression Analysis of a Small Sample of Fuzzy Input Data

Oksana V. Seraya
National Technical University "Kharkov Polytechnic Institute"
Dmitriy A. Demin
National Technical University "Kharkov Polytechnic Institute"

RESUMO

The problem of estimating the parameters of the regression equation for a small sample of the initial data, where the conditions of observation are fuzzy, is considered. The technology of artificial orthogonalization of the results of a passive experiment is proposed, based on the integrated use of fuzzy clustering and the developed method of solving the fuzzy systems of linear algebraic equations.


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