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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v35.i1.50
12 pages

The Use of Fuzzy A Priori Information for Estimation of Regression Parameters

Arnold S. Korkhin
National Mining University, Dnepropetrovsk
Victor N. Mizernyi
Vinnitsa National Technical University, Ukraine

SINOPSIS

A method of a priori information consideration, based on description of definition domain of regression parameters by equality constraints and by inequality constraints, where either right-hand or left-hand parts of constraints are prescribed fuzzy, is suggested. Statistical properties of estimates are studied. The described technique is applied for derivation of models of non-stationary stochastic systems, which can be reduced to a model of regression with switchings.