
Factor model for the study of complex processes
Author(s) -
Б. Н. Четверушкин,
Vladimir Anatolievich Sudakov
Publication year - 2019
Publication title -
doklady akademii nauk. rossijskaâ akademiâ nauk
Language(s) - English
Resource type - Journals
ISSN - 0869-5652
DOI - 10.31857/s0869-5652489117-21
Subject(s) - pairwise comparison , factor (programming language) , eigenvalues and eigenvectors , computer science , degree (music) , complex system , factor analysis , artificial intelligence , machine learning , physics , quantum mechanics , acoustics , programming language
The paper proposes an original concept of building a factor model based on frames. A method has been developed for calculating the values of factors by searching for the eigenvalues of matrices of pairwise comparisons of the degree of influence of slots. Possible applications of the factor model in the study of complex processes and systems are discussed.