Open AccessComplex index of a system’s quality for a set of observations
Author(s) -
Т. В. Жгун
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1352/1/012064
Subject(s) - principal component analysis , index (typography) , set (abstract data type) , component (thermodynamics) , quality (philosophy) , computer science , complex system , algorithm , content (measure theory) , data mining , signal (programming language) , principal (computer security) , noise (video) , artificial intelligence , mathematics , pattern recognition (psychology) , image (mathematics) , mathematical analysis , philosophy , physics , epistemology , world wide web , thermodynamics , programming language , operating system
This paper discusses the solution to the problem of constructing latent complex indexes of a change in a system’s quality for several observations in the absence of training. The algorithm for constructing complex indexes is implemented with the definition of non-random variables of the principal component characterizing the structure of the system under discussion. The algorithm uses a new approach to choose the principal component number, determine the weights of the considered variables and subsystems, and to determine the information content of the complex index based on the selected signal-to-noise ratio parameter. The algorithm was used to obtain complex indexes of quality of life for Russia’s constituent entities for 2007-2016.