Application of Fuzzy Set Theory in the Distribution of Information Flows of a Network Information System

Authors

  • Alexander V. Rubtsov Department of Basic Disciplines Lesosibirsk Pedagogical Institute – branch of Siberian Federal University, Lesosibirsk, Russia
  • Violetta V. Levshina Department of Quality Management, Standardization, Documentation Management Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
  • Svetlana V. Mamaeva Department of Basic Disciplines Lesosibirsk Pedagogical Institute – branch of Siberian Federal University, Lesosibirsk, Russia
  • Ludmila N. Khramova Department of Higher Mathematics, Computer Science and Natural Science Lesosibirsk Pedagogical Institute – branch of Siberian Federal University, Lesosibirsk, Russia
  • Igor V. Khramov Department of Basic Disciplines Lesosibirsk Pedagogical Institute – branch of Siberian Federal University, Lesosibirsk, Russia

DOI:

https://doi.org/10.31341/jios.45.1.5

Keywords:

information systems, network information systems, information flows, fuzzy sets, mathematical modeling

Abstract

This study's subject represents the processes of functioning of information flows in a network information system through the use of fuzzy sets. It considers the possibilities of fuzzy sets in the information flows distribution problems of the Network Information System by the development of mathematical tools. In the theoretical part of the study, the main issue was the description of the fuzzy approach. In the empirical part of the study, the main concern was finding out the reasons for the fuzzy approach's advantages. The main results of the study: proof of the identity between the functioning of the analytical data; held the solution of the optimization problem based on the formulated analytical models; comparison of the usage of fuzzy logic with a different statistical method; demonstrated the advantage of fuzzy approach in modeling processes network information system. The results can be applied in the field of information systems and technologies.

Downloads

Published

2021-06-15

How to Cite

[1]
A. V. Rubtsov, V. V. Levshina, S. V. Mamaeva, L. N. Khramova, and I. V. Khramov, “Application of Fuzzy Set Theory in the Distribution of Information Flows of a Network Information System”, J. inf. organ. sci. (Online), vol. 45, no. 1, Jun. 2021.

Issue

Vol. 45 No. 1 (2021)

Section

Articles