Occurrent system of assessment of quality of corporate information computing network.

Authors

M. Sapaev, Tashkent University of Information Technologies named after Muhammad al-Khorazmiy
Z.Z Nigmatov, doctoral students, Tashkent State Technical University
M.O Atajonov, doctoral students, Tashkent State Technical University
Х.А Bahrieva, Tashkent University of Information Technologies named after Muhammad al-Khorazmiy

Abstract

The article analyzes the corporate network quality assessment. In the work questions of an estimation of qualitative indicators of corporate information-computed networks on the basis of neural networks are given. The main indicators are: information delay and packet loss. To evaluate the quality of the network, the use of a fuzzy model is proposed. A modeling algorithm for assessing the quality of a corporate information network is developed. The reliability of the proposed approach was verified with the help of a simulation system implemented with MatLab

First Page

84

Last Page

88

References

1. A.Pegat, “Fuzzy modeling and control”, Мoscow: laboratory knowledge, 2009. 798 p.

2. N.G.Yarushkina, “Foundations of theory and hybrid systems”, Moscow: Finance and statistics, 2004, 320 p.

3. L.A.Zadeh, “Fuzzy sets Inform. Contr”, vol. 8, pp. 338-353, 1965.

Recommended Citation

Sapaev, M.; Nigmatov, Z.Z; Atajonov, M.O; and Bahrieva, Х.А (2018) "Occurrent system of assessment of quality of corporate information computing network.," Chemical Technology, Control and Management: Vol. 2018: Iss. 3, Article 20.
DOI: https://doi.org/10.34920/2018.4-5.84-88