| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 10 | |
| Section | IT in Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202125801013 | |
| Published online | 20 May 2021 | |
Intelligent system of identification of local area network state
Lipetsk State Pedagogical P.Semenov-Tyan-Shansky University, 42, Lenin str., 398020, Lipetsk, Russia
* Corresponding author: zolotarevatatyana2016@yandex.ru
This article considers the problem of diagnosing local area network, as well as the task of structural determination is the creation and easy adjustment of the model object by building the knowledge base of available expert information. The algorithm of formalization of knowledge in designing intelligent systems is reviewed and proposed. The article considers the theory of fuzzy sets and fuzzy logic. The concept of the theory of fuzzy sets and fuzzy logic are formalized in the form of fuzzy and linguistic variables, and the vagueness of certain operations in the overall decision-making process is synthesized in the form of fuzzy algorithms. For the effective solution of tasks of type analysis and hypothetical sources of network problems in a local area network, a method of constructing membership functions based on analytical processing of the results of expert surveys is used.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.