Intelligent system of identification of local area network state

Autor: Voronin Ilya, Gazin Alexey, Zolotareva Tatyana, Selishchev Oleg, Skudnev Dmitry
Jazyk: English<br />French
Rok vydání: 2021
Předmět:
Zdroj: E3S Web of Conferences, Vol 258, p 01013 (2021)
Druh dokumentu: article
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202125801013
Popis: 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.
Databáze: Directory of Open Access Journals