Abstract
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.
Highlights
When designing an intelligent system, the problem of acquiring and presenting expert knowledge always arises
The concepts of theory of fuzzy sets (TFS) and fuzzy logic (FL) are formalized in the form of fuzzy and linguistic variables, and the fuzziness of individual operations in the general decision-making process is synthesized in the form of fuzzy algorithms
Let’s distribute them according to the following principle: N q1 q2 qm, where k j - is the number of experimental data that were obtained by the expert assessment method, corresponding to the output solution b j B, j 1,m; m - the number of output solutions, and in the general case: q1 z q2 z z qm
Summary
When designing an intelligent system, the problem of acquiring and presenting expert knowledge always arises. This specific design feature is associated with the complexity of the process of selecting analytically important facts and rules, the subsequent structuring and construction of a knowledge base from them. Nowadays, to formalize this knowledge, the apparatus of the theory of fuzzy sets (TFS) and fuzzy logic (FL) is being successfully used. An algorithm for constructing an analytical model of a fuzzy intelligent system for identifying the states of a local area network (LAN) is shown in Figure 1 [1]
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