Pobedinskiy V.V., Polyakova M.A., Kazantseva T.V., Kazantseva N.K., Iovlev G.A. An Intelligent System Based on Main Approaches of Fuzzy Logic for Searching for Regulatory Documents

DOI: 10.18503/1995-2732-2024-22-1-107-113

Abstract

Problem Statement (Relevance). The present time is characterized by a revolution in information technology and humanity is experiencing a period of the "information explosion", when the mass of information increases in an avalanche. There is a global problem of processing information, which has its own specific features in the field of standardization, in particular, the search for necessary regulatory documents, whose number can amount to hundreds or even millions of files in various databases. Keywords used for searching in well-known systems do not provide strictly accurate identification of the document and its full compliance with the requirements of the query, because from the point of view of fuzzy set theory they carry the property of uncertainty and in this case, it would be more correct to use the provisions of fuzzy logic as one of the concepts of intelligent systems for the development of a search system. Despite the widespread use of such systems in various fields, they have not been used in terms of search engines for regulatory documents, so the problem of the efficient document search remains fully unresolved, which indicates the relevance of additional research. Objectives. The research aims at creating an intelligent system based on fuzzy logic to search for regulatory documents. The following tasks are to be solved: 1) substantiation of a theoretical approach to solving the problem of the intelligent document search; 2) formulation of the problem in a meaningful way; 3) development of fuzzy functions for the membership of input and output variables; 4) development of a database of rules for fuzzy products; 5) implementation of a fuzzy system in the MATLAB environment; 6) development of a query compliance assessment subroutine in the Simulink environment. Methods Applied. Theory of algorithms and programs, fuzzy set theory, fuzzy logic theory, and the MATLAB system. Originality. This paper originally proposes an algorithm and a fuzzy logic system for searching for regulatory documents. Result. The paper describes a proposed fuzzy logic system implemented in the MATLAB software environment for searching for regulatory documents. Practical Relevance. The algorithm and its software implementation in Simulink are quite versatile and can be used to search for regulatory documents of any type.

Keywords

regulatory document, search system, fuzzy set theory, fuzzy product, fuzzy system, query

For citation

Pobedinskiy V.V., Polyakova M.A., Kazantseva T.V., Kazantseva N.K., Iovlev G.A. An Intelligent System Based on Main Approaches of Fuzzy Logic for Searching for Regulatory Documents. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2024, vol. 22, no. 1, pp. 107-113. https://doi.org/10.18503/1995-2732-2024-22-1-107-113

Vladimir V. Pobedinskiy – DrSc (Eng.), Professor, Ural State Agrarian University, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-6318-3447

Marina A. Polyakova – DrSc (Eng.), Professor, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Еmail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0002-1597-8867

Tatiana V. Kazantseva – Senior Lecturer, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia. Еmail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-7051-614X

Nadezhda K. Kazantseva – PhD (Eng.), Associate Professor, Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg, Russia. Еmail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-9430-9604

Grigory A. Iovlev – PhD (Economics), Ural State Agrarian University, Yekaterinburg, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0002-1837-3222

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