DOI 10.17586/0021-3454-2024-67-3-251-256
UDC 519.4
PROSPECTS FOR SOLVING PROBLEMS OF ORGANIZATIONAL MANAGEMENT IN THE INSTRUMENTAL SELECTION AND RANKING SYSTEM „SVIR“
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Laboratory of Information Technologies in System Analysis and Modeling; Professor
V. V. Zakharov
St. Petersburg Institute for Informatics and Automation of the RAS, laboratory for Information Technologies in Systems Analysis and Modeling ;
Reference for citation: Mikoni S. V., Zakharov V. V. Prospects for solving problems of organizational management in the instrumental selection and ranking system „SVIR“. Journal of Instrument Engineering. 2024. Vol. 67, N 3. P. 251—256 (in Russian). DOI: 10.17586/0021-3454-2024-67-3-251-256.
Abstract. Based on the descriptive open set model, varieties of classification problems are formulated and implemented in the new version of the software system for selection and ranking „SVIR-M“. In this system, the list of object classification problems is expanded, where the problems, according to the principle of solution, are divided into two groups: according to the given conditions of belonging to classes and according to deviations from the class accepted as the norm. The first group consists of problems of choosing a class based on a logical expression and membership functions, and the second group consists of problems of choosing an action to deviate from the norm or comparing objects according to the degree of deviation from the norm. The selection of a class by membership function is carried out on the basis of both ordered classes on indicator scales (fuzzy choice) and unordered classes (entity recognition by many indicators). The lack of connection with the subject language and the generality of mathematical models makes it possible to solve the stated problems in various subject areas. Ease of operation in the „SVIR“ system is ensured by a context-sensitive interface for formulating tasks and automation of the creation of a domain model and evaluation functions of indicators based on source data specified in the Excel package.
Abstract. Based on the descriptive open set model, varieties of classification problems are formulated and implemented in the new version of the software system for selection and ranking „SVIR-M“. In this system, the list of object classification problems is expanded, where the problems, according to the principle of solution, are divided into two groups: according to the given conditions of belonging to classes and according to deviations from the class accepted as the norm. The first group consists of problems of choosing a class based on a logical expression and membership functions, and the second group consists of problems of choosing an action to deviate from the norm or comparing objects according to the degree of deviation from the norm. The selection of a class by membership function is carried out on the basis of both ordered classes on indicator scales (fuzzy choice) and unordered classes (entity recognition by many indicators). The lack of connection with the subject language and the generality of mathematical models makes it possible to solve the stated problems in various subject areas. Ease of operation in the „SVIR“ system is ensured by a context-sensitive interface for formulating tasks and automation of the creation of a domain model and evaluation functions of indicators based on source data specified in the Excel package.
Keywords: classification, class, ordering, choice, norm, evaluation function, instrumental system, selection automation
Acknowledgement: the research was carried out within the framework of the budget theme FFZF–2022–0004.
References:
Acknowledgement: the research was carried out within the framework of the budget theme FFZF–2022–0004.
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