Assessment of the Integrated Safety of the University Management System Based on Soft Models

Abstract

The real conditions in which the university operates are saturated with many non-factors present, an unfavorable combination of which can pose a threat to both the mental and physical health of all participants in the educational process and create risks to their lives. The paper considers general approaches to identifying the information components of these risks and, due to fuzzy aggregation of the relevant indicators, make timely decisions on adjusting the management of universities. A generalized method of forming an assessment of the state of the university from the point of view of safety is presented. To clarify the used risk assessment groups, their classification is given, as well as expert assessments of indicators. In the case when the normative values are fuzzy vectors of requirements, a special approach must be applied. The article proposes to take into account numerous parameters and optimize the implementation of the system according to the vectors of requirements. First of all, criteria are introduced, significance is assessed, standards and restrictions are determined. Secondly, the level of deviations of the alternative variant from the standard is found. As a result of the execution, there is a ranking according to mismatches, priorities are set, which are taken for a decision. The suggested execution tool is Python (libraries: TKinter, matplotlib, openpyxl). It allows you to build an interface, graphs, tables and interpret the analysis results. The developed algorithm makes it possible to obtain a harmonious set of final solutions and to simplify the expert assessment process, as well as to ensure the choice of integrated security systems.

Keywords

• decision making
• not factors
• uncertainty
• system analysis
• modeling
• research
• set
• alternative
• fuzziness