Y. Shevtsova, V. Kanev, A. Poletaikin, N. Kuleshova
{"title":"Optimizing Risk-Free Model of Development of Educational Organization Based on Modified Risk Thermometer","authors":"Y. Shevtsova, V. Kanev, A. Poletaikin, N. Kuleshova","doi":"10.1109/OPCS.2019.8880152","DOIUrl":null,"url":null,"abstract":"We propose new original mathematical approach to the problem of a risk management concerning ensuring quality of educational activity of higher education institution. As a basic method of risk management the risk thermometer identifying a risk background of educational process is used. Estimation of risks is carried out by means of fuzzy composition of the obtained temperature data with the fuzzy relation of compliance of risks to their key indicators. The method of fuzzy clustering is applied to construction of risk temperature’s function with optimum parameters. As examination results the complex of actions for developing educational organization formed, which ranging is carried out also on the basis of temperature data.","PeriodicalId":288547,"journal":{"name":"2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPCS.2019.8880152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose new original mathematical approach to the problem of a risk management concerning ensuring quality of educational activity of higher education institution. As a basic method of risk management the risk thermometer identifying a risk background of educational process is used. Estimation of risks is carried out by means of fuzzy composition of the obtained temperature data with the fuzzy relation of compliance of risks to their key indicators. The method of fuzzy clustering is applied to construction of risk temperature’s function with optimum parameters. As examination results the complex of actions for developing educational organization formed, which ranging is carried out also on the basis of temperature data.
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