{"title":"非结构化数据的社会经济决策支持模块","authors":"A. Dzhalolov, T. Buldakova, A. Proletarsky","doi":"10.1109/EIConRus49466.2020.9039086","DOIUrl":null,"url":null,"abstract":"The article is devoted to the problem of assessing the socio-economic status of the region and the approach to structuring the initial data. A similar problem arises in solving many problems of regional management. The features and complexity of solving the problem are highlighted. It is shown that the assessment of the socio-economic status of the region is a comprehensive indicator that takes into account many factors. To reduce the level of uncertainty, it is proposed to use a system approach, which allowed us to formalize the description of the decision-making process by grouping heterogeneous factors and assess the situation in the region by separate groups of indicators. A module for assessing the socio-economic status of the region at decision-making on allocation of the budgetary credit is considered. Examples of evaluating individual factors, an algorithm for solving the problem, and features of its implementation are given.","PeriodicalId":333365,"journal":{"name":"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Socio-Economic Decision Support Module by Unstructured Data\",\"authors\":\"A. Dzhalolov, T. Buldakova, A. Proletarsky\",\"doi\":\"10.1109/EIConRus49466.2020.9039086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is devoted to the problem of assessing the socio-economic status of the region and the approach to structuring the initial data. A similar problem arises in solving many problems of regional management. The features and complexity of solving the problem are highlighted. It is shown that the assessment of the socio-economic status of the region is a comprehensive indicator that takes into account many factors. To reduce the level of uncertainty, it is proposed to use a system approach, which allowed us to formalize the description of the decision-making process by grouping heterogeneous factors and assess the situation in the region by separate groups of indicators. A module for assessing the socio-economic status of the region at decision-making on allocation of the budgetary credit is considered. Examples of evaluating individual factors, an algorithm for solving the problem, and features of its implementation are given.\",\"PeriodicalId\":333365,\"journal\":{\"name\":\"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConRus49466.2020.9039086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConRus49466.2020.9039086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Socio-Economic Decision Support Module by Unstructured Data
The article is devoted to the problem of assessing the socio-economic status of the region and the approach to structuring the initial data. A similar problem arises in solving many problems of regional management. The features and complexity of solving the problem are highlighted. It is shown that the assessment of the socio-economic status of the region is a comprehensive indicator that takes into account many factors. To reduce the level of uncertainty, it is proposed to use a system approach, which allowed us to formalize the description of the decision-making process by grouping heterogeneous factors and assess the situation in the region by separate groups of indicators. A module for assessing the socio-economic status of the region at decision-making on allocation of the budgetary credit is considered. Examples of evaluating individual factors, an algorithm for solving the problem, and features of its implementation are given.