{"title":"复杂经济系统绩效的整体评价与预测技术","authors":"V. Stepashko, R. Voloschuk, S. Yefimenko","doi":"10.1109/ACIT49673.2020.9208851","DOIUrl":null,"url":null,"abstract":"The main stages and components of a technology to solve problems of integrated (composite) evaluating and forecasting the performance of a complex economical system are described to support making efficient managerial decisions based on an aggregate and therefore observable information. We introduce the three novelties in the task of construction the synthetic integral index: some kind of fuzzy interpretation of values of a primary economic indicator; based on it a nonlinear method for normalizing indicators; approach to forecasting the index. An example of using the technology to analysis and forecast of the investment activity in Ukraine is presented.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Technique for Integral Evaluation and Forecast of the Performance of a Complex Economic System\",\"authors\":\"V. Stepashko, R. Voloschuk, S. Yefimenko\",\"doi\":\"10.1109/ACIT49673.2020.9208851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main stages and components of a technology to solve problems of integrated (composite) evaluating and forecasting the performance of a complex economical system are described to support making efficient managerial decisions based on an aggregate and therefore observable information. We introduce the three novelties in the task of construction the synthetic integral index: some kind of fuzzy interpretation of values of a primary economic indicator; based on it a nonlinear method for normalizing indicators; approach to forecasting the index. An example of using the technology to analysis and forecast of the investment activity in Ukraine is presented.\",\"PeriodicalId\":372744,\"journal\":{\"name\":\"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACIT49673.2020.9208851\",\"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 10th International Conference on Advanced Computer Information Technologies (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT49673.2020.9208851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Technique for Integral Evaluation and Forecast of the Performance of a Complex Economic System
The main stages and components of a technology to solve problems of integrated (composite) evaluating and forecasting the performance of a complex economical system are described to support making efficient managerial decisions based on an aggregate and therefore observable information. We introduce the three novelties in the task of construction the synthetic integral index: some kind of fuzzy interpretation of values of a primary economic indicator; based on it a nonlinear method for normalizing indicators; approach to forecasting the index. An example of using the technology to analysis and forecast of the investment activity in Ukraine is presented.