V. Tishkina, A. Pylkin, A. Kroshilin, S. Kroshilina, A. Evseev
{"title":"基于模糊逻辑和模糊集理论的企业管理移动助手","authors":"V. Tishkina, A. Pylkin, A. Kroshilin, S. Kroshilina, A. Evseev","doi":"10.1109/SUMMA48161.2019.8947514","DOIUrl":null,"url":null,"abstract":"The paper presents a study about the development an enterprise analysis mobile application. An extended set of financial ratios will be used in the developed application. The user of the mobile application will be provided with detailed recommendations about the situation in the enterprise. Currently, any company is characterized by a large amount of information. This information may be contained in various documents: in financial statements, regulatory documents, laws and others. Information about the company must be converted to the type required for effective analysis of the company. Mobile business intelligence is in demand in modern enterprise management. This statement is relevant for small and large enterprises. Enterprise model based on the semantic network makes conclusions about each enterprise. Objects of the semantic network are fuzzy objects. The types of connections between objects of the semantic network are considered as fuzzy object relations. In addition, the article describes the functionality of the mobile application. The work ends with short conclusions.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enterprise Management Mobile Assistant based on Using the Theory of Fuzzy Logic and Fuzzy Sets\",\"authors\":\"V. Tishkina, A. Pylkin, A. Kroshilin, S. Kroshilina, A. Evseev\",\"doi\":\"10.1109/SUMMA48161.2019.8947514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a study about the development an enterprise analysis mobile application. An extended set of financial ratios will be used in the developed application. The user of the mobile application will be provided with detailed recommendations about the situation in the enterprise. Currently, any company is characterized by a large amount of information. This information may be contained in various documents: in financial statements, regulatory documents, laws and others. Information about the company must be converted to the type required for effective analysis of the company. Mobile business intelligence is in demand in modern enterprise management. This statement is relevant for small and large enterprises. Enterprise model based on the semantic network makes conclusions about each enterprise. Objects of the semantic network are fuzzy objects. The types of connections between objects of the semantic network are considered as fuzzy object relations. In addition, the article describes the functionality of the mobile application. The work ends with short conclusions.\",\"PeriodicalId\":163496,\"journal\":{\"name\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUMMA48161.2019.8947514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enterprise Management Mobile Assistant based on Using the Theory of Fuzzy Logic and Fuzzy Sets
The paper presents a study about the development an enterprise analysis mobile application. An extended set of financial ratios will be used in the developed application. The user of the mobile application will be provided with detailed recommendations about the situation in the enterprise. Currently, any company is characterized by a large amount of information. This information may be contained in various documents: in financial statements, regulatory documents, laws and others. Information about the company must be converted to the type required for effective analysis of the company. Mobile business intelligence is in demand in modern enterprise management. This statement is relevant for small and large enterprises. Enterprise model based on the semantic network makes conclusions about each enterprise. Objects of the semantic network are fuzzy objects. The types of connections between objects of the semantic network are considered as fuzzy object relations. In addition, the article describes the functionality of the mobile application. The work ends with short conclusions.