{"title":"投资决策的多级模糊新技术研究","authors":"G. Sirbiladze, I. Khutsishvili, B. Ghvaberidze","doi":"10.1109/ICAICT.2012.6398510","DOIUrl":null,"url":null,"abstract":"This article proposes a novel Fuzzy Technology to support the Investment Decisions. While choosing among competitive investment projects, this technology provides the selection of projects with minimal crediting risks, makes ranking of chosen projects and then allows to optimally allocate investment amounts between several of them. The technology combines two fuzzy-statistical methods and solution of bicriteria discrete optimization problem, providing three stages of investment projects' evaluation.","PeriodicalId":221511,"journal":{"name":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the new multistage Fuzzy Technology to Investment Decisions\",\"authors\":\"G. Sirbiladze, I. Khutsishvili, B. Ghvaberidze\",\"doi\":\"10.1109/ICAICT.2012.6398510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article proposes a novel Fuzzy Technology to support the Investment Decisions. While choosing among competitive investment projects, this technology provides the selection of projects with minimal crediting risks, makes ranking of chosen projects and then allows to optimally allocate investment amounts between several of them. The technology combines two fuzzy-statistical methods and solution of bicriteria discrete optimization problem, providing three stages of investment projects' evaluation.\",\"PeriodicalId\":221511,\"journal\":{\"name\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 6th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2012.6398510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 6th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2012.6398510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the new multistage Fuzzy Technology to Investment Decisions
This article proposes a novel Fuzzy Technology to support the Investment Decisions. While choosing among competitive investment projects, this technology provides the selection of projects with minimal crediting risks, makes ranking of chosen projects and then allows to optimally allocate investment amounts between several of them. The technology combines two fuzzy-statistical methods and solution of bicriteria discrete optimization problem, providing three stages of investment projects' evaluation.