{"title":"信息风险评价与应用:基于集对分析","authors":"Jinlou Zhao, Hongyu Gao, Junhui Cheng","doi":"10.1109/CSO.2014.65","DOIUrl":null,"url":null,"abstract":"The control of the information risk is an important task in the business administration, the information risk seriously affect the efficiency of the supply chain. This paper puts forward a model based on set pair analysis about information risk evaluation. This model can not only divide the extent of the information risk, but describe the trend of the information risk. It could describe the information risk from static and dynamic.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Information Risk Evaluation and Application: Based on Set Pair Analysis\",\"authors\":\"Jinlou Zhao, Hongyu Gao, Junhui Cheng\",\"doi\":\"10.1109/CSO.2014.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The control of the information risk is an important task in the business administration, the information risk seriously affect the efficiency of the supply chain. This paper puts forward a model based on set pair analysis about information risk evaluation. This model can not only divide the extent of the information risk, but describe the trend of the information risk. It could describe the information risk from static and dynamic.\",\"PeriodicalId\":174800,\"journal\":{\"name\":\"2014 Seventh International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2014.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2014.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Risk Evaluation and Application: Based on Set Pair Analysis
The control of the information risk is an important task in the business administration, the information risk seriously affect the efficiency of the supply chain. This paper puts forward a model based on set pair analysis about information risk evaluation. This model can not only divide the extent of the information risk, but describe the trend of the information risk. It could describe the information risk from static and dynamic.