{"title":"颗粒计算在数据融合系统中的应用模型研究","authors":"Juan Jiang, H. Ding, T. Peng","doi":"10.1109/GRC.2006.1635899","DOIUrl":null,"url":null,"abstract":"Data fusion is one of the most important topics in computer science nowadays. There are 3 levels in data fusion procedure: original level, attribute level, and decision level. Many different technologies have been used in different levels or even the same level. In this paper, it was mainly discussed that the application of GrC (granular computing) used in the attribute level of data fusion system, especially the preprocess of data which were collected from various data sources.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of the model about the application of granular computing in data fusion system\",\"authors\":\"Juan Jiang, H. Ding, T. Peng\",\"doi\":\"10.1109/GRC.2006.1635899\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data fusion is one of the most important topics in computer science nowadays. There are 3 levels in data fusion procedure: original level, attribute level, and decision level. Many different technologies have been used in different levels or even the same level. In this paper, it was mainly discussed that the application of GrC (granular computing) used in the attribute level of data fusion system, especially the preprocess of data which were collected from various data sources.\",\"PeriodicalId\":400997,\"journal\":{\"name\":\"2006 IEEE International Conference on Granular Computing\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Granular Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GRC.2006.1635899\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2006.1635899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of the model about the application of granular computing in data fusion system
Data fusion is one of the most important topics in computer science nowadays. There are 3 levels in data fusion procedure: original level, attribute level, and decision level. Many different technologies have been used in different levels or even the same level. In this paper, it was mainly discussed that the application of GrC (granular computing) used in the attribute level of data fusion system, especially the preprocess of data which were collected from various data sources.
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