{"title":"灰色理论与信息获取技术的初步探讨","authors":"Qin Zhao, Jun Gao, Tianfu Wu, Lu Lu","doi":"10.1109/ICIA.2004.1373399","DOIUrl":null,"url":null,"abstract":"The grey theory, one of the methods that are used to study uncertainty, is superior in theoretical analysis of systems with imprecise information and incomplete samples. In this paper we summarize the principles of the theory and its modeling schemes in prediction and diagnosis, and review its practical applications so as to give some heuristic guidelines for improving the information acquisition technology.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"The grey theory and the preliminary probe into information acquisition technology\",\"authors\":\"Qin Zhao, Jun Gao, Tianfu Wu, Lu Lu\",\"doi\":\"10.1109/ICIA.2004.1373399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The grey theory, one of the methods that are used to study uncertainty, is superior in theoretical analysis of systems with imprecise information and incomplete samples. In this paper we summarize the principles of the theory and its modeling schemes in prediction and diagnosis, and review its practical applications so as to give some heuristic guidelines for improving the information acquisition technology.\",\"PeriodicalId\":297178,\"journal\":{\"name\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2004.1373399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The grey theory and the preliminary probe into information acquisition technology
The grey theory, one of the methods that are used to study uncertainty, is superior in theoretical analysis of systems with imprecise information and incomplete samples. In this paper we summarize the principles of the theory and its modeling schemes in prediction and diagnosis, and review its practical applications so as to give some heuristic guidelines for improving the information acquisition technology.
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