{"title":"用广义相对熵测量证据的一致性","authors":"Yong Shaowei, Yu Wenxian, Guo Guirong","doi":"10.1109/NAECON.1995.522001","DOIUrl":null,"url":null,"abstract":"The overall objective of this paper is to derive an algorithmic framework for measuring the evidential consensus of Dempster-Shafer theory. More specifically, our goal is to develop information theoretic criteria to quantitatively measure the quality of consensus generated by pooling evidences from multi-knowledge sources.","PeriodicalId":171918,"journal":{"name":"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring evidential consistence by a generalized relative entropy\",\"authors\":\"Yong Shaowei, Yu Wenxian, Guo Guirong\",\"doi\":\"10.1109/NAECON.1995.522001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The overall objective of this paper is to derive an algorithmic framework for measuring the evidential consensus of Dempster-Shafer theory. More specifically, our goal is to develop information theoretic criteria to quantitatively measure the quality of consensus generated by pooling evidences from multi-knowledge sources.\",\"PeriodicalId\":171918,\"journal\":{\"name\":\"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.1995.522001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1995.522001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring evidential consistence by a generalized relative entropy
The overall objective of this paper is to derive an algorithmic framework for measuring the evidential consensus of Dempster-Shafer theory. More specifically, our goal is to develop information theoretic criteria to quantitatively measure the quality of consensus generated by pooling evidences from multi-knowledge sources.