基于信息演化价值的电子商务信息融合证据理论

IEEE International Conference on e-Business Engineering (ICEBE'05) Pub Date : 2005-10-12 DOI:10.1109/ICEBE.2005.48

Z. Yu, Yezhuang Tian, Bao Xi

{"title":"基于信息演化价值的电子商务信息融合证据理论","authors":"Z. Yu, Yezhuang Tian, Bao Xi","doi":"10.1109/ICEBE.2005.48","DOIUrl":null,"url":null,"abstract":"Continuous improvement is the typical field of e-business information fusion in terms of multi-source data. This research proposes a hybrid Dampster-Shafer method with entropy and information value co-evolutionary for desegregation data. The result shows, the modified theory is a multi-criteria decision tool for information fusion in decreasing the information uncertainty effectively, which can advance the e-business performance of continuous improvement process and quality control","PeriodicalId":118472,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'05)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dempster-Shafer evidence theory of information fusion based on info-evolutionary value for e-business with continuous improvement\",\"authors\":\"Z. Yu, Yezhuang Tian, Bao Xi\",\"doi\":\"10.1109/ICEBE.2005.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Continuous improvement is the typical field of e-business information fusion in terms of multi-source data. This research proposes a hybrid Dampster-Shafer method with entropy and information value co-evolutionary for desegregation data. The result shows, the modified theory is a multi-criteria decision tool for information fusion in decreasing the information uncertainty effectively, which can advance the e-business performance of continuous improvement process and quality control\",\"PeriodicalId\":118472,\"journal\":{\"name\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEBE.2005.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2005.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

持续改进是多源数据下电子商务信息融合的典型领域。本文提出了一种熵和信息值协同进化的混合阻尼-谢弗方法。结果表明，改进后的理论是一种信息融合的多准则决策工具，能有效地降低信息不确定性，提高电子商务持续改进过程和质量控制的绩效

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Dempster-Shafer evidence theory of information fusion based on info-evolutionary value for e-business with continuous improvement

Continuous improvement is the typical field of e-business information fusion in terms of multi-source data. This research proposes a hybrid Dampster-Shafer method with entropy and information value co-evolutionary for desegregation data. The result shows, the modified theory is a multi-criteria decision tool for information fusion in decreasing the information uncertainty effectively, which can advance the e-business performance of continuous improvement process and quality control

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE International Conference on e-Business Engineering (ICEBE'05)

自引率

0.00%

发文量