拓扑事件空间的信息融合

2015 18th International Conference on Information Fusion (Fusion) Pub Date : 2015-07-06 DOI:10.5281/ZENODO.23214

R. Ilin, Jun Zhang

{"title":"拓扑事件空间的信息融合","authors":"R. Ilin, Jun Zhang","doi":"10.5281/ZENODO.23214","DOIUrl":null,"url":null,"abstract":"We develop a novel information fusion scheme based on topological event space, viewed as a distributive lattice. We discuss the advantages of topological modeling and compare our approach to the existing Bayesian, Dempster-Shafer, and Dezert-Smarandache approaches. The proposed scheme is described in detail and illustrated with an example of fusion of three sensors in the presence of missing information.","PeriodicalId":297288,"journal":{"name":"2015 18th International Conference on Information Fusion (Fusion)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information fusion with topological event spaces\",\"authors\":\"R. Ilin, Jun Zhang\",\"doi\":\"10.5281/ZENODO.23214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a novel information fusion scheme based on topological event space, viewed as a distributive lattice. We discuss the advantages of topological modeling and compare our approach to the existing Bayesian, Dempster-Shafer, and Dezert-Smarandache approaches. The proposed scheme is described in detail and illustrated with an example of fusion of three sensors in the presence of missing information.\",\"PeriodicalId\":297288,\"journal\":{\"name\":\"2015 18th International Conference on Information Fusion (Fusion)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 18th International Conference on Information Fusion (Fusion)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.23214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 18th International Conference on Information Fusion (Fusion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.23214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

我们提出了一种新的基于拓扑事件空间的信息融合方案，将其视为一个分布格。我们讨论了拓扑建模的优点，并将我们的方法与现有的贝叶斯方法、Dempster-Shafer方法和Dezert-Smarandache方法进行了比较。本文对该方法进行了详细的描述，并以存在缺失信息的三传感器融合为例进行了说明。

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

Information fusion with topological event spaces

We develop a novel information fusion scheme based on topological event space, viewed as a distributive lattice. We discuss the advantages of topological modeling and compare our approach to the existing Bayesian, Dempster-Shafer, and Dezert-Smarandache approaches. The proposed scheme is described in detail and illustrated with an example of fusion of three sensors in the presence of missing information.

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

2015 18th International Conference on Information Fusion (Fusion)

自引率

0.00%

发文量