Yun-lan Wang, Zeng-zhi Li, Jun Xue, Shi-Min Ban, Yinliang Zhao
{"title":"Comprehensive information fusion methodology for telecommunication network management","authors":"Yun-lan Wang, Zeng-zhi Li, Jun Xue, Shi-Min Ban, Yinliang Zhao","doi":"10.1109/ICMLC.2002.1176697","DOIUrl":null,"url":null,"abstract":"Focuses on Dempster-Schafer (D-S) evidence theory and fuzzy logic based information fusion methodology for telecommunication network management The production rules, fuzzy relations and fuzzy rules for fault diagnosis are multi-source. The multi-source information should be fused to achieve more comprehensive information.. The fusion algorithms for production rules are presented, including the factor coordinator algorithm, sequential iteration algorithm and evidence theory based algorithm. The same is done for fuzzy relations and fuzzy rules. Furthermore, in order to get more reliable diagnosis results, the D-S evidence theory is adopted to fuse the fault diagnosis results from the experts, expert system and fuzzy reasoning system.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"138 1","pages":"8-12 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1176697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Focuses on Dempster-Schafer (D-S) evidence theory and fuzzy logic based information fusion methodology for telecommunication network management The production rules, fuzzy relations and fuzzy rules for fault diagnosis are multi-source. The multi-source information should be fused to achieve more comprehensive information.. The fusion algorithms for production rules are presented, including the factor coordinator algorithm, sequential iteration algorithm and evidence theory based algorithm. The same is done for fuzzy relations and fuzzy rules. Furthermore, in order to get more reliable diagnosis results, the D-S evidence theory is adopted to fuse the fault diagnosis results from the experts, expert system and fuzzy reasoning system.