{"title":"基于模型的诊断中的不确定性计算","authors":"J. Sheppard, W. Simpson","doi":"10.1109/AUTEST.1991.197552","DOIUrl":null,"url":null,"abstract":"The authors briefly describe the computational methods used in uncertainty data gathering (modified fuzzy logic), evidence accumulation (modified Dempster-Shafer), and termination of the evidence-gathering process (backpropagation neural network) as they are implemented in the POINTER system. An example demonstrates the proposed approach.<<ETX>>","PeriodicalId":320001,"journal":{"name":"Conference Record AUTOTESTCON '91 IEEE Systems Readiness Technology Conference Improving Systems Effectiveness in the Changing Environment of the '90s","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Uncertainty computations in model-based diagnostics\",\"authors\":\"J. Sheppard, W. Simpson\",\"doi\":\"10.1109/AUTEST.1991.197552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors briefly describe the computational methods used in uncertainty data gathering (modified fuzzy logic), evidence accumulation (modified Dempster-Shafer), and termination of the evidence-gathering process (backpropagation neural network) as they are implemented in the POINTER system. An example demonstrates the proposed approach.<<ETX>>\",\"PeriodicalId\":320001,\"journal\":{\"name\":\"Conference Record AUTOTESTCON '91 IEEE Systems Readiness Technology Conference Improving Systems Effectiveness in the Changing Environment of the '90s\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record AUTOTESTCON '91 IEEE Systems Readiness Technology Conference Improving Systems Effectiveness in the Changing Environment of the '90s\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEST.1991.197552\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record AUTOTESTCON '91 IEEE Systems Readiness Technology Conference Improving Systems Effectiveness in the Changing Environment of the '90s","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.1991.197552","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uncertainty computations in model-based diagnostics
The authors briefly describe the computational methods used in uncertainty data gathering (modified fuzzy logic), evidence accumulation (modified Dempster-Shafer), and termination of the evidence-gathering process (backpropagation neural network) as they are implemented in the POINTER system. An example demonstrates the proposed approach.<>