{"title":"软决策在控制系统要素测试诊断结果解码与评估中的应用","authors":"V. Freyman, I. Bezukladnikov","doi":"10.1109/SCM.2017.7970515","DOIUrl":null,"url":null,"abstract":"The problem of decision making accuracy increasing of control systems elements technical state is solved in this paper. The approach to quantitative assessment of diagnostic test realization result is offered. The areas of accurate decision making and uncertainty are defined. For removal of uncertainty the logical conditions analysis method is developed. This method is based on offered quantitative assessment and Boolean algebra.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The application of soft decision making on decoding and assessment of test diagnosing results within control systems elements\",\"authors\":\"V. Freyman, I. Bezukladnikov\",\"doi\":\"10.1109/SCM.2017.7970515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of decision making accuracy increasing of control systems elements technical state is solved in this paper. The approach to quantitative assessment of diagnostic test realization result is offered. The areas of accurate decision making and uncertainty are defined. For removal of uncertainty the logical conditions analysis method is developed. This method is based on offered quantitative assessment and Boolean algebra.\",\"PeriodicalId\":315574,\"journal\":{\"name\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2017.7970515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2017.7970515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of soft decision making on decoding and assessment of test diagnosing results within control systems elements
The problem of decision making accuracy increasing of control systems elements technical state is solved in this paper. The approach to quantitative assessment of diagnostic test realization result is offered. The areas of accurate decision making and uncertainty are defined. For removal of uncertainty the logical conditions analysis method is developed. This method is based on offered quantitative assessment and Boolean algebra.
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