{"title":"介绍了将系统参数综合为单个参数的原理及其在模糊模式识别中的应用","authors":"Qiangguo Pu","doi":"10.1109/SFICON.2002.1159833","DOIUrl":null,"url":null,"abstract":"Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.","PeriodicalId":294424,"journal":{"name":"2nd ISA/IEEE Sensors for Industry Conference,","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The principle for synthesizing system parameters into a single parameter and its application to fuzzy pattern recognition\",\"authors\":\"Qiangguo Pu\",\"doi\":\"10.1109/SFICON.2002.1159833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.\",\"PeriodicalId\":294424,\"journal\":{\"name\":\"2nd ISA/IEEE Sensors for Industry Conference,\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2nd ISA/IEEE Sensors for Industry Conference,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SFICON.2002.1159833\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd ISA/IEEE Sensors for Industry Conference,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SFICON.2002.1159833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The principle for synthesizing system parameters into a single parameter and its application to fuzzy pattern recognition
Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.
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