{"title":"集成电路设计中不确定统计信息传播的符号模糊数方法","authors":"M. Styblinski, P. Gajer, J. Lei","doi":"10.1109/ISCAS.1997.621453","DOIUrl":null,"url":null,"abstract":"A method of handling uncertain statistical information and its (approximate) propagation through an IC is proposed, utilizing the concepts of fuzzy numbers and fuzzy arithmetic, combined with the propagation of moments method of statistical analysis, leading to a new method of propagation of fuzzy variance. A symbolic implementation of this method is proposed, allowing one to efficiently represent the relevant membership functions.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"109 1","pages":"1664-1667 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A symbolic fuzzy number approach to the propagation of uncertain statistical information in IC design\",\"authors\":\"M. Styblinski, P. Gajer, J. Lei\",\"doi\":\"10.1109/ISCAS.1997.621453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method of handling uncertain statistical information and its (approximate) propagation through an IC is proposed, utilizing the concepts of fuzzy numbers and fuzzy arithmetic, combined with the propagation of moments method of statistical analysis, leading to a new method of propagation of fuzzy variance. A symbolic implementation of this method is proposed, allowing one to efficiently represent the relevant membership functions.\",\"PeriodicalId\":68559,\"journal\":{\"name\":\"电路与系统学报\",\"volume\":\"109 1\",\"pages\":\"1664-1667 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电路与系统学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.1997.621453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.621453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A symbolic fuzzy number approach to the propagation of uncertain statistical information in IC design
A method of handling uncertain statistical information and its (approximate) propagation through an IC is proposed, utilizing the concepts of fuzzy numbers and fuzzy arithmetic, combined with the propagation of moments method of statistical analysis, leading to a new method of propagation of fuzzy variance. A symbolic implementation of this method is proposed, allowing one to efficiently represent the relevant membership functions.
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