{"title":"模糊系统概论","authors":"L. Jain, C. L. Karr","doi":"10.1109/ETD.1995.403485","DOIUrl":null,"url":null,"abstract":"Fuzzy logic was first developed by Zadeh in the mid 1960s for representing uncertain and imprecise knowledge. In the classical Boolean logic truth is represented by the 1 state and falsity is by the 0 state. Boolean algebra has no provision for approximate reasoning. Fuzzy logic is an extension of Boolean logic in the sense that it also provides a platform for handling uncertain and imprecise knowledge. Fuzzy logic uses fuzzy set theory, in which a variable is a member of one or more sets, with a specified degree of membership, usually denoted by the Greek letter /spl mu/. The paper provides an introduction to fuzzy systems.<<ETX>>","PeriodicalId":302763,"journal":{"name":"Proceedings Electronic Technology Directions to the Year 2000","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"116","resultStr":"{\"title\":\"Introduction to fuzzy systems\",\"authors\":\"L. Jain, C. L. Karr\",\"doi\":\"10.1109/ETD.1995.403485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy logic was first developed by Zadeh in the mid 1960s for representing uncertain and imprecise knowledge. In the classical Boolean logic truth is represented by the 1 state and falsity is by the 0 state. Boolean algebra has no provision for approximate reasoning. Fuzzy logic is an extension of Boolean logic in the sense that it also provides a platform for handling uncertain and imprecise knowledge. Fuzzy logic uses fuzzy set theory, in which a variable is a member of one or more sets, with a specified degree of membership, usually denoted by the Greek letter /spl mu/. The paper provides an introduction to fuzzy systems.<<ETX>>\",\"PeriodicalId\":302763,\"journal\":{\"name\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"116\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Electronic Technology Directions to the Year 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETD.1995.403485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Electronic Technology Directions to the Year 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETD.1995.403485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic was first developed by Zadeh in the mid 1960s for representing uncertain and imprecise knowledge. In the classical Boolean logic truth is represented by the 1 state and falsity is by the 0 state. Boolean algebra has no provision for approximate reasoning. Fuzzy logic is an extension of Boolean logic in the sense that it also provides a platform for handling uncertain and imprecise knowledge. Fuzzy logic uses fuzzy set theory, in which a variable is a member of one or more sets, with a specified degree of membership, usually denoted by the Greek letter /spl mu/. The paper provides an introduction to fuzzy systems.<>
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