{"title":"所谓的模糊控制的局限性","authors":"Phil Serchuk","doi":"10.1109/ISMVL.2005.47","DOIUrl":null,"url":null,"abstract":"Charles Elkan (1994) claimed that, despite the popularity of using fuzzy logic, it could only be used in controllers and would never be successfully used in expert systems. This claim forms the basis of Elkan's 'paradox' and relies on a distinction between fuzzy controllers and expert systems. Yet it is unclear whether this distinction even exists and if Elkan is justified in using it to support his claim. An examination of this distinction is undertaken where it is shown to be faulty and Elkan's 'paradox' is rejected. The correctness of using fuzzy logic to model different kinds of vagueness and uncertainty is then examined in an effort to determine the kinds of phenomena fuzzy logic can be successfully used to deal with.","PeriodicalId":340578,"journal":{"name":"35th International Symposium on Multiple-Valued Logic (ISMVL'05)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The alleged limitations of fuzzy control\",\"authors\":\"Phil Serchuk\",\"doi\":\"10.1109/ISMVL.2005.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Charles Elkan (1994) claimed that, despite the popularity of using fuzzy logic, it could only be used in controllers and would never be successfully used in expert systems. This claim forms the basis of Elkan's 'paradox' and relies on a distinction between fuzzy controllers and expert systems. Yet it is unclear whether this distinction even exists and if Elkan is justified in using it to support his claim. An examination of this distinction is undertaken where it is shown to be faulty and Elkan's 'paradox' is rejected. The correctness of using fuzzy logic to model different kinds of vagueness and uncertainty is then examined in an effort to determine the kinds of phenomena fuzzy logic can be successfully used to deal with.\",\"PeriodicalId\":340578,\"journal\":{\"name\":\"35th International Symposium on Multiple-Valued Logic (ISMVL'05)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"35th International Symposium on Multiple-Valued Logic (ISMVL'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMVL.2005.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"35th International Symposium on Multiple-Valued Logic (ISMVL'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.2005.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
Charles Elkan(1994)声称,尽管使用模糊逻辑很受欢迎,但它只能用于控制器,永远不会成功地用于专家系统。这种说法形成了Elkan“悖论”的基础,并依赖于模糊控制器和专家系统之间的区别。然而,目前尚不清楚这种区别是否存在,以及埃尔坎是否有理由利用这种区别来支持他的主张。对这一区别的检验被证明是错误的,Elkan的“悖论”被拒绝了。然后检验了用模糊逻辑对不同类型的模糊性和不确定性进行建模的正确性,以确定模糊逻辑可以成功地用于处理哪些现象。
Charles Elkan (1994) claimed that, despite the popularity of using fuzzy logic, it could only be used in controllers and would never be successfully used in expert systems. This claim forms the basis of Elkan's 'paradox' and relies on a distinction between fuzzy controllers and expert systems. Yet it is unclear whether this distinction even exists and if Elkan is justified in using it to support his claim. An examination of this distinction is undertaken where it is shown to be faulty and Elkan's 'paradox' is rejected. The correctness of using fuzzy logic to model different kinds of vagueness and uncertainty is then examined in an effort to determine the kinds of phenomena fuzzy logic can be successfully used to deal with.