{"title":"模糊控制通常比人工控制更好，因为它使用了专家的知识:解释","authors":"V. Kreinovich, R. Lea, O. Fuentes, A. Lokshin","doi":"10.1109/TAI.1992.246357","DOIUrl":null,"url":null,"abstract":"A mathematical explanation as to why fuzzy control is smoother and more stable than control by experts whose experience was used to design the fuzzy control is presented. The analysis indicates that fuzzy control is always continuous and exhibits better performance, even in complicated control situations.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fuzzy control is often better than manual control of the very experts whose knowledge it uses: an explanation\",\"authors\":\"V. Kreinovich, R. Lea, O. Fuentes, A. Lokshin\",\"doi\":\"10.1109/TAI.1992.246357\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A mathematical explanation as to why fuzzy control is smoother and more stable than control by experts whose experience was used to design the fuzzy control is presented. The analysis indicates that fuzzy control is always continuous and exhibits better performance, even in complicated control situations.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246357\",\"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 Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy control is often better than manual control of the very experts whose knowledge it uses: an explanation
A mathematical explanation as to why fuzzy control is smoother and more stable than control by experts whose experience was used to design the fuzzy control is presented. The analysis indicates that fuzzy control is always continuous and exhibits better performance, even in complicated control situations.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
