{"title":"自适应模糊系统","authors":"B. Kosko","doi":"10.1364/optcomp.1991.tub1","DOIUrl":null,"url":null,"abstract":"Fuzziness is multivaluedness. Truth, set membership, and subset containment take on degrees in [0, 1] instead of taking on only the limiting bivalent extremes in {0, 1}. The degrees in [0, 1] define fuzzy units, or fits. Statements are true to some degree. An element belongs to, or fits in, a fuzzy set to some degree. One fuzzy set contains another fuzzy set to some degree.","PeriodicalId":302010,"journal":{"name":"Optical Computing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Fuzzy Systems\",\"authors\":\"B. Kosko\",\"doi\":\"10.1364/optcomp.1991.tub1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzziness is multivaluedness. Truth, set membership, and subset containment take on degrees in [0, 1] instead of taking on only the limiting bivalent extremes in {0, 1}. The degrees in [0, 1] define fuzzy units, or fits. Statements are true to some degree. An element belongs to, or fits in, a fuzzy set to some degree. One fuzzy set contains another fuzzy set to some degree.\",\"PeriodicalId\":302010,\"journal\":{\"name\":\"Optical Computing\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/optcomp.1991.tub1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/optcomp.1991.tub1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzziness is multivaluedness. Truth, set membership, and subset containment take on degrees in [0, 1] instead of taking on only the limiting bivalent extremes in {0, 1}. The degrees in [0, 1] define fuzzy units, or fits. Statements are true to some degree. An element belongs to, or fits in, a fuzzy set to some degree. One fuzzy set contains another fuzzy set to some degree.
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