{"title":"使用模糊属性建模数据","authors":"Angélica Urrutia, José Galindo, M. Piattini","doi":"10.1109/SCCC.2002.1173182","DOIUrl":null,"url":null,"abstract":"We present a proposal for the application of fuzzy logic to conceptual modeling as an extension to the EER model. In order to do this, we extend some EER components to fuzzy ERR and we propose a notation for fuzzy representations, such as fuzzy values in the attributes, the degree in each value of an attribute and the degree in a set of values of diverse attributes, as well as fuzzy entities treated as a degree in all the instances of the entity. In the case of the degrees we have found that these may have a different meaning to that which we are trying to represent.","PeriodicalId":130951,"journal":{"name":"12th International Conference of the Chilean Computer Science Society, 2002. Proceedings.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Modeling data using fuzzy attributes\",\"authors\":\"Angélica Urrutia, José Galindo, M. Piattini\",\"doi\":\"10.1109/SCCC.2002.1173182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a proposal for the application of fuzzy logic to conceptual modeling as an extension to the EER model. In order to do this, we extend some EER components to fuzzy ERR and we propose a notation for fuzzy representations, such as fuzzy values in the attributes, the degree in each value of an attribute and the degree in a set of values of diverse attributes, as well as fuzzy entities treated as a degree in all the instances of the entity. In the case of the degrees we have found that these may have a different meaning to that which we are trying to represent.\",\"PeriodicalId\":130951,\"journal\":{\"name\":\"12th International Conference of the Chilean Computer Science Society, 2002. Proceedings.\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th International Conference of the Chilean Computer Science Society, 2002. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCCC.2002.1173182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference of the Chilean Computer Science Society, 2002. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC.2002.1173182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present a proposal for the application of fuzzy logic to conceptual modeling as an extension to the EER model. In order to do this, we extend some EER components to fuzzy ERR and we propose a notation for fuzzy representations, such as fuzzy values in the attributes, the degree in each value of an attribute and the degree in a set of values of diverse attributes, as well as fuzzy entities treated as a degree in all the instances of the entity. In the case of the degrees we have found that these may have a different meaning to that which we are trying to represent.
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