Carlos D. Barranco, Jesús R. Campaña, J. M. Medina
{"title":"索引模糊数值数据的低实现成本替代方案","authors":"Carlos D. Barranco, Jesús R. Campaña, J. M. Medina","doi":"10.1109/FUZZY.2007.4295627","DOIUrl":null,"url":null,"abstract":"The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Low Implementation Cost Alternative for Indexing Fuzzy Numerical Data\",\"authors\":\"Carlos D. Barranco, Jesús R. Campaña, J. M. Medina\",\"doi\":\"10.1109/FUZZY.2007.4295627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.\",\"PeriodicalId\":236515,\"journal\":{\"name\":\"2007 IEEE International Fuzzy Systems Conference\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2007.4295627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2007.4295627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low Implementation Cost Alternative for Indexing Fuzzy Numerical Data
The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.
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
