Fuzzy improvement of the SQL
Structured Query Language (SQL) is used to obtain data from relational databases. Fuzzy improvement of SQL queries has advantages in cases when the user cannot unambiguously define selection criteria or when the user wants to examine data that almost meet the given criteria. In this paper we exam...
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| Format: | Article |
| Language: | English |
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University of Belgrade
2011-01-01
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| Series: | Yugoslav Journal of Operations Research |
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| Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431102239H.pdf |
| _version_ | 1819274835696549888 |
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| author | Hudec Miroslav |
| author_facet | Hudec Miroslav |
| author_sort | Hudec Miroslav |
| collection | DOAJ |
| description | Structured Query Language (SQL) is used to obtain data from relational databases. Fuzzy improvement of SQL queries has advantages in cases when the user cannot unambiguously define selection criteria or when the user wants to examine data that almost meet the given criteria. In this paper we examine a realization of the fuzzy querying concept. For this purposes the fuzzy generalized logical condition for the WHERE part of the SQL is created. It allows users to create queries by linguistic terms. The proposed model is an extension of the SQL so that no modification inside databases has to be undertaken. |
| first_indexed | 2024-12-23T23:14:45Z |
| format | Article |
| id | doaj.art-4e4e3e9889bd482597c01e62016f4295 |
| institution | Directory Open Access Journal |
| issn | 0354-0243 1820-743X |
| language | English |
| last_indexed | 2024-12-23T23:14:45Z |
| publishDate | 2011-01-01 |
| publisher | University of Belgrade |
| record_format | Article |
| series | Yugoslav Journal of Operations Research |
| spelling | doaj.art-4e4e3e9889bd482597c01e62016f42952022-12-21T17:26:32ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2011-01-0121223925110.2298/YJOR1102239HFuzzy improvement of the SQLHudec MiroslavStructured Query Language (SQL) is used to obtain data from relational databases. Fuzzy improvement of SQL queries has advantages in cases when the user cannot unambiguously define selection criteria or when the user wants to examine data that almost meet the given criteria. In this paper we examine a realization of the fuzzy querying concept. For this purposes the fuzzy generalized logical condition for the WHERE part of the SQL is created. It allows users to create queries by linguistic terms. The proposed model is an extension of the SQL so that no modification inside databases has to be undertaken.http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431102239H.pdfSQLfuzzy querygeneralized logical conditiondatabase |
| spellingShingle | Hudec Miroslav Fuzzy improvement of the SQL Yugoslav Journal of Operations Research SQL fuzzy query generalized logical condition database |
| title | Fuzzy improvement of the SQL |
| title_full | Fuzzy improvement of the SQL |
| title_fullStr | Fuzzy improvement of the SQL |
| title_full_unstemmed | Fuzzy improvement of the SQL |
| title_short | Fuzzy improvement of the SQL |
| title_sort | fuzzy improvement of the sql |
| topic | SQL fuzzy query generalized logical condition database |
| url | http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431102239H.pdf |
| work_keys_str_mv | AT hudecmiroslav fuzzyimprovementofthesql |