Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7714
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dc.contributor.authorWong M.H.en_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.date.accessioned2023-03-31T04:11:15Z-
dc.date.available2023-03-31T04:11:15Z-
dc.date.issued1990-
dc.identifier.citationInformation Systems, 1990, vol. 15 (5), pp. 583 - 590en_US
dc.identifier.issn03064379-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7714-
dc.description.abstractSelection conditions for conventional database-query languages are not natural enough to express criteria with fuzzy concepts. To choose some alternatives from a database requires the techniques of multicriteria decision making or conflict resolution. However, some traditional techniques in this area still have some drawbacks, such as inefficiency and independency of criteria. In this paper a fuzzy database-query language is presented and its position in the area of multicriteria decisions making in database applications is discussed and identified. The selection constraints of this query language can accept both crispy and fuzzy conditions. © 1990.en_US
dc.language.isoenen_US
dc.relation.ispartofInformation Systemsen_US
dc.titleA fuzzy database-query languageen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1016/0306-4379(90)90030-S-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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