Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7720
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dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorWong M.H.en_US
dc.contributor.authorLam W.en_US
dc.date.accessioned2023-03-31T04:34:38Z-
dc.date.available2023-03-31T04:34:38Z-
dc.date.issued1989-
dc.identifier.citationData and Knowledge Engineering, 1989, vol. 4 (4), pp. 287 - 304en_US
dc.identifier.issn0169023X-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7720-
dc.description.abstractFuzzy concepts always exist in much of human reasoning as well as decision making. This paper presents a fuzzy expert database system which is an integration of a fuzzy expert system building tool called SYSTEM Z-II and a database management system called Rdb/VMS. This system is able to extract fuzzy data and terms stored in a database and used in the fuzzy reasoning in an expert system. It can also retrieve information by fuzzy database-queries which are generated by the expert system automatically. Many expert systems in different domain areas such as decision making can be constructed. Sample applications are described to demonstrate the flexibility and power of this system. The fuzzy query language defined and used in the system can also be used independently as a fuzzy enquiry tool in database applications. © 1989.en_US
dc.language.isoenen_US
dc.relation.ispartofData and Knowledge Engineeringen_US
dc.titleA fuzzy expert database systemen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1016/0169-023X(89)90027-X-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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