Title :
Fuzzy queries in Microsoft Access: toward a "more intelligent" use of Microsoft Windows based DBMSs
Author :
J. Kacprzyk;S. Zadrozny
Author_Institution :
Syst. Res. Inst., Polish Acad. of Sci., Warsaw, Poland
Abstract :
As an extension of our previous works, we present an "add-on" to Microsoft Access, one of new Microsoft Windows based popular DBMSs. It allows for a more intelligent and human consistent querying. More specifically, fuzzy (imprecise) descriptions and linguistic quantifiers are accommodated to allow for queries as, e.g., "find (all) records such that most of the (important) clauses (possibly containing vague notions) are satisfied (to a degree from [0,1])". Zadeh´s (1983) fuzzy logic based calculus of linguistically quantified propositions is employed.
Keywords :
"Relational databases","Fuzzy logic","Fuzzy systems","Humans","Data mining","Calculus","Information systems","Graphical user interfaces","Manufacturing","Fuzzy sets"
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.397015