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    Fuzzy logic usage in relational databases

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    Doktorska disertacija pripada oblasti informacionih sistema, odnosno podoblasti koja se bavi upravljanjem skladištenjem i pretraživanjem informacija. Osnovni cilj disertacije je modeliranje i implementacija skupa alata koji omogućavaju upotrebu fazi logike u radu sa relacionim bazama podataka. Da bi se do tog skupa alata došlo, najpre je relacioni model podataka proširen elementima teorije fazi skupova, a zatim je definisano fazi proširenje upitnog jezika SQL – PFSQL. Interpreter za taj jezik je implementiran u okviru fazi JDBC drajvera koji, osim implementacije interpretera, sadrži i elemente koji omogućavaju jednostavnu upotrebu ovih mehanizama iz programskog jezika Java. Skup alata je zaokružen implementacijom CASE alata za razvoj fazi-relacionog modela baze podataka. Osim toga, razmatrane su i mogućnosti za upotrebu PFSQL jezika u višeslojnim aplikacijama.This doctoral dissertation belongs to the field of information systems, subfield information storage and retrieval management. The main subject of the dissertation is modeling and implementation of a set of tools that allow usage of fuzzy logic in relational database applications In order to achieve that goal, at first, the relational data model is extended with elements of fuzzy set theory. After that, a fuzzy extension of the SQL query language, called PFSQL, is defined. An interpreter for that language is implemented as a part of the fuzzy JDBC driver. Beside the implementation of the interpreter, this fuzzy JDBC driver contains elements that allow simple usage of offered mechanisms from Java programming language. The set of tools is concluded with the implementation of the CASE tool for the development of fuzzy-relational data models. In addition, possibilities to use PFSQL language on the middle tier of multi tier systems are discussed
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