A Fuzzy Query Mechanism for Human Resource Website Databases
Autor: | 鄭虹昀 |
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Rok vydání: | 2008 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 96 Web databases are widely used to access information on the internet. However, users’ query requirements are usually imprecise and uncertain. Traditional Web databases queries are based on total matching and partial matching, which is limited in its ability to come to grips with the issues of fuzziness. The result to a query is very often a large amount of data, and the problem of information overload makes it difficult for users to find really useful information. In this proposal, we apply fuzzy logic theory to develop fuzzy queries on Web databases. First, a storing mechanism is used to store fuzzy data into traditional database management systems without modifying DBMS models. Second, a fuzzy query language is proposed for users to make fuzzy queries on Web databases. Fuzzy aggregation is utilized to aggregate all fuzzy degrees of query conditions and to sort the result to a fuzzy query. Third, the fuzzy importance of each fuzzy condition expressed by users can be utilized to find proper data based on user needs. Finally, a human resources website is implemented as an illustrative example of the proposed approach. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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