CREATING AND APPLYING A MODEL FOR HUMAN RESOURCES CANDIDATE SELECTION SYSTEM BY USING A FUZZY DATABASE AND FUZZY QUERIES
Retreieving the desired data accurately and quickly is as important as keeping it in an orderly manner. In database systems, data can be accessed by crisp queries. However, by nature, the user does not always use crisp queries. This leads to retrieval of redundant data for the queries. In nature, not everything is built upon exact values and thus needs flexibility. The subjective change of the data from one individual to another makes the query process harder. Thus, there is always a need for flexible query systems. Fuzzy queries and fuzzy databases give us the required flexibility. In this study, a human resources evaluation system was developed into a more flexible one by applying fuzzy databases and fuzzy queries. This is a hard subject to resolve by using crisp data. The data entered into the knowledge base was evaluated through the rule bases that were created and reporting with desired flexibity was achieved.
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