A Fuzzy Query Approach to Human Resource Web Services

Most human resource websites apply SQL queries to find jobs or candidates, and users must state definite conditions to conduct database queries. We apply fuzzy logic theory and the service-oriented architecture to develop human resource web services. We propose a storing mechanism store fuzzy data into conventional database management systems without modifying DBMS models and a fuzzy query language for users to make fuzzy queries on fuzzy databases. Each fuzzy condition is related to a fuzzy importance to differentiate between fuzzy conditions according to their degrees of importance. We use the fuzzy weighted average to aggregate all fuzzy conditions based on their degrees of importance and degrees of matching. Finally, our proposed service-oriented architecture simultaneously makes fuzzy queries on several human resource websites to integrate the query results.