Paper Info
Title
A Fuzzy Query Approach to Human Resource Web Services
Abstract
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.
Year
DOI
Venue
2013
10.1109/ICEBE.2013.72
ICEBE
Keywords
Field
DocType
fuzzy set theory,fuzzy condition,human resource management,web services,human resource web,storing mechanism store fuzzy data,human resource web services,conventional database management systems,fuzzy query approach,fuzzy query language,fuzzy query,fuzzy weighted average,human resource web service,fuzzy logic,dbms models,web sites,sql query,service-oriented architecture,database query,fuzzy logic theory,human resource websites,fuzzy databases,human resource web sites,fuzzy importance,fuzzy data,query processing,sql,service oriented architecture
SQL,Data mining,Neuro-fuzzy,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy set,Adaptive neuro fuzzy inference system,Web service,Service-oriented architecture
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Lien-Fu Lai15010.02
Chao-Chin Wu213920.50
Yi-Ta Hsieh302.03
Liang-Tsung Huang48811.88