A Knowledge-Based Approach for Answering Fuzzy Queries over Relational Databases

Authors:
Z. M. Ma;Xiangfu Meng
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, China;College of Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Year:
2008

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Abstract

Users often have vague or imprecise ideas when searching the database. Thus, they might like to issue fuzzy queries for possibly retrieving. Based on fuzzy sets theory and the knowledge base related to the application domain, this paper proposes an approach translating the fuzzy query into the precise query and extending the query criteria ranges in order to provide approximate answers to the user. The fuzzy condition is first defined by a fuzzy number with membership function, and then is translated into the precise condition by using the (-cut operation of fuzzy number. The tuples satisfying the fuzzy query are finally ranked according to their satisfaction degree.