Title :
Research on Fuzzy Rules Query and Automatic Extraction Algorithm
Author :
Li Yanhong ; Guo Zhongqiang
Author_Institution :
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai, China
Abstract :
To meet the needs of desire of using natural language to describe data analysis, this paper combines ideas of both fuzzy query language and linguistic summaries, introduces fuzzy set theory and presents a more powerful algorithm based on relational database, which can find fuzzy rules among crisp data. As a result, an automatic fuzzy rule extraction system is developed, which can support users extract and verify data rules in natural language.
Keywords :
data analysis; fuzzy set theory; natural language processing; query processing; relational databases; automatic fuzzy rule extraction system; data analysis; fuzzy rule query; fuzzy set theory; linguistic summaries; natural language; relational database; Algorithm design and analysis; Arrays; Computers; Data mining; Databases; Pragmatics; Remuneration;
Conference_Titel :
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7253-6
DOI :
10.1109/ITAP.2011.6006358
