DocumentCode
3107320
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
fYear
2011
fDate
16-18 Aug. 2011
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Applications (iTAP), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7253-6
Type
conf
DOI
10.1109/ITAP.2011.6006358
Filename
6006358
Link To Document