Title :
On the application of rough sets to data mining in economic practice
Author :
Zhang, Qun-Feng ; Zhao, Su-yun ; Bai, Yun-Chao
Author_Institution :
Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
Abstract :
Mathematical models play an important role in the studies of modern economics. But in many fields of economics, it is difficult to build mathematical models for complex phenomena. So data mining is getting more and more popular in discovering the potential pattern of economic knowledge from databases. As a powerful tool for data mining, rough set theory has been widely used. In this research, we draw guidelines from several cases of rough set application in economic practice. Furthermore, to avoid the drawbacks of the existing methods, we develop a methodology for rough analysis in economic sector by combining the advantages of the fuzzy variable precision rough set model.
Keywords :
data mining; economic cybernetics; fuzzy set theory; rough set theory; data mining; economic practice; fuzzy variable precision; rough sets theory; Cybernetics; Data mining; Fuzzy set theory; Fuzzy sets; Guidelines; Machine learning; Mathematical model; Power generation economics; Rough sets; Set theory; Data mining; Fuzzy variable precision rough sets; Reducts; Rough sets;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212452
