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

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

272

Lastpage

276

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212452

Filename

5212452