Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (7): 7-12.doi: 10.3969/j.issn.1000-565X.2011.07.002

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Fuzzy Rough Monotone Dependence Algorithm Based on Decision Table and Its Application

Liang Jin1,2  Luo FeiXu Yu-ge1   

  1. 1. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. School of Education Information Technology,South China Normal University,Guangzhou 510631,Guangdong,China
  • Received:2010-11-18 Revised:2011-03-01 Online:2011-07-25 Published:2011-06-03
  • Contact: 梁瑾(1973-) ,男,在职博士生,华南师范大学副教授,主要从事系统工程、决策与控制研究. E-mail:liang-1-1@163.com
  • About author:梁瑾(1973-) ,男,在职博士生,华南师范大学副教授,主要从事系统工程、决策与控制研究.
  • Supported by:

    国家自然科学基金资助项目( 60774032) ; 广东省自然科学基金博士科研启动项目( 9451064101002853) ; 广东省自然科学基金资助项目( 10151064101000075) ; 华南理工大学中央高校基本科研业务费专项资金资助项目( 2011ZM0126)

Abstract:

In order to reveal the quantity monotone dependence of the output on the input,a fuzzy monotone dependence algorithm based on decision table is proposed by analyzing the data about the quantity dependence in practice and by applying the fuzzy rough set theory. Then,the concepts such as the fuzzy monotone dependence and the fuzzy monotone increasing dependence membership function are defined by interval mapping,and the parameters and characteristics describing the fuzzy monotone increasing dependence are discussed. Moreover,the correlative proposition is proved. The proposed algorithm is finally applied to the wastewater treatment,with its effectiveness in data mining being verified.

Key words: data mining, fuzzy rough set, decision table, fuzzy monotone dependence, mapping, membership function, interval partition, increasing dependence

CLC Number: