Application of Rough Set Algorithm Based on Fuzzy Clustering in Flotation Process System

Author

Zhang, Yong ; Li Wang ; Wang, Jiesheng

Author_Institution

Sch. of Electron. & Inf. Eng., Anshan Univ. of Sci. & Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5887

Lastpage

5891

Abstract

Time-varying, strong coupling, nonlinearity and uncertainty are important characteristics in flotation process. A method to realize intelligent control with rough set algorithm based on fuzzy clustering is proposed. Rough set method is just suitable for discrete data. To deal with this problem, fuzzy clustering algorithm is introduced into processing procedure. Fuzzy clustering was used to discretize data. Sequentially the discrete attribute table was gained. And then analysis and reduction of the characteristics of flotation data were accomplished by rough set theory, thereby deducing the control regulation simplified. Using this method solves the problem that it is not very precise by manual manipulation in practice

Keywords

fuzzy control; fuzzy set theory; intelligent control; manufacturing processes; pattern clustering; process control; rough set theory; coupling nonlinearity characteristics; data discretization; data reduction; discrete attribute table; flotation process control; flotation process system; fuzzy clustering; intelligent control; rough set theory; time-varying strong characteristics; uncertainty characteristics; Automation; Clustering algorithms; Couplings; Fuzzy control; Fuzzy sets; Fuzzy systems; Intelligent control; Process control; Set theory; Uncertainty; flotation process control; fuzzy clustering; reducing data; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714207

Filename

1714207