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

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3 Author(s)
Yong Zhang ; Sch. of Electron. & Inf. Eng., Anshan Univ. of Sci. & Technol. ; Li Wang ; Jiesheng Wang

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

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Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:2 )

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