Data Mining Based on Fuzzy Rough Set Theory and Its Application in the Glass Identification
Ruying Sun
Modern Applied Science, 2009, vol. 3, issue 8, 100
Abstract:
To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is introduced to fuzzify the continual attribute, and the best minute class number is obtained by cluster validity analysis. The relationship of glass composition and its application is excavated using data mining method in this paper.
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ccsenet.org/journal/index.php/mas/article/download/3518/3194 (application/pdf)
https://ccsenet.org/journal/index.php/mas/article/view/3518 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ibn:masjnl:v:3:y:2009:i:8:p:100
Access Statistics for this article
More articles in Modern Applied Science from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().