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Incomplete Information Systems Processing Based on Fuzzy-Clustering
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.782006 IEEE/WIC/ACM International Confe ...
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Qinghua Zhang, Guoyin Wang, Jun Hu, Xianquan Liu, "Incomplete Information Systems Processing Based on Fuzzy-Clustering," Web Intelligence and Intelligent Agent Technology, International Conference on, pp. 486-489, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006.
 
 
BibTex
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@article{ 10.1109/WI-IATW.2006.78,
author = {Qinghua Zhang and Guoyin Wang and Jun Hu and Xianquan Liu},
title = {Incomplete Information Systems Processing Based on Fuzzy-Clustering},
journal ={Web Intelligence and Intelligent Agent Technology, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2749-3},
pages = {486-489},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.78},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Web Intelligence and Intelligent Agent Technology, International Conference on
TI - Incomplete Information Systems Processing Based on Fuzzy-Clustering
SN - 0-7695-2749-3
SP486
EP489
A1 - Qinghua Zhang,
A1 - Guoyin Wang,
A1 - Jun Hu,
A1 - Xianquan Liu,
PY - 2006
KW - null
VL - 0
JA - Web Intelligence and Intelligent Agent Technology, International Conference on
ER -
 
Qinghua Zhang, Southwest Jiaotong University, China; Chongqing University of Posts and Telecommunications, China
Guoyin Wang, Southwest Jiaotong University, China; Chongqing University of Posts and Telecommunications, China
Jun Hu, Chongqing University of Posts and Telecommunications, China
Xianquan Liu, Southwest Jiaotong University, China; Chongqing University of Posts and Telecommunications, China
The classical rough set theory developed by Prof. Z.Pawlak can?t process incomplete information systems directly. A new method based on fuzzy-clustering is proposed in this paper. The nonequivalence relation defined in incomplete information systems is transformed into an equivalence relation at first, then the variable upper-approximation, variable lower-approximation and variable positive region are developed using the classical rough set theory. Finally, the relations between our method and several other extended rough set models are studied.
Citation:
Qinghua Zhang, Guoyin Wang, Jun Hu, Xianquan Liu, "Incomplete Information Systems Processing Based on Fuzzy-Clustering," wi-iatw, pp.486-489, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006
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