Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.620
Rough sets theory is an important tool to deal with uncertain or vague knowledge in AI application. And it has been successfully applied into the problem on classification and decision analysis. For the application of rough sets, it is very important to design an effective algorithm. In this paper, we will show fuzzy similarity relations on attributes between two objects in the fuzzy information system . Then according to the fuzzy similarity relations and rough sets theory on fuzzy information systems it will also deal with support subset and its support degree. Finally, the effectiveness of this method can be seen in an example in this paper.
support subsets, support degree, fuzzy information systems
H. Zhang and R. Wen, "Support Subset in Fuzzy Information Systems," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 786-789.