Title :
New Method for the Measurement on the Roughness of Rough Set
Author :
Yang, Zhihui ; Yin, Yunqiang
Author_Institution :
Fac. of Math. & Informationa Sci., East China Inst. of Technol., Fuzhou, China
Abstract :
Rough set theory is an important technique for knowledge discovery in databases. The measurement of the uncertainty of knowledge is one of the important issues in rough set theory. The definitions of entropy and the conditional entropy in the process of probability are given, and the meanings of entropy and the conditional entropy are explained in this paper. In addition, the new definition of the rough entropy of set X is given by considering the granularity of knowledge modules caused by binary relations and the granularity of the boundary of X.
Keywords :
data mining; entropy; probability; rough set theory; conditional entropy; knowledge discovery; probability; rough set theory; Approximation methods; Entropy; Erbium; Information entropy; Measurement uncertainty; Set theory; Uncertainty; conditional entropy; entropy; probability; rough entropy; uncertainty;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.12
