Title :
Study on representation of uncertainty rough information entropy in rough set
Author :
Xiaopeng, Dai ; Donghui, Li
Author_Institution :
Sch. of Inf. Sci. & Technol., Hunan Agric. Univ., Changsha, China
Abstract :
In the paper, the concept of rough information entropy is proposed. The monotony between the uncertainty of knowledge in the rough set theory and its corresponding rough entropy is proved. The rough entropy of the uncertainty of ordinary set and fuzzy set, and the monotonous relation between the uncertainty of these two kinds of set and their corresponding rough entropy, are discussed. Using the concept of rough entropy, the essence of the uncertainty can be fully reflected from the viewpoint of information.
Keywords :
entropy; fuzzy set theory; rough set theory; fuzzy set; ordinary set; rough set theory; uncertainty rough information entropy representation; Approximation methods; Entropy; Information entropy; Knowledge based systems; Measurement uncertainty; Probability distribution; Uncertainty; Attribute reduct; Rough information entropy; Rough set;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5763934
