Title :
Conceptual hierarchy based rough set model
Author :
Wang, Quan-De ; Wang, Xian-jia ; Zhao, Min ; Wang, Da-liang
Author_Institution :
Sch. of Electron & Inf., Wuhan Univ., China
Abstract :
This paper introduces the conceptual hierarchy of attributes and gives the definition of it. Two new types of information systems - conceptual hierarchy based information system and conceptual hierarchy based decision table, are constructed by generating conceptual hierarchies of every attributes in information system. Attributes and conceptual hierarchies of these attributes are two features of our knowledge about objects in an information system and all are important to analyze data in information system. Therefore, a conceptual hierarchy based rough set model is built in this paper. Approximate space, lower and upper of them is presented too. The conclusions of this paper indicate that conceptual hierarchy based rough set model is more general rough set model and can be used in many fields.
Keywords :
data mining; decision making; decision tables; information systems; rough set theory; attributes; conceptual hierarchy; decision table; information system; lower approximation; rough set model; space approximation; upper approximation; Aerospace engineering; Data analysis; Data mining; Electrons; Fuzzy set theory; Information analysis; Information systems; Machine learning; Set theory; Systems engineering and theory;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264510
