Granular Computing Based Hierarchical Concept Capture Algorithm in Multi-Valued Information System
QIU Tao-Rong1,2, LIU Qing1, HUANG Hou-Kuan2
1.Department of Computer, Nanchang University, Nanchang 330031 2.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044
Abstract An approach is introduced to obtain hierarchical concepts from multi-valued information system with inaccurate or uncertain values. The approximate representations of attribute values are analyzed, and the way of generating tolerance information granules is described. The framework and algorithms are proposed for acquiring hierarchical concepts. Experimental results show that the proposed algorithms are useful and effective.
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2009, Vol. 22 
