A novel attribute reduction approach based on the object oriented concept lattice

Authors:
Mingwen Shao;Li Guo;Lan Li
Affiliations:
Computer Engineering Institute, Qingdao Technological University, Qingdao, Shandong, P.R. China and College of Information Science and Technology, Shihezi University, Shihezi, Xinjiang, P.R. China;College of Information Science and Technology, Shihezi University, Shihezi, Xinjiang, P.R. China;Computer Engineering Institute, Qingdao Technological University, Qingdao, Shandong, P.R. China
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

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Abstract

Attribute reduction is one basic issue in the analysis of information tables. In this paper, the approaches to attribute reduction in formal context based on the object oriented concept lattice are investigated. We first introduce the notions of context matrix and the operations of corresponding column vectors. Then present some judgment theorems for attribute reduction in formal contexts. Based on the judgment theorems, we propose an attribute reduction approach and show concrete reduction algorithm.