WEI Ling1,4*, WANG Zhen1,4, QIAN Ting2,4, WAN Qing3,4
(1 School of Mathematics, Northwest University, Xi′an 710127,Shaanxi,China;2 College of Science, Xi′an Shiyou University, Xi′an 710065,Shaanxi,China;3 School of Science, Xi′an Polytechnic University, Xi′an 710048, Shaanxi, China;4 Institute of Concepts, Cognition and Intelligence, Northwest University, Xi′an 710127, Shaanxi, China)
Abstract:
The knowledge discovery of multi-source data has been one of the most important research spots in Big Data era, however, relevant researches in formal concept analysis are few. Based on which, multi-source formal decision context is firstly defined in this paper. Then, the granular attribute reduction of multi-source formal decision contexts is studied, and the connections with the granular attribute reduction of common formal decision contexts are also researched. Finally, the granular rules acquisition method of multi-source decision formal contexts is proposed.
KeyWords:
multi-source formal decision context; knowledge discovery; attribute reduction; rules acquisition