论文信息 - Correlation Analysis Between Objects and Attributes

Correlation Analysis Between Objects and Attributes

The theory of concept lattices is an efficient tool for knowledge discovery and processing. This paper discusses the relation between objects and attributes using the theory of concept lattices. Based on two formal contexts, which describe correlation relations among objects and possessing relations between objects and attributes respectively, the possessing relations between a new object and the known attributes are studied, and the corresponding possessing degrees are obtained. This method can discover the potential and unknown relations between a new object and the known attributes.

[1] Sergei O. Kuznetsov,et al. Machine Learning and Formal Concept Analysis , 2004, ICFCA.

[2] Yee Leung,et al. Granular Computing and Knowledge Reduction in Formal Contexts , 2009, IEEE Transactions on Knowledge and Data Engineering.

[3] J. Deogun,et al. Concept approximations based on rough sets and similarity measures , 2001 .

[4] Radim Belohlávek,et al. Concept lattices and order in fuzzy logic , 2004, Ann. Pure Appl. Log..

[5] Sergei O. Kuznetsov,et al. Comparing performance of algorithms for generating concept lattices , 2002, J. Exp. Theor. Artif. Intell..

[6] Yiyu Yao,et al. Concept lattices in rough set theory , 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

[7] Gerd Stumme,et al. Formal Concept Analysis: foundations and applications , 2005 .

[8] Wei Xu,et al. Fuzzy inference based on fuzzy concept lattice , 2006, Fuzzy Sets Syst..

[9] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .

[10] Rudolf Wille,et al. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.

[11] Gerd Stumme,et al. Formal Concept Analysis , 2009, Handbook on Ontologies.

[12] Zhang Wen-xiu,et al. Attribute reduction theory and approach to concept lattice , 2005 .