论文信息 - Attribute reduction of large crisp-real concept lattices

Attribute reduction of large crisp-real concept lattices

In this paper, we discuss the problems of attribute reduction of large crisp-real concept lattices. We show how to remove redundant attribute from real set formal contexts without loss any of knowledge. By the proposed approach, we remove the attributes which are not essential to the structure of large crisp-real concept lattices.

Ming-Wen Shao | Ya-Li Guo

[1] Rudolf Wille,et al. A Triadic Approach to Formal Concept Analysis , 1995, ICCS.

[2] Ramón Fuentes-González,et al. Concept lattices defined from implication operators , 2000, Fuzzy Sets Syst..

[3] Olivier Ridoux,et al. A Logical Generalization of Formal Concept Analysis , 2000, ICCS.

[4] Laurent Chaudron,et al. Generalized Formal Concept Analysis , 2000, ICCS.

[5] R. Belohlávek. Fuzzy Closure Operators , 2001 .

[6] Samir Elloumi,et al. Galois connection, formal concepts and Galois lattice in real relations: application in a real classifier , 2002, J. Syst. Softw..

[7] Radim Belohlávek,et al. Logical Precision in Concept Lattices , 2002, J. Log. Comput..

[8] Samir Elloumi,et al. A multi-level conceptual data reduction approach based on the Lukasiewicz implication , 2004, Inf. Sci..

[9] Jitender S. Deogun,et al. Monotone concepts for formal concept analysis , 2004, Discret. Appl. Math..

[10] Andrei Popescu,et al. A general approach to fuzzy concepts , 2004, Math. Log. Q..

[11] Andrei Popescu,et al. Non-dual fuzzy connections , 2004, Arch. Math. Log..

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

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