Two kinds of multi-level formal concepts and its application for sets approximations
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[1] Radim Belohlávek,et al. Concept lattices and order in fuzzy logic , 2004, Ann. Pure Appl. Log..
[2] Xia Wang,et al. Relations of attribute reduction between object and property oriented concept lattices , 2008, Knowl. Based Syst..
[3] Karl Erich Wolff,et al. A Conceptual View of Knowledge Bases in Rough Set Theory , 2000, Rough Sets and Current Trends in Computing.
[4] Bernhard Ganter,et al. Formal Concept Analysis , 2013 .
[5] Xu Weihua,et al. Knowledge granulation, knowledge entropy and knowledge uncertainty measure in ordered information systems , 2009 .
[6] Jesús Medina,et al. Multi-adjoint t-concept lattices , 2010, Inf. Sci..
[7] Rokia Missaoui,et al. An Incremental Concept Formation Approach for Learning from Databases , 1994, Theor. Comput. Sci..
[8] Andrei Popescu,et al. A general approach to fuzzy concepts , 2004, Math. Log. Q..
[9] Wen-Xiu Zhang,et al. Attribute reduction theory and approach to concept lattice , 2007, Science in China Series F: Information Sciences.
[10] Claudio Carpineto,et al. A lattice conceptual clustering system and its application to browsing retrieval , 2004, Machine Learning.
[11] Zdzislaw Pawlak,et al. Rough Set Theory , 2008, Wiley Encyclopedia of Computer Science and Engineering.
[12] Yiyu Yao,et al. Concept lattices in rough set theory , 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..
[13] Wei-Zhi Wu,et al. Generalized fuzzy rough sets , 2003, Inf. Sci..
[14] Atsuo Murata,et al. Rough Set Approximations in Formal Concept Analysis , 2010, Trans. Rough Sets.
[15] Dexue Zhang,et al. Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory , 2009, Int. J. Approx. Reason..
[16] Lifeng Li,et al. Attribute reduction in fuzzy concept lattices based on the T implication , 2010, Knowl. Based Syst..
[17] Wei-Zhi Wu,et al. Attribute reduction based on evidence theory in incomplete decision systems , 2008, Inf. Sci..
[18] Ramón Fuentes-González,et al. Concept lattices defined from implication operators , 2000, Fuzzy Sets Syst..
[19] Jihoon Kim,et al. Concept lattices for visualizing and generating user profiles for context-aware service recommendations , 2009, Expert Syst. Appl..
[20] Lei Liu,et al. A fast pruning redundant rule method using Galois connection , 2011, Appl. Soft Comput..
[21] Samir Elloumi,et al. A multi-level conceptual data reduction approach based on the Lukasiewicz implication , 2004, Inf. Sci..
[22] Rudolf Wille. Knowledge acquisition by methods of formal concept analysis , 1989 .
[23] Anna Maria Radzikowska,et al. A comparative study of fuzzy rough sets , 2002, Fuzzy Sets Syst..
[24] Samir Elloumi,et al. Galois connection, formal concepts and Galois lattice in real relations: application in a real classifier , 2002, J. Syst. Softw..
[25] Jitender S. Deogun,et al. Sequential Association Rule Mining with Time Lags , 2004, Journal of Intelligent Information Systems.
[26] Wen-Xiu Zhang,et al. Variable threshold concept lattices , 2007, Inf. Sci..
[27] Lei Zhou,et al. On generalized intuitionistic fuzzy rough approximation operators , 2008, Inf. Sci..
[28] Yee Leung,et al. Generalized fuzzy rough sets determined by a triangular norm , 2008, Inf. Sci..
[29] Rudolf Wille,et al. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.
[30] Degang Chen,et al. Local reduction of decision system with fuzzy rough sets , 2010, Fuzzy Sets Syst..
[31] Bernhard Ganter,et al. Formal Concept Analysis , 1999, Springer Berlin Heidelberg.
[32] Chen Degang,et al. Local reduction of decision system with fuzzy rough sets , 2010 .
[33] Wen-Xiu Zhang,et al. Attribute reduction theory of concept lattice based on decision formal contexts , 2008, Science in China Series F: Information Sciences.
[34] Degang Chen,et al. Measures of general fuzzy rough sets on a probabilistic space , 2008, Inf. Sci..
[35] Yee Leung,et al. Granular Computing and Knowledge Reduction in Formal Contexts , 2009, IEEE Transactions on Knowledge and Data Engineering.
[36] Yee Leung,et al. Approaches to attribute reduction in concept lattices induced by axialities , 2010, Knowl. Based Syst..
[37] Radim Belohlávek,et al. A note on variable threshold concept lattices: Threshold-based operators are reducible to classical concept-forming operators , 2007, Inf. Sci..
[38] Radim Belohlavek,et al. FUZZY CLOSURE OPERATORS II , 2002 .
[39] Jitender S. Deogun,et al. Formal Rough Concept Analysis , 1999, RSFDGrC.
[40] Andrei Popescu,et al. Non-dual fuzzy connections , 2004, Arch. Math. Log..
[41] Ivo Düntsch,et al. Modal-style operators in qualitative data analysis , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[42] Yiyu Yao,et al. A Comparative Study of Fuzzy Sets and Rough Sets , 1998 .