Knowledge reduction in decision formal contexts
暂无分享,去创建一个
Jinhai Li | Changlin Mei | Yuejin Lv | Jinhai Li | Changlin Mei | Yuejin Lv
[1] Wen-Xiu Zhang,et al. Variable threshold concept lattices , 2007, Inf. Sci..
[2] Wei-Zhi Wu,et al. Approaches to knowledge reduction based on variable precision rough set model , 2004, Inf. Sci..
[3] Rudolf Wille,et al. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.
[4] Ivo Düntsch,et al. Modal-style operators in qualitative data analysis , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[5] Ming-Wen Shao,et al. Reduction method for concept lattices based on rough set theory and its application , 2007, Comput. Math. Appl..
[6] Qiang Wu,et al. Real formal concept analysis based on grey-rough set theory , 2009, Knowl. Based Syst..
[7] Manfred M. Fischer,et al. A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems , 2008, Int. J. Approx. Reason..
[8] Claudio Carpineto,et al. GALOIS: An Order-Theoretic Approach to Conceptual Clustering , 1993, ICML.
[9] Andrei Popescu,et al. A general approach to fuzzy concepts , 2004, Math. Log. Q..
[10] Dan Corbett,et al. A basic mathematical framework for conceptual graphs , 2006, IEEE Transactions on Knowledge and Data Engineering.
[11] Gerd Stumme,et al. Conceptual Knowledge Discovery in Databases Using Formal Concept Analysis Methods , 1998, PKDD.
[12] Gerd Stumme,et al. Document retrieval for e-mail search and discovery using formal concept analysis , 2003, Appl. Artif. Intell..
[13] Lifeng Li,et al. Attribute reduction in fuzzy concept lattices based on the T implication , 2010, Knowl. Based Syst..
[14] Wei-Zhi Wu,et al. Attribute reduction based on evidence theory in incomplete decision systems , 2008, Inf. Sci..
[15] Rokia Missaoui,et al. INCREMENTAL CONCEPT FORMATION ALGORITHMS BASED ON GALOIS (CONCEPT) LATTICES , 1995, Comput. Intell..
[16] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[17] Jinhai Li,et al. A heuristic knowledge-reduction method for decision formal contexts , 2011, Comput. Math. Appl..
[18] Andrzej Skowron,et al. The Discernibility Matrices and Functions in Information Systems , 1992, Intelligent Decision Support.
[19] Tu Bao Ho,et al. An Approach to Concept Formation Based on Formal Concept Analysis , 1995, IEICE Trans. Inf. Syst..
[20] Andrzej Skowron,et al. Boolean Reasoning for Decision Rules Generation , 1993, ISMIS.
[21] Bernard De Baets,et al. Inducing decision trees via concept lattices , 2009, CLA.
[22] Zbigniew W. Ras,et al. Methodologies for Intelligent Systems , 1991, Lecture Notes in Computer Science.
[23] Zhongzhi Shi,et al. A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets , 2009, Inf. Sci..
[24] Yiyu Yao,et al. Concept lattices in rough set theory , 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..
[25] Bernhard Ganter,et al. Formal Concept Analysis , 2013 .
[26] Radim Belohlávek,et al. Concept lattices and order in fuzzy logic , 2004, Ann. Pure Appl. Log..
[27] Hong Wang,et al. Approaches to knowledge reduction in generalized consistent decision formal context , 2008, Math. Comput. Model..
[28] Radim Belohlávek,et al. Fuzzy Galois Connections , 1999, Math. Log. Q..
[29] Xia Wang,et al. Relations of attribute reduction between object and property oriented concept lattices , 2008, Knowl. Based Syst..
[30] Ming-Wen Shao,et al. Rule acquisition and attribute reduction in real decision formal contexts , 2011, Soft Comput..
[31] Samir Elloumi,et al. A multi-level conceptual data reduction approach based on the Lukasiewicz implication , 2004, Inf. Sci..
[32] Radim Belohlávek,et al. Logical Precision in Concept Lattices , 2002, J. Log. Comput..
[33] Claudio Carpineto,et al. Exploiting the Potential of Concept Lattices for Information Retrieval with CREDO , 2004, J. Univers. Comput. Sci..
[34] R. Słowiński. Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory , 1992 .
[35] Ramón Fuentes-González,et al. Concept lattices defined from implication operators , 2000, Fuzzy Sets Syst..
[36] Samir Elloumi,et al. Galois connection, formal concepts and Galois lattice in real relations: application in a real classifier , 2002, J. Syst. Softw..
[37] Horst Herrlich,et al. Galois Connections , 1985, Mathematical Foundations of Programming Semantics.
[38] Claudio Carpineto,et al. A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval , 1996, Machine Learning.
[39] Rokia Missaoui,et al. Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges , 2004, ICFCA.
[40] Ling Wei,et al. Relation between concept lattice reduction and rough set reduction , 2010, Knowl. Based Syst..
[41] Ramón Fuentes-González,et al. The study of the L-fuzzy concept lattice , 1994 .
[42] Yee Leung,et al. Granular Computing and Knowledge Reduction in Formal Contexts , 2009, IEEE Transactions on Knowledge and Data Engineering.
[43] Shuqun Yang,et al. An algorithm of constructing concept lattices for CAT with cognitive diagnosis , 2008, Knowl. Based Syst..
[44] Zhang Wen-xiu,et al. Attribute reduction theory and approach to concept lattice , 2005 .
[45] Yee Leung,et al. Approaches to attribute reduction in concept lattices induced by axialities , 2010, Knowl. Based Syst..
[46] Robert E. Kent,et al. Rough Concept Analysis: A Synthesis of Rough Sets and Formal Concept Analysis , 1996, Fundam. Informaticae.
[47] Ch. Aswanikumar,et al. Concept lattice reduction using fuzzy K-Means clustering , 2010, Expert Syst. Appl..
[48] Wen-Xiu Zhang,et al. Attribute reduction theory of concept lattice based on decision formal contexts , 2008, Science in China Series F: Information Sciences.
[49] Andrei Popescu,et al. Non-commutative fuzzy Galois connections , 2003, Soft Comput..
[50] Rudolf Wille,et al. Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies , 2005, Formal Concept Analysis.
[51] Yiyu Yao,et al. A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis , 2004, Rough Sets and Current Trends in Computing.