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| Analysis and Comparison of Concept Lattices from the Perspective of Three-Way Decisions |
| LI Leijun1,2, LI Meizheng3, XIE Bin4, MI Jusheng1,2 |
1.College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang 050024.
2.Hebei Key Laboratory of Computational Mathematics and Applications, Hebei Normal University, Shijiazhuang 050024.
3.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031.
4.College of Information Technology, Hebei Normal University, Shijiazhuang 050024 |
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Abstract Based on the construction of formal concepts and the constitution of formal contexts, the inherent connections between different concept lattices are explored from the perspective of three-way decisions. The comparison of the concept lattices in classical formal context and incomplete formal context, as well as in fuzzy formal context and intuitionistic fuzzy formal context, is given, respectively. Then, the important value of three-way decisions in concept lattice theory is shown. Compared with the concept lattices in classical formal context and fuzzy formal context, the concept lattices in incomplete formal context and intuitionistic fuzzy formal context can reflect the idea of three-way decisions, and they have advantages of small data storage requirement, concise attribute reduction, etc.
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Received: 08 March 2016
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| Fund:Supported by National Natural Science Foundation of China (No.61502144,61573127,61472463,61300121,11301137), Natural Science Foundation of Hebei Province (No.A2014205157), Natural Science Foundation of Higher Education of Hebei Province (No.QN2016133), Training Program for Leading Talents of Innovation Teams in the Universities of Hebei Province (No.LJRC022), Doctoral Program of Hebei Normal University (No.L2015B01) |
About author:: (LI Leijun(Corresponding author), born in 1985, Ph.D., lecturer. His research interests include granular computing, three-way decisions and ensemble learning.)
>(LI Meizheng, born in 1984, Ph.D. candidate. Her research interests include concept lattice and rough set.)
(XIE Bin, born in 1976, Ph.D., professor. His research interests include granular computing and approximate reaso-ning.)
(MI Jusheng, born in 1966, Ph.D., professor. His research interests include granular computing and approximate reaso-ning.) |
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2016, Vol. 29 
