Attribute reduction and rule acquisition of formal decision context based on object (property) oriented concept lattices

  • Keyun Qin
  • Bo Li
  • Zheng Pei
Original Article


The study of concept lattices, property oriented concept lattices and object oriented concept lattices provides complementary conceptual structures, which can be used to search, analyze and extract information from data sets. This paper is devoted to the study of rule acquisition and attribute reduction of formal decision context. Based on object oriented concepts and property oriented concepts, the notions of object oriented decision rules and property oriented decision rules are proposed. By using some equivalence relations on the set of extents of the related conditional concept lattices and decision concept lattices, the rule acquisition methods are presented. The attribute reduction approaches for formal decision context to preserve the object oriented decision rules and property oriented decision rules are put forward by using discernibility attributes.


Formal concept analysis Object oriented and property oriented concept lattice Decision rule Attribute reduction 



This work has been partially supported by the National Natural Science Foundation of China (Grant nos. 61473239, 61372187), and the Fundamental Research Funds for the Central Universities of China (Grant no. 2682014ZT28).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of MathematicsSouthwest Jiaotong UniversityChengduChina
  2. 2.The School of Information Science and TechnologySouthwest Jiaotong UniversityChengduChina
  3. 3.School of Computer and Software EngineeringXihua UniversityChengduChina

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