JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (7): 13-21.doi: 10.6040/j.issn.1671-9352.4.2017.077

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Reduct updating method in a dynamic formal context based on granular discernibility attribute matrix

HUANG Tao-lin1, NIU Jiao-jiao2,3, LI Jin-hai2,3*   

  1. 1. Department of Sports, Kunming University of Science and Technology, Kunming 650500, Yunnan, China;
    2. Data Science Research Center, Kunming University of Science and Technology, Kunming 650500, Yunnan, China;
    3. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Received:2017-03-06 Online:2017-07-20 Published:2017-07-07

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Abstract: Knowledge reduction is an important researchdirection in knowledge discovery. Its research can make rule acquisition easier from data. However, in the real-world, information updating happens as time goes by. This paper mainly discusses how to get the new granular consistent set when the formal context in an updating state from the perspective of granular discernibility matrix. Finally, some properties about granular discernibility attribute matrix are discussed.

Key words: reduct updating, dynamic formal context, concept lattice, granular reduct

CLC Number: 

  • TP18
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