JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2020, Vol. 55 ›› Issue (5): 46-54.doi: 10.6040/j.issn.1671-9352.c.2020.003

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Granular structure in multi-source formal contexts

LI Shuang-ling, YUE Xiao-wei, QIN Ke-yun   

  1. School of Mathematics, Southwest Jiaotong University, Chengdu 611756, Sichuan, China
  • Published:2020-05-06

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Abstract: Knowledge discovery of multi-source data is an important problem that needs to be solved urgently in the field of big data analysis. Based on the theory of residuated lattices, the granular structure of concepts in fusion L fuzzy formal context of multi-source formal contexts is investigated. The relationships between the variable threshold concepts in the fusion L fuzzy formal context and the concepts in the single source formal contexts are surveyed. The granular reduction method for the fusion L fuzzy formal context is presented and the relationship between the granular reduction of this fuzzy formal context and that of single-source formal contexts are investigated.

Key words: multi-source formal context, fuzzy concept context, variable threshold concept lattices, granular reduction

CLC Number: 

  • TP18
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