基于三支概念格合并的决策背景规则提取

Rules Extraction in Formal Decision Contexts Based on the Merging of Three-Way Concept Lattices

  • 摘要: 作为当前形式概念分析领域的研究热点,利用三支概念格可以实现更为有效的决策分析。该文在现有基于属性导出三支概念格的规则提取基础上,研究了基于对象导出三支概念格的规则提取,并与经典概念格及属性导出三支概念格下的规则提取进行了比较。然后通过对象导出三支概念格和属性导出三支概念格的合并,定义了对象/属性导出合并三支概念格,并提出了相应的规则提取算法。理论分析和实例结果表明,对象导出三支概念格和属性导出三支概念格的合并进一步改善了生成规则的质量。

     

    Abstract: As one of the research focuses in the field of formal concept analysis, three-way concept lattice can make more effective decision analysis. Firstly, the rule extraction based on object-induced three-way concept are investigated and compared compared with those of the classical concept lattice and attribute-induced three-way concept lattice. Then, by merging the object-induced three-way concept lattice and the attribute-induced three-way concept lattice, a new three-way concept lattice, i.e. object-attribute-induced three-way concept lattice, and its rule extraction0 algorithm are proposed. Theoretical analyses and results show that the merging of object-induced three-way concept lattice and attribute-induced three-way concept lattice can improve the quality of rules.

     

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