计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 271-274.

• 人工智能 • 上一篇    下一篇

改进的变精度粗糙集在概念格构造中的应用研究

徐红升,张瑞玲   

  1. (洛阳师范学院信息技术学院 洛阳471022)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Application of Improved Variable Precision Rough Set in Concept Lattice Construction

  • Online:2018-11-16 Published:2018-11-16

摘要: 根据可变精度粗糙集的R-上、下分布约简算法的优势,结合概念格形式背景的特点,将二者有机地结合,提出了基于变精度粗糙集的概念格约减算法。分析了变精度粗糙集模型中的R值的选取算法、可辨识矩阵属性约简,以及传统算法中存在的问题,并进行了改进。最后,为了验证改进后算法的有效性,设计了基于变精度粗糙集的概念格生成系统,通过一个实例演示了构造概念格的整个过程,并通过实验证明了算法的有效性。

关键词: 变精度粗糙集,概念格,属性约减,规则提取

Abstract: The algorithm of concept lattice reduction based on variable precision rough set was proposed by combining the algorithms of汗upper and lower distribution reduction in variable precision rough set with the characteristics of the formal context in concept lattice. The traditional algorithms about value select algorithm, attribute reduction based on discernibility matrix in VPRS were discussed. There are defects in these traditional algorithms which are improved. Finally, the generation system of concept lattice based on variable precision rough set was designed to verify the validity of the improved algorithm. And a case demonstrates the whole process of concept lattice construction. The experimental results indicate that this algorithm has great validity.

Key words: Variable precision rough set, Concept lattice, Attribute reduction, Extraction rule

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