摘 要:就最近提出的λ- 粗糙集进行变精度的扩展,更加精确地解决实际问题。首先给出变精度λ- 近似空间以及对应上下近似的具体定义,其次给出变精度λ- 近似空间重要的性质以及与λ- 近似空间的不同之处,最后利用变精度粗糙集的优势,给出一个具体的实例,呈现它在决策中的实际应用,并说明变精度λ- 粗糙模型的优越性。
关键词:λ- 粗糙集;变精度;决策
中图分类号:TP18 文献标识码:A 文章编号:2096-4706(2019)23-0005-04
Variable Precision λ-Rough Set Model and Its Application in Decision-making
WU Mengxuan
(Renmin University of China,Beijing 100872,China)
Abstract:This paper extends the variable precision of the recently proposed λ-rough sets to solve practical problems more accurately.Firstly,the definitions of variable precision λ-approximation space and corresponding upper and lower approximation are given,and the important properties of variable precision λ-approximation space and the differences between variable precision λ-approximation space and λ-approximation space are given. Finally,by using the advantages of variable precision rough set,a concrete example is given to show its practical application in decision-making,and the advantages of variable precision λ-rough model are illustrated.
Keywords:λ-rough set;variable precision;decision-making
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作者简介:吴梦轩(1993.06-),男,汉族,河南平顶山人,研究生在读,研究方向:数理统计、大数据。