摘要
如何有效、快速地处理复杂数据,并提取出隐含其中的、潜在有用的知识成为了数据科学领域亟待破解的科学问题。为此,在经典模糊序决策信息系统中,结合不同的属性具有不完全相同的重视程度这一现象,通过条件属性增加权重向量的方法,建立了该复杂系统的分配函数,定义了分配约简,进一步给出了该信息系统分配约简的辨识矩阵求解方法,最后通过案例说了该方法的有效性。
How to effectively and quickly deal with complex data and extract the implicit and potentially useful knowledge has become an urgent scientific problem in the field of data science.To this end,in the classical fuzzy order decision information system and on the basis of the fact that different attributes have different attention,an assignment function was established and the assignment reduction was defined by adding the weight vector to the conditional attributes.Furthermore,the solution method of identification matrix for assignment reduction was proposed for the information system.Finally,the effectiveness of the current method was illustrated by a case.
作者
徐伟华
李泽峰
黄旭东
XU Weihua;LI Zefeng;HUANG Xudong(College of Artificial Intelligent,Southwest University,Chongqing 400715,China)
出处
《海南热带海洋学院学报》
2022年第2期74-79,共6页
Journal of Hainan Tropical Ocean University
基金
国家自然科学基金项目(61976245)。
关键词
粗糙集
权重向量
分配函数
属性约简
rough set
weight vector
distribution function
attribute reduction
