摘要
研究集对系统的特性与粗集理论中等价关系之间的联系与转化方式,构建了粗糙联系度函数,探讨了粗糙联系度函数的基本性质与动态特征,形成了面向不完备信息处理领域的粗糙集对分析方法。将粗糙集对分析方法应用到不含有决策属性的信息系统中,分析不同属性集合的分类结果,构建基于概念划分的分类贴近度,进而给出一种新的属性约简方法,最终通过一个实例验证了该方法的合理性与可行性。
The connection and transformation between system features of set pair and equivalence relation of rough set theory were discussed in this paper, and the Rough connection degree function was constructed. Then it is considered that the basic features and dynamic characters of rough connection degree function and a new rough set pair analysis method is formed for the incomplete information field. Rough set pair analysis method was applied into the information system without decision attribute and the classification between the classification Key words ： results of two condition attribute sets are compared. Then classification closeness degree two attribute sets is constructed. Finally, a new method of attribute reduction based on closeness degree is given and its rationality and feasibility were proved through a case study.
出处
《模糊系统与数学》
CSCD
北大核心
2013年第6期176-181,共6页
Fuzzy Systems and Mathematics
基金
国家自然科学基金资助项目(61370168)
河北省自然科学基金资助项目(A2011209046
A2012209030)
关键词
粗糙集
集对分析
属性约简
联系度
Rough Set
Set Pair Analysis
Attribute Reduction
Connection Degree
