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基于决策向量的分辨矩阵构造方法
黄治国1,杨清琳21,2
1.河南工程学院 计算机学院,河南 郑州 451191;2.广西财经学院 现代教育技术部,广西 南宁 530003
摘要:
Skowron分辨矩阵是代数观点属性约简模型的一种演化,其本质在于保持系统中非冲突对象与其他对象的可分辨关系不变,不能刻画常见的非代数观点属性约简准则.属性约简准则的本质体现为保持决策信息系统的某种特定可分辨特性不发生变化,决策信息系统具有多方面可分辨特性,单一属性约简准则仅能刻画其中某一特性.为将不同的属性约简准则运用统一的分辨矩阵形式加以描述,在定义条件等价类的决策向量基础上,构建了决策向量简化决策系统,进而设计满足不同属性约简准则的分辨矩阵及分辨函数,给出其与对应准则属性约简模型的等价性证明,推理证明与仿真实例说明了该方法的可行性与有效性.
关键词:  属性约简  约简准则  决策向量  分辨矩阵
DOI:
分类号:TP18
基金项目:河南省高等学校重点科研资助项目(17A520027);河南工程学院博士基金资助项目 (D2013003)
The Method based on Decision Vector forGenerating Discernibility Matrix
Huang Zhiguo1, Yang Qinglin21,2
1.School of Computer Science, Henan University of Engineering, Zhengzhou 451191, China;2.Modern Educational Technology Department, Guangxi University of Finance and Economics, Nanning 530003, China
Abstract:
The attribute reduction model based on Skowrons discernibility matrix is equivalent to attribute reduction model under algebra view. Its essence lies in preserving the discernible information between consistent objects and other objects, but cant describe the attribute reduction criterion of non-algebra view. The essence of attribute reduction criterion is to maintain a certain discernibility characteristic of decision information system, the decision information system has many different discernibility characteristics, and the single attribute reduction criterion only describe one of them. In order to describe different attribute reduction criterions using uniform discernibility matrix, the conception of decision vectors for condition equivalence classes were defined and decision vector discernibility matrix was constructed based on this conception, then the discernibility matrix and discernibility function satisfying different reduction criterion were designed respectively. The equivalence between different reduction criterions and corresponding discernibility matrix was strictly proved. The Reasoning proof and simulation example shows the feasibility and effectiveness of the proposed method.
Key words:  attribute reduction  reduction criterion  decision vector  discernibility matrix
湖南科技大学学报(自然科学版)
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