Lattice-valued information systems based on dominance relation

被引：0

作者：

Weihua Xu

Shihu Liu

Wenxiu Zhang

机构：

[1] Chongqing University of Technology,School of Mathematics and Statistics

[2] Xi’an Jiaotong University,School of Management

[3] Beijing Normal University,School of Mathematical Sciences

[4] Xi’an Jiaotong University,School of Science

来源：

International Journal of Machine Learning and Cybernetics | 2013年 / 4卷

关键词：

Attribute reduction; Dempster–Shafer theory of evidence; Dominance relation; Lattice-valued information systems; Rough set;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, as a naturally generalization of classical information systems, lattice-valued information systems based on dominance relation is proposed. An approach for ranking all objects in this system is constructed consequently, and decision makers can find objects with better property to make an useful and effective decision. In addition, the rough set approach to lattice-valued information systems based on dominance relation is established. And evidence theories in this system are formulated for the analysis of lattice-valued information systems based on dominance relation. What is more, in order to acquire concise knowledge representation and extract much simpler decision rules, the methods of attribute reductions based on discernibility matrix and evidence theory are investigated carefully. These results will be helpful for decision-making analysis in lattice-valued information systems based on dominance relation.

引用

页码：245 / 257

页数：12