优势关系下不协调目标信息系统的部分一致约简  

Partially Consistent Reduction in Inconsistent Information Systems Based on Dominance Relations

作　　者：徐伟华[1] 张晓燕[1] 张文修[2] 

机构地区：[1]重庆理工大学数理学院,重庆400054 [2]西安交通大学理学院信息与系统科学研究所,陕西西安710049

出　　处：《模糊系统与数学》2009年第6期155-161,共7页Fuzzy Systems and Mathematics

基　　金：重庆市教委科技项目(KJ090612)

摘　　要：在基于优势关系下的不协调目标信息系统中引入了部分一致约简的概念,并得到了部分一致约简的判定定理以及辨识矩阵,建立了不协调目标信息系统的部分一致约简的具体方法,同时通过实例验证了该方法的有效性,从而为优势关系下信息系统的知识发现提供了理论基础。Knowledge reduction is one of the most important problems in rough set theory. However, most of information systems are based on dominance relations because of various factors. To acquire brief decision rules from inconsistent systems based on dominance relations, knowledge reductions are needed. The main aim of this paper is to study the problem. The concept of partially consistent reduction is introduced in information systems based on dominance relations. And the judgment theorem and discernibility matrix are obtained, from which we can provide the approach to those reductions in inconsistent systems based on dominance relations. Finally, an example illustrates the validity of this method.

关 键 词：粗糙集 信息系统 部分一致约简 辨识矩阵 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]