Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (19): 126-130.

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Extended rough set model in generalized incomplete information system

MO Jinglan1,2, LV Yuejin2, GUO Heng2   

  1. 1.Department of Basic Teaching, Lushan College of Guangxi University of Technology, Liuzhou, Guangxi 545616, China
    2.College of Mathematics and Information Science, Guangxi University, Nanning 530004, China
  • Online:2012-07-01 Published:2012-06-27

广义不完备信息系统中一种拓展粗糙集模型

莫京兰1,2,吕跃进2,郭  恒2   

  1. 1.广西工学院 鹿山学院 基础教学部,广西 柳州 545616
    2.广西大学 数学与信息科学学院,南宁 530004

Abstract: The generalized incomplete information system in which lost and absent unknown values coexisting is deeply investigated, [α]degree limited dominance relation is defined for the classification of universe. Based on the [α]degree limited dominance relation, an extended rough set model is proposed. Moreover, concepts of lower and upper approximations are studied as well as their properties. An example of evaluation of teaching quality is used to demonstrate that the proposed extended rough set model is feasible and effective to deal with fuzzy and uncertain knowledge in the generalized incomplete information system.

Key words: rough set theory, generalized incomplete information system, [α]degree limited dominance relation, rough set model

摘要: 以同时具有遗漏型和丢失型未知属性值的广义不完备信息系统为研究对象,定义一种用于分类的[α]程度限制优势关系,提出一种基于[α]程度限制优势关系的拓展粗糙集模型,并给出其上、下近似性质。通过一个教师教学质量评估实例,说明这种模型在广义不完备信息系统中处理模糊和不确定知识是有效和可行的。

关键词: 粗糙集, 广义不完备信息系统, [&alpha, ]程度限制优势关系, 粗糙集模型