计算机应用与软件Issue(3)：242-245,4.DOI:10.3969/j.issn.1000-386x.2014.03.064
一种新的随机模糊属性的最小知识约简
A NOVEL MINIMAL KNOWLEDGE REDUCTION ABOUT RANDOM FUZZY ATTRIBUTE
摘要
Abstract
Aiming at the reduction problem of random fuzzy attribute in information system,the article proposes a novel knowledge reduction approach about random fuzzy attribute.On the foundation of traditional information system knowledge reduction,the approach puts forward random fuzzy information system along with its related concepts,introduces fuzzy belief measures and plausibility measures,after that provides and validates the knowledge reduction theory of random fuzzy information system.Based on these theories,the article proposes a reduction approach based on fuzzy belief measures and plausibility measures and analyzes the time complexity of the algorithm.Theoretical analysis and instance analysis elaborate that the approach can quickly and effectively realize knowledge reduction.关键词
信任测度/似然测度/核属性/最小约简/R-蕴含算子Key words
Belief measures/Plausibility measures/Core attribute/Minimal reduction/R-implication operator分类
信息技术与安全科学引用本文复制引用
李东晖,陈雪刚,廖晓兰,张家录,程杰仁..一种新的随机模糊属性的最小知识约简[J].计算机应用与软件,2014,(3):242-245,4.基金项目
国家自然科学基金项目（60603062，61100194）；湖南省重点建设学科；湖南省教育科学十二五规划课题（XJK011 BXJ004）；湖南省教育厅科研项目（11C1184）；湖南省科技计划资助项目（2013FJ3032）；湖南省哲学社会科学基金项目（13YBA302）。 （）
