计算机工程与应用2011，Vol.47Issue(29)：42-45,4.DOI:10.3778/j.issn.1002-8331.2011.29.012
粗糙集不确定性度量的矩阵运算
Matrix computation for measuring uncertainty of rough sets
摘要
Abstract
As one of the most important issues in rough set theory,roughness and fuzziness of rough sets have been widely studied.An improved method is proposed for measuring the uncertainty of rough sets based on fuzzy theory and granular computing theory.A definition of relative knowledge granulation and a concept of boundary entropy for an information sys tem are given, under which the measure functions of roughness and fuzziness are modified. Both of roughness and fuzziness are monotonously decreasing with the refining of knowledge granularities in approximation spaces.Two matrix algorithms are presented for measuring the roughness and fuzziness of rough sets,which are easy to implement.关键词
粗糙集/不确定性/知识粒度/粗糙度/模糊度Key words
rough sets/uncertainty/knowledge granularities/roughness/fuzziness分类
信息技术与安全科学引用本文复制引用
解滨,米据生,张军鹏..粗糙集不确定性度量的矩阵运算[J].计算机工程与应用,2011,47(29):42-45,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60773174,No.60963006) （the National Natural Science Foundation of China under Grant No.60773174,No.60963006）
河北省自然科学基金(No.F2009000316). （No.F2009000316）
