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粗糙集不确定性度量的矩阵运算
引用本文: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.
作者姓名:解滨  米据生  张军鹏
作者单位:1.河北师范大学 数学与信息科学学院,石家庄 050016 2.河北师范大学 信息技术学院,石家庄 050016
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); 河北省自然科学基金(No.F2009000316)
摘    要:粗糙集的不确定性度量是粗糙集理论的重要研究内容之一。结合模糊理论和粒计算理论改进了粗糙集的不确定性度量方法。通过集合的相对知识粒度及边界熵给出了粗糙集的粗糙性度量函数与模糊性度量函数,随着近似空间知识粒的细分,粗糙集的粗糙度与模糊度均满足单调递减的性质。利用矩阵理论提出了易于实现的粗糙性度量与模糊性度量的矩阵算法。

关 键 词:粗糙集  不确定性  知识粒度  粗糙度  模糊度  
修稿时间: 

Matrix computation for measuring uncertainty of rough sets
XIE Bin,MI Jusheng,ZHANG Junpeng.Matrix computation for measuring uncertainty of rough sets[J].Computer Engineering and Applications,2011,47(29):42-45.
Authors:XIE Bin  MI Jusheng  ZHANG Junpeng
Affiliation:1.College of Mathematics and Information Science,Hebei Normal University,Shijiazhuang 050016,China2.College of Information Technology,Hebei Normal University,Shijiazhuang 050016,China
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 system are given,under which the measure functions of roughness and fuzziness are modified.Both of roughness and fuzziness are monotonously decreasing with the refini...
Keywords:rough sets  uncertainty  knowledge granularities  roughness  fuzziness
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