Application of Fuzzy Rough Sets in Patterns Recognition of Bearing
A method of patterns recognition was presented based on fuzzy rough sets.Dynamic clustering algorithm and method of analysis of variance is introduced to fuzzify the continuous condition attribute,and fuzzy membership functions is derived,which avoided losing information caused by discretization in rough set theory.F test is introduced to judge the valid analysis of clustering,which has overcome the disadvantage of determining artificially the class number of clustering.The fuzzy decision table obtained by attribute fuzzified is used to attributes reduction,then values of attributes are reducted,and clear and concise pattern rules are obtained.The application showed that the proposed algorithm can effective improve the pattern recognition accuracy.
fuzzy-rough sets dynamic clustering anaiysis of variance attribute reduction patterns recognition
Hao Tian Xiao-Yong Kang Jun-Nuo Zhang Shan-Shan Han
Department of Guns Engineering Ordnance Engineering College Shijiazhuang, China Polytechnic College of Hebei University of Science and Technology Library Shijiazhuang, China
国际会议
成都
英文
730-733
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）