Research and application of FCM clustering algorithm for i-v vague data

摘要：

A FCM clustering algorithm is proposed for i-v Vague data. By changing i-v Vague data into an interval middle value, the FCM toolbox in MATLAB can be utilized to achieve clustering directly, and the clustering prototype of i-v Vague data can be generated after data reversion. The feasibility of the method is validated through analyzing of mechanical properties degeneration data about some material caused by fatigue damage. Furthermore, the potential application of the method to state identification is also discussed.

关键词： i-v Vague data fuzzy c-means clustering clustering prototype

作者: Huang Ming Xia Zhixun Zeng Qinghua

作者单位: College of Aerospace and Material Engineering,National University of Defense Technology Changsha,Hun College of Aerospace and Material Engineering,National University of Defense Technology Changsha,Hun

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1246-1249

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）