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

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.