Title :
Research and application of FCM clustering algorithm for i−v vague data
Author :
Ming, Huang ; Zhixun, Xia ; Qinghua, Zeng
Author_Institution :
Coll. of Aerosp. & Mater. Eng., Nat. Univ. of Defense Technol. Changsha, Changsha, China
Abstract :
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.
Keywords :
fuzzy set theory; pattern clustering; FCM clustering algorithm; Matlab; data reversion; fuzzy c-means; i-v vague data; material fatigue damage; mechanical properties degeneration data; state identification method; Clustering algorithms; Educational institutions; Instruments; Materials; Measurement; Mechanical factors; Prototypes; clustering prototype; fuzzy c-means clustering; i−v Vague data;
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
DOI :
10.1109/ICEMI.2011.6037966
