Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of different objects, applying the same suppressed parameter for modifying membership degrees of all the o...Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of different objects, applying the same suppressed parameter for modifying membership degrees of all the objects, a novel partition region-based suppressed fuzzy C-means clustering algorithm with better capacity of adaptability and robustness is proposed in this paper. The model based on the real needs of different objects is built, making it clear to decide whether to proceed with further determination; in addition, the external user-defined suppressed parameter is automatically selected according to the intrinsic structural characteristic of each dataset, making the proposed method become robust to the fluctuations in the incoming dataset and initial conditions. Experimental results show that the proposed method is more robust than its counterparts and overcomes the weakness of the original suppressed clustering algorithm in most cases.展开更多
This is a further development work on grouping of printed circuit boards(PCBs)for Surface Mount Assembly in the electronic industry.The arrangement of PCBs among several surface mount machine lines is a typical kind o...This is a further development work on grouping of printed circuit boards(PCBs)for Surface Mount Assembly in the electronic industry.The arrangement of PCBs among several surface mount machine lines is a typical kind of group technology(GT)problem.From literatures,there are various clustering techniques developed to solve the clustering problems.In this paper,fuzzy c-means clustering(FCM)is used to solve the PCBs grouping problem.Applying them in a real problem compares the results of the two methods.The result shows that there should be a systematic method to arrange the scheduling of PCB assemblies in electronic industry to improve the operations planning process.展开更多
基金supported by the National Natural Science Foundation of China(61401363)the Science and Technology on Avionics Integration Laboratory and Aeronautical Science Foundation(20155153034)+1 种基金the Fundamental Research Funds for the Central Universities(3102016AXXX0053102015BJJGZ009)
文摘Aimed at the problem that the traditional suppressed fuzzy C-means clustering algorithms ignore the real needs of different objects, applying the same suppressed parameter for modifying membership degrees of all the objects, a novel partition region-based suppressed fuzzy C-means clustering algorithm with better capacity of adaptability and robustness is proposed in this paper. The model based on the real needs of different objects is built, making it clear to decide whether to proceed with further determination; in addition, the external user-defined suppressed parameter is automatically selected according to the intrinsic structural characteristic of each dataset, making the proposed method become robust to the fluctuations in the incoming dataset and initial conditions. Experimental results show that the proposed method is more robust than its counterparts and overcomes the weakness of the original suppressed clustering algorithm in most cases.
文摘This is a further development work on grouping of printed circuit boards(PCBs)for Surface Mount Assembly in the electronic industry.The arrangement of PCBs among several surface mount machine lines is a typical kind of group technology(GT)problem.From literatures,there are various clustering techniques developed to solve the clustering problems.In this paper,fuzzy c-means clustering(FCM)is used to solve the PCBs grouping problem.Applying them in a real problem compares the results of the two methods.The result shows that there should be a systematic method to arrange the scheduling of PCB assemblies in electronic industry to improve the operations planning process.
