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題 名 | OWA Based PCA Information Fusion Method for Classification Problem |
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作 者 | Liu, Jing-wei; Cheng, Ching-hsue; Chen, Yen-hsun; Huang, Sue-fen; | 書刊名 | International Journal of Information and Management Sciences |
卷 期 | 21:2 2010.06[民99.06] |
頁 次 | 頁209-225 |
分類號 | 494.542 |
關鍵詞 | PCA; OWA Operator; FCM; Clustering; Classification; |
語 文 | 英文(English) |
英文摘要 | Abstract Information plays an important role in modern enterprises, no matter in decision supporting and business strategies making all provide efficient supports to executive managers. However, information is getting more and more today, how to handle high dimensions and high complexities data are more difficult than before. This contribution presents a information fusion method based on the concepts of Ordered Weighted Averaging (OWA) operator and Principal Components Analysis (PCA) method to deal with above problems. The proposed method can be described briefly as follows: (1) Reduce data dimensions by PCA method. (2) Calculate integrated values by order OWA operator. (3) Cluster data instances into specific group and train classification accuracies to obtain the best situation parameter . (4) Validate classification accuracies from testing data. This contribution employs five datasets to verify the performances of proposed method and the results of the experiments show that the proposed method actually surpasses the listing methods in classification accuracies. |
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