頁籤選單縮合
題名 | Constructing a New Fuzzy Classifier Based on Hierarchical Fuzzy Entropy |
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作者姓名(外文) | Lin, Cheng-Jian; Lee, Chi-Yung; Hong, Shang-Jin; | 書刊名 | 中國工程學刊 |
卷期 | 30:5 2007.07[民96.07] |
頁次 | 頁931-936 |
分類號 | 312 |
關鍵詞 | Hierarchical fuzzy entropy; Fuzzy classifier; Classification; Iris and spiral; |
語文 | 英文(English) |
英文摘要 | In an earlier work, Lee et al. (Lee et al., 2001) presented a simple and fast fuzzy classifier that employed fuzzy entropy to evaluate pattern distribution information in a pattern space. In this paper, we extend his work to propose a new fuzzy classifier based on hierarchical fuzzy entropy (FC-HFE). We retained the main parts of the original structure and modified some methods (e.g., methods for deciding the number of intervals in each dimension and for assigning class labels). In addition, the hierarchical fuzzy entropy is proposed for partitioning the decision region. The proposed FC-HFE improves classification accuracy and overcomes some of the drawbacks in the Lee et al method (Lee et al., 2001). The simulation results show tat the classification rate of the proposed FC-HFE is better than earlier methods. |
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