| A New Method of Selection and Reduction of System Feature in Pattern Recognition Based on Rough Sets |
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| 引用本文： | Huanglin Zeng Zengren Yuan Xiaohui Zeng. A New Method of Selection and Reduction of System Feature in Pattern Recognition Based on Rough Sets[J]. 通讯和计算机, 2006, 3(8): 25-28 |
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| 作者姓名： | Huanglin Zeng Zengren Yuan Xiaohui Zeng |
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| 作者单位： | [1]Sichuan University of Science and Engineering, Zigong 643000, China [2]Tsinghua University, Beijing 100084, China [3]Chengdu University of Information Technology, Chengdu 610225, China |
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| 摘 要： |
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A New Method of Selection and Reduction of System Feature in Pattern Recognition Based on Rough Sets |
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| Abstract: | A new method of selection and reduction of system feature in pattern recognition based on rough sets is proposed in this paper. Its basic idea is that the classification ability of system feature is evaluated with the classification affection introduced by removing some redundant feature or unimportant feature in the system and comparing the final classification result to find out useful feature in pattern recognition. Eventually, reduction and optimum combination of feature sets are performed by this method. An example of selection and reduction of system feature in pattern recognition based on rough sets shows the correctness and effectiveness of the method. |
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| Keywords: | Rough Sets Data Intelligent Processing Pattern Recognition |
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