| 基于约束函数的差别矩阵及其求核算法 |
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| 引用本文： | 周创德,田卫东.基于约束函数的差别矩阵及其求核算法[J].计算机工程,2008,34(15):60-62,6. |
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| 作者姓名： | 周创德 田卫东 |
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| 作者单位： | [1]山东大学信息科学与工程学院,济南250100 [2]山东建筑大学理学院,济南250101 |
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| 基金项目： | 山东省自然科学基金资助重点项目 |
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| 摘 要： | 针对Hu的求核方法在处理某些不一致性决策表时，所得的核属性是错误的问题，提出一种基于约束函数的差别矩阵的定义及求核方法，该方法纠正了Hu方法中由于差别矩阵定义的不完善而造成的核求解错误。理论证明了该求核方法的正确性，并给出了快速求核算法。实验表明，该求核方法时空性能优于叶东毅求核方法。
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| 关 键 词： | 粗糙集 差别矩阵 核属性 |
Discernibility Matrix Based on Constraint Function and Algorithm of Core-computation |
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| ZHOU Chuang-de,TIAN Wei-dong.Discernibility Matrix Based on Constraint Function and Algorithm of Core-computation[J].Computer Engineering,2008,34(15):60-62,6. |
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| Authors: | ZHOU Chuang-de TIAN Wei-dong |
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| Affiliation: | (1. School of Information Science and Engineering, Shandong University, Jinan 250100; 2. School of Science, Shandong Jianzhu University, Jinan 250101) |
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| Abstract: | In the field of tumor marker, detecting some markers together can improve the successful detection score. The cloud model has great advantages in interval definition of numerical attribute. By fuzzing the boundary of attribute and membership degree, the cloud model can express the real world well. This paper presents a combined markers detection discovery method to mine association and find out most valuable tumor markers in examination dataset. The experiments show 80% of the top 10 combined markers are fit for iatrical knowledge. |
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| Keywords: | face recognition feature extraction Weighted Maximum Margin Criterion(WMMC) |
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