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Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis

机译:使用接收器工作特征(ROC)分析加权模糊分类规则

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In fuzzy rule-based classification systems, rule weight has often been used to improve the classification accuracy. In past research, a number of heuristic methods for rule weight specification have been proposed. In this paper, a method of fuzzy rule weight specification using Receiver Operating Characteristic (ROC) analysis is proposed. In order to specify the weight of a fuzzy rule, using 2-class ROC analysis, the threshold that the rule achieves its maximum accuracy is found. This threshold is used as the weight of the rule. The proposed method is compared with existing ones through computer simulations on some well-known classification problems with continuous attributes. Simulation results show that the proposed method performs better than existing methods of fuzzy rule weight specification. (c) 2007 Elsevier Inc. All rights reserved.
机译:在基于模糊规则的分类系统中,经常使用规则权重来提高分类准确性。在过去的研究中,已经提出了许多用于规则权重指定的启发式方法。提出了一种基于接收者操作特征(ROC)分析的模糊规则权重确定方法。为了指定模糊规则的权重,使用2类ROC分析,找到规则达到其最大精度的阈值。此阈值用作规则的权重。通过计算机仿真,对一些已知的具有连续属性的分类问题,将该方法与现有方法进行了比较。仿真结果表明,该方法的性能优于现有的模糊规则权重指定方法。 (c)2007 Elsevier Inc.保留所有权利。

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