Particle swarm classifier for fuzzy data sets

Hadi Shahraki, S. Zahiri
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引用次数: 6

Abstract

In this paper a particle swarm classifier is proposed to classify fuzzy data sets. This classifier is able to find the decision hyperplanes between different classes with fuzzy samples. The performance of the proposed classifier has been tested on various fuzzy data sets. The experimental results show that our proposed classifier is able to classify fuzzy data sets as other common uncertain data classifiers. Also the results obtained from classifying some crisp data sets show the powerfulness of our proposed classifier for crisp data sets is same as the traditional particle swarm classifier.
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模糊数据集的粒子群分类器
提出了一种用于模糊数据集分类的粒子群分类器。该分类器能够找到带有模糊样本的不同类别之间的决策超平面。所提出的分类器的性能已经在各种模糊数据集上进行了测试。实验结果表明,本文提出的分类器能够像其他常用的不确定数据分类器一样对模糊数据集进行分类。对一些脆皮数据集的分类结果表明,本文提出的分类器对脆皮数据集的分类能力与传统的粒子群分类器相当。
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