基于粗糙集理论的特征空间类区域估计

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI:10.1109/KES.1997.619411

F. Taniguchi, Mineichi Kudo, M. Shimbo

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引用次数: 1

摘要

提出了一种查找类中确定区域和模糊区域的方法。这些区域由粗糙集理论中的较低近似定义。将许多分类器的输出组合起来，以便做出这样的较低近似值，并为它们提供类标签。作为该技术的应用，提出了一种具有少量错误分类的分类器。

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Estimation of class regions in feature space using rough set theory

A technique to find sure and ambiguous regions in a class is proposed. These regions are defined by lower approximations in rough set theory. Outputs of many classifiers are combined in order to make such lower approximations and to give class labels to them. As an application of this technique, a classifier with a few misclassifications is proposed.

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来源期刊

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97

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