基于粗糙集理论的特征选择与动态生成不相交聚类的分散系统

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2017-07-01 DOI:10.1109/INISTA.2017.8001161

Małgorzata Przybyła-Kasperek

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引用次数: 2

摘要

本文研究了一种具有动态生成的不相交聚类的分散决策系统的属性选择方法。所使用的系统已在作者的早期研究中提出。本文的目的是将基于粗糙集理论的属性选择方法应用到该系统中。另一个目的是比较使用和不使用属性选择方法获得的结果。

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Feature selection based on the rough set theory and dispersed system with dynamically generated disjoint clusters

In this paper, a method for attribute selection is used in a dispersed decision-making system with dynamically generated disjoint clusters. The system that is used has been proposed in the earlier studies of the author. The aim of the paper is to apply in this system, the method of attribute selection that is based on the rough set theory. Another objective is to compare the results obtained with and without the use of attribute selection method.

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来源期刊

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

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