利用遗传算法变换连续属性，将粗糙集理论应用于控制中心

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI:10.1109/ISAP.2011.6082230

M. A. Carvalho, C. H. V. Moraes, G. Lambert-Torres, L. E. B. D. Silva, A. R. Aoki, A. Vivaldi

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引用次数: 5

摘要

粗糙集理论(RST)的一个可能应用是数据库中的知识提取。此外，RST对开发决策模型也很有用。在这两个过程中，其中一个步骤是将具有连续值的属性转换为数字值。这种转换有时会丢失信息。本文提出了一种利用遗传算法(GA)实现这种转换的方法。使用遗传算法确定每个属性的截止点，得到一致的转换。介绍了该方法在控制中心的实际应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Transforming continuous attributes using GA for applications of Rough Set Theory to control centers

One of the possible application of Rough Sets Theory (RST) is the knowledge extraction in databases. Also, RST is useful to develop models for decision-making. During both processes one of the steps is the transformation of attributes with continuous values in digital values. This transformation sometimes can lose information. This paper presents a method for this transformation using genetic algorithms (GA). GA is used to determine the cut-off points for each attribute, getting a consistent transformation. An application in Control Centers with real data is presented.

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2011 16th International Conference on Intelligent System Applications to Power Systems

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