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An Attribute Reduction of Rough Set Based on PSO

机译：基于PSO的粗糙集属性约简。

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摘要

The basic concept of attribute reduction in Rough Sets Theory (RST) and the idea of Particle Swarm Optimization(PSO) are briefly combined. A new reduction algorithm based on PSO is developed. Furthermore, the thought of Cache is introduced into the proposed method, which reduces the algorithm complexity effectively, The experimental results demonstrate that the algorithm is simple and viable.
机译：简要结合了粗糙集理论（RST）中属性约简的基本概念和粒子群优化（PSO）的思想。提出了一种新的基于PSO的约简算法。此外，将Cache思想引入了所提出的方法，有效降低了算法的复杂度，实验结果表明该算法简单可行。

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  • 来源
    《Rough sets and knowledge technology》|2010年|p.695-702|共8页
  • 会议地点 Beijing(CN);Beijing(CN)
  • 作者

    Hongyuan Shen; Shuren Yang; Jianxun Liu;

  • 作者单位

    Key laboratory of knowledge processing and networked manufacturing, college of hunan province, Xiangtan, 411201, China,Institute of Information and Electrical Engineering, Hunan University of Science and technology, Xiangtan, 411201, China;

    Key laboratory of knowledge processing and networked manufacturing, college of hunan province, Xiangtan, 411201, China,Institute of Information and Electrical Engineering, Hunan University of Science and technology, Xiangtan, 411201, China;

    Key laboratory of knowledge processing and networked manufacturing, college of hunan province, Xiangtan, 411201, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 程序设计、软件工程;
  • 关键词

    rough set theory; reduction of attribute; particle swarm optimization; information system;

    机译：粗糙集理论；属性的减少；粒子群优化；信息系统;

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