• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (10): 150-152.

• 论文 • 上一篇    下一篇

基于粗糙集的动态称重系统知识维护

张瑜 熊红云   

  • 出版日期:2008-10-01 发布日期:2010-05-19

  • Online:2008-10-01 Published:2010-05-19

摘要:

粗糙集是一种新型的处理模糊和不确定知识的软计算方法。粗糙集理论处理数据不需要先验知识,可最大限度地减少主观因素的影响。目前,粗糙集已在人工智能、知识与数 据发现、模式识别与分类、故障检测等方面得到了广泛应用。研究粗糙集基本理论以及将其应用于知识发现有着非常重要的意义。动态称重是近年来装载机称重技术的主 发展方向。本文将粗糙集运用到知识利用中,给出了装载机动态称重系统的知识维护中基于粗糙集的处理方法和具体步骤。

关键词: 粗糙集 约简 动态称重 装载机

Abstract:

Rough set is a new mathematical tool to deal with imprecise, incomplete and inconsistent data, and me prior knowledge is not needed in processing data  based on the rough set theoty,which greatly reduces the effect of subiective factors. Now, rough set has been used in many areas such as artificial int  elligence, knowledge and data discovery, pattern recognition, fault detection, and so on. Therefore, studying the basic theory of rough set and applying  it to knowledge discovery have important significance. Dynamic weighing is the main development aspect of the loading machine weighing. In this article , rough set is used in knowledge utilization. The processing methods and specific steps based on rough sets in the knowledge maintenance of the loading  machine's dynamic weighing system are presented.

Key words: rough set, reduction, dynamic weighing, loading machine