基于粗糙集的动态称重系统知识维护  

Knowledge Maintenance of Dynamic Weighing Systems Based on Rough Sets

作　　者：张瑜[1] 熊红云[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410075

出　　处：《计算机工程与科学》2008年第10期150-152,共3页Computer Engineering & Science

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要发展方向。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。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 intelligence, 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.

关 键 词：粗糙集 约简 动态称重 装载机 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]