Rough Set理论研究及其在水上交通事故分析的应用  

Research on Rough Set Theory and its Application in Analysising Maritime Accidengces

作　　者：梁第[1] 张铭丽[1] 

机构地区：[1]山东建筑大学,济南250101

出　　处：《科学技术与工程》2009年第13期3916-3919,共4页Science Technology and Engineering

摘　　要：水上交通事故系统中数据多维、稀疏、不全,有效地识别和发现事故数据的新模式及其内在规律能够预防和减少水上交通事故的发生。从数据挖掘的角度出发,应用了基于属性频度的约简算法和改进的值约简算法的结合对(2000～2004)年水上发生的20起具有一定代表性的典型案例进行分析,并加入相关的支持度和置信度,以期为水上交通的管理提供决策支持。The data system in maritime accidences is multi-dimensional, sparse,incomplete. Maritime accidences is will prevented and reduced if it can be recognite and find effectively a new mode and the inherent law. 20 typical maritime accidences are analyses which occurred from 2002 to 2004, using the algorithm of attribute reduction based on attribute frequency and the improved algorithm of value reduction. And rule-support and confidence are used at the same time. They provide the decision support in order to manage marine traffic.

关 键 词：水上交通事故 数据挖掘 ROUGH SET理论 属性约简 属性值约简 

分 类 号：U698.6[交通运输工程—港口、海岸及近海工程]