粗糙集理论在编组站作业效率研究中的应用  

The Efficiency Research of Marshalling Station Based on Rough Set Theory

作　　者：王铁[1] 刘刚[1] 

机构地区：[1]西南交通大学交通运输与物流学院,四川成都610031

出　　处：《模糊系统与数学》2016年第6期156-162,共7页Fuzzy Systems and Mathematics

基　　金：中央高校基本科研业务费专项资金资助项目(2682013CX068)

摘　　要：编组站有列车工厂之称,其作业效率影响因素众多,然而在对编组站作业效率的分析研究中,并非用到的效率属性越多对其分析效果就越好,因为不同效率属性可能存在重复和冗余。本文针对编组站效率目前研究的局限性,基于粗糙集知识约简的理论,根据编组站效率评价问题的特点,给出了相应的决策信息系统,并运用正域约简的方法,用MATLAB与MuPAD实现了粗糙集理论在编组站作业效率评价研究中的应用,证明了方法的可行性和适用性。Marshalling station is well know as the train factory,many factors can influence its operating efficiency.However,according to the analysis of its operating efficiency,it is proved that it is not really much accurate by using more efficiency characters due to its duplication and redundancy.In this paper,I am using rough set theory to give the corresponding decision information system based on the reduction of information system theory for the characteristics of the efficiency＇s evaluation,and it is proved its feasibility and applicability by applying positive region reduction,MATLAB,and MuPAD.

关 键 词：编组站作业效率 粗糙集理论 正域约简 属性重要度 

分 类 号：O159[理学—数学]