基于灰粗集属性知识简约算法的海运规则发现

海运市场运营规则能够帮助海运企业找到盈利增长点,针对海运市场营运规则难于被发现的问题,将灰色系统理论和粗糙集理论进行融合,针对知识约简中分辨函数范式转化过程中的逻辑推演难题,提出了一种基于灰色粗集融合属性的改进约简算法,选取2007年、2010年、2013年、2015年典型年份作为样本年份,应用灰色系统、粗糙集和基于灰粗集知识约简算法分别进行海运市场盈运规则发现实证分析,通过比较证明了该算法的时效性,同时发掘出了当前海运市场的船型、货品、航线、运价、运力间的营运管理规则。

The Discovery of Shipping Operational Rules Based on Grey Rough Set Attributes Knowledge Reduction Algorithms

T herules of maritime market operation can help shipping corporationfind the new profit grow th point .To find the rules of maritime enterprise profitability ,the paper fuse the gray system theory and rough set theory ,aiming at the problem of resolution function logical inference ,resolution function and attribute reduction resolution function in the fusion model is improved and proposes relative‐importance‐based‐on gray rough reduction algorithm .By mining the data in the shipping market in 2007 , 2010 ,2013 and 2015 , the rules of maritime enterprise profitability between ship type , goods , route , freight rate ,and transport capacity has been found out ,in order to provide a useful reference for the shipping corporation .At the same time ,this paper verifies the accuracy and usefulness of the improved algorithm through the example .