基于遗传算法的城市公交服务质量评价知识规则挖掘方法  

Knowledge Rule Mining Method for the Evaluation of Urban Public Transportation Service Quality Based on Genetic Algorithm

作　　者：严太山[1] 郭观七[1] 李文彬[1] 

机构地区：[1]湖南理工学院信息与通信工程学院,湖南岳阳414000

出　　处：《计算技术与自动化》2013年第2期96-99,共4页Computing Technology and Automation

基　　金：国家自然科学基金项目(60975049);湖南省自然科学基金项目(11JJ2037);湖南省教育厅科研基金项目(10C0757);湖南省高校科技创新团队支持计划资助项目(湘教通[2012]318号)

摘　　要：城市公共交通服务质量评价知识规则是城市公共交通企业进行服务质量评价的重要依据,优质、合理的评价知识规则将使服务质量评价更加公正、更加客观。本文在分析城市公共交通服务质量评价指标体系的基础上,将一种改进的遗传算法用于城市公共交通服务质量评价价的知识规则挖掘,提出一种基于遗传算法的城市公共交通服务质量评价知识规则挖掘方法,阐述算法的实现途径。实例表明,该方法在进行知识规则挖掘时是完全可行的、有效的。Evaluation of urban public transportation service quality depends on the knowledge rules to a large extent. In this study, the evaluation index system of urban public transportation service quality is established and the representation method of knowledge rule is analyzed firstly. Then, a knowledge rule mining method for the evaluation of urban public transportation service quality based on an improved genetic algorithm is proposed. In the algorithm, knowledge rules are e- valuated by their accuracy, coverage and reliability, and new knowledge rules are generated by selection operator, help oper- ator, crossover operator and mutation operator. Experimental results show that this knowledge rule mining method is feasi- ble and valid.

关 键 词：知识规则挖掘 城市公共交通 服务质量评价 遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]