Genetic Algorithm for ζ of Degree of Grey Incidence Based on Maximizing Deviations

摘要：

The grey incidence model occupies an important position in grey system theory.This paper studies the method about determining the discrimination coefficient C, of Prof Dengs degree of grey incidence based on maximizing deviations.Additionally, the genetic algorithm is employed to solve the discrimination coefficient ?,.The comparison of results of the two methods shows the effectiveness of the maximizing deviations method for determining the discrimination coefficient C.

关键词： grey incidence analysis degree of grey incidence genetic algorithm maximizing deviations

作者: MENG Wei LI Jian LIU Si-feng ZENG Bo

作者单位: ECSCS Key Lab of Chongqing Chongqing Technology and Business University Chongqing,China College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 149-152

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）