Attribute Reduction and Decision-making Model Based on Gray Dual-information

摘要：

This paper studies the attribute reduction and decision-making with gray dual-information taking into account of the attribute reduction of attribute decision is unknown because of the interval gray numbers.The attribute weights are obtained by considering the consistency of experts judgment matrixes and the decision matrixes with gray information, some experts attribute reduction ideas are proposed based on interval gray numbers of rough set.With the help of experts decision information, attribute uncertainty ratio and attribute value ratio are considered to reduce attribute.Finally, a numerical example shows its feasibility.

关键词： gray dual-information attribute reduction rough set

作者: ZHANG jie ZHU jian-jun

作者单位: 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: 593-598

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）