A Method for Weight Assignment By Dominance-Based Rough Sets Approach

摘要：

In many real problems, it does not consider the ranking characteristic of criteria to make multi-criteria decision with classical rough sets theory. By Dominance-based Rough Sets Approach (DRSA), this paper develops methods for weight assignment respectively under two settings, with decision sorting classes and without decision sorting classes. Compared to present methods, the advantage of our methods is that: from descriptive set of the given problem, extracts the inherent rules implied by alternatives dominance relations with respect to each attribute, and avoids excessively depending on experts experience; realizes completely data driving. Finally an example illustrates our methods are effective and reasonable.

关键词： Dominance-based rough set Multi-attribute decision-making Weight Unsupervised learning

作者: Zhang Rong Liu Sifeng Liu Bin

作者单位: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210 College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 6060-6065

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）