Two Methods of Maximizing Deviations of Multi-attribute Decision Making
XU Ze · Industrial Engineering and Engineering Management · 2001
This paper investigates multi-attribute decision making with attribute wieght information partially known or completely unknown,and presents two methods of maximizing deviations. They can sufficiently utilize normalized evaluation information and derive weights of attributes objectively. The methods can also be performed on computer easily.