Dominance Measuring-based Approach for Multi-attribute Decision Making with Imprecise Weights

摘要

This work concerned with multi-attribute decision making problems with imprecise weights. A new dominance measuring-based method is proposed and compared with some existing methods. A series of simulations are conceived to study the performance of these methods in selecting the best alternative with different forms of imprecise weights. Results show that the new method performs better than the classical decision rules and other dominance measuring methods in terms of identifying the best alternative with ordinal weights. As to interval information, the new method also has a better performance.