A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information
Fangwei Zhang, Shihe Xu, Baojie Wang, Zizhan Wu · Abstract and Applied Analysis · 2014
We propose a new method for the multiple attribute decision making problem. In this problem, the decision making information assembles multiple source data. Two main advantages of this proposed approach are that (i) it provides a data fusion technique, which can efficiently deal with the multisource decision making information; (ii) it can produce the degree of credibility of the entire decision making. The proposed method performs very well especially for the scenario that there exists conflict among the multiple source information. Finally, a traffic engineering example is given to illustrate the effect of our method.