Uncertain information fusion method based on proof theory and fuzzy distance
Jianliang Zhang · Computer Engineering and Applications Journal · 2011
For the problem of expert uncertainty view is hard to fuse in decision support system,this paper proposes a compromise based on evidence theory and fuzzy distance ideas to decision fusion.Apply fuzzy distance method to obtain the expert weight and property index relative weight.The uncertain problem of the subjective views of expert decision-making is studied.And then use DS evidence theory recognition framework to calculate the probability distribution function,sort and select all programs,to obtain the final decision fusion view.Examples show that the method is reasonable and efficient for integration of decision-making uncertain information.