Cross-efficiency aggregation method based on prospect consensus process

The arithmetic average method is usually adopted to aggregate cross-efficiency in traditional cross-efficiency methods. However, this method not only underestimates the importance of self-evaluation, but also ignores the subjective preference of decision-makers. This paper thus introduces prospect theory to describe the subjective preference of decision-makers in the aggregation process when they face gains and losses, then a new method is constructed to aggregate cross-efficiency. Based on the differences between the psychological expectations and aggregation results, the expectations are constantly adjusted until a consensus on aggregation results is reached. An aggregation result that is more acceptable to all decision-making units can then be obtained. Finally, the proposed method is applied to aggregate the cross-efficiency of 27 industrial robots to illustrate its effectiveness and convergence.