Novel instant-runoff ranking fusion approaches

The ranking fusion (or aggregation), which is an important type of multiple attribute decision making (MADM), combines multiple rankings to a single one for decision making. In traditional ranking fusion, one branch of approaches accomplish the ranking fusion in one run, i.e., the ranking positions of the items concerned are determined simultaneously. Another branch of approaches are based on the instant-runoff strategy, where the ranking positions of items are determined one by one in multiple runs. In this paper, novel ranking fusion approaches are proposed by using the instant-runoff strategy and by using the local comparison information. Experimental results show that new proposed instant-runoff ranking fusion approachs can improve the performance of ranking fusion for decision making.