Abstract
In a group decision method on ranking of a large number of alternatives, multiple alternatives are re-grouped into subgroups, and each alternative in every subgroup are evaluated based on information of each alternative to generate a ranking number for each alternative in every subgroup. Then, a normalized score for each alternative in every subgroup are determined to generate an average normalized score for each alternative, so as to increase the accuracy of ranking results of alternatives in a large scale competition.