Abstract
Strategy prioritisation with multiple criteria decision analysis is well accepted. When group decision making is concerned however, the process to aggregate each of the experts' decisions into the group decision is complicated and challenging. The traditional geometric mean method is very common for group decision but it might ignore variations among the experts' decisions. This paper proposed an aggregation algorithm for group decision to be used for strategy prioritisation which considered the following features: 1) agreement among the individuals' decisions; 2) influence of persons who had greater preferential difference; 3) the ranks of alternatives by each expert; 4) the group decision be closest to the best alternative but farthest from the worst one. Simulated situations, sensitivity analysis, and a case study for the sugar industry in Thailand were provided as numerical examples along with discussions of results. The proposed method can be applied for strategy prioritisation as well as other kinds of ranking problems.
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