A decision-making method based on cloud model is proposed to solve the multi-criteria group decision-making
problems, in which the criteria weights are given, decision-makers’ weights are unknown and the criteria values are uncertain
linguistic. Firstly, by converting uncertain linguistic values into interval integrated cloud, the preference aggregation is got
by means of floating cloud. Then the decision-makers’ weight is gotten by calculating the “uncertainty” and the “deviation
degrees of decision-makers”, and the closeness degree is obtained by introducing the Hamming distance. And the ranking of
alternatives is listed by comparing the closeness degree obtained by introduced the Hamming distance. Finally, an illustrative
example analysis shows the effectiveness and feasibility of this approach.