A Large Group Emergency Decision-Making Method Based on Uncertain Linguistic Cloud Similarity Method

In recent years, the consensus-reaching process of large group decision making has attracted much attention in research society, especially emergency environment area. However, information is always limited and inaccurate. The trust relationship among makers been proven to exert important impacts on consensus. this study, we proposed a novel uncertain linguistic cloud similarity method based update opinion interaction mechanism. Firstly, transformed preferences into clouds used divide large-scale several groups. Secondly, an improved PageRank algorithm was developed calculate weights makers. A combined weighting considering size also presented Thirdly, updating mechanism similarity, consensus level, cooperation willingness speed up process, constructed measure level Finally, numerical experiment effectively illustrated feasibility method. maximally retain randomness fuzziness during with fast convergent good practicality.