Single-objective Group Decision Making Based on Complete Hesitant Fuzzy Linguistic Term Sets with Granularity Levels

After dealing with attribute dependence and attribute reduction, this chapter will focus on how to construct a single-objective group decision-making method based on complete G-HFLTSs, so as to adapt to different types of group decision-making situations and obtain efficient and accurate group decision-making results. Firstly, based on the G-HFLPRs proposed in Chap. 2, a fuzzy c-means clustering algorithm is presented, taking the minimum sum of weighted distances between all samples and cluster centers as the objective function. Finally, the case of assessing the psychological status of COVID-19 patients and their families demonstrates the feasibility of this method, and the effectiveness and superiority of this method are verified through comparative studies and simulation experiments.