The Evaluation on Development Quality of Open Education Based on Dempster-Shafer With Multigranularity Unbalanced Hesitant Fuzzy Linguistic Information for Chinese Case

Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) profound method representing and aggregating uncertain information. In order to combine the advantages from both, a new MAGDM approach based on with MGUHFLTSs proposed. The initial decision matrix transformed matrix, novel weight determination model problem established this approach. additional, MGUHFLTSs, combination algorithm proposed by means DSET rules, reduces loss information for. An example about evaluation development quality open education. Finally, paper proves validity superiority method.