Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis

The development of distribution linguistic provides a new research idea for information group decision-making (GDM) problems, which is more flexible and convenient experts to express their opinions. However, in the process using fuzzy preference relations (DLFPRs) solve GDM there are few studies that pay attention both internal consistency adjustment external consensus experts. Therefore, this study proposes fresh decision support model based on algorithm problems with data. Firstly, we review concept DLFPRs describe evaluation information, then present multiplicative measurement method distance, investigate ameliorate level DLFPRs. Subsequently, degree carried out, calculation put forward. At same time, taken expert cost into account make it reach predetermined level. Finally, making (DLFGDM) designed integrate elements obtain final information. A case China’s state-owned enterprise equity incentive provided, validity superiority proposed performed by comparative analysis.