This paper proposes a method to solve the group decision making (GDM) problems with
multi-granularity linguistic assessment information. In the method, the multi-granularity …

In some complex group decision making cases, the opinions of decision makers (DMs)
present random characteristic. However, it is difficult to determine the range of opinions by …

In real-life decision making problems, reliability of information is one of the most concerning
factors. Accordingly, to avoid the involvement of inconsistent information in a multi-attribute …

This study aims to develop an integrated approach for solving probabilistic linguistic multi-
criteria decision-making (MCDM) problems. This study first reveals the limitations in the …

Due to the urgent nature of emergency decision making, it is necessary to reach the
consensus requirement quickly. Ordinal consensus measure explores the relation between …

As the evolution of emergencies is often uncertain, it may lead to multiple emergency
scenarios. According to the characteristics of emergency management, this paper proposes …

This paper investigates the impacts of personalized individual semantics (PIS) on
consistency and consensus in Best–Worst method (BWM) with heterogeneous linguistic …

Consensus analysis is necessary for large-scale group decision making (LSGDM) for
ensuring reasonable decision results. This paper offers a new method for LSGDM with …

In group decision making (GDM), consensus level is regarded as a critical criterion to
measure the effectiveness and availability of the final group decision solution. Consensus …

Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has
been developed and widely applied to various group decision-making (GDM) contexts …