The linguistic preference relation (LPR) is introduced to efficiently deal with situations in
which the decision makers (DMs) provide their preference information by using linguistic …

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 …

The use of incomplete probabilistic linguistic term sets (InPLTSs) can enrich the flexibility of
qualitative decision-making information expression, especially in decision-making situations …

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 …

The use of probabilistic uncertain linguistic preference relations (PULPRs) enriches the
flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …

Intelligent decision-making collaborates with big data analytics to navigate the intricate
landscape of the digital economy, orchestrating data-driven strategies to achieve the most …

For multi-attribute group decision-making (MAGDM) problems, this paper proposes a three-
way consensus model based on regret theory (RT) under the framework of probabilistic …

Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

The quality function deployment (QFD) is an effective tool to translate the customer
requirements (CRs) to the design requirements (DRs) of a product. The process of selecting …

The probabilistic linguistic term set (PLTS), which allows people to give their qualitative
preferences in linguistic terms with corresponding probabilities, is a powerful form to express …