Multi-granularity probabilistic linguistic Z-number (PLZN) is an effective and flexible tool for
expressing expert opinions. For group decision-making (GDM) problems with multi …

Probabilistic linguistic Z number (PLZN) is considered as an effective information
representation model. It not only describes the decision-making information, but also …

Z-numbers have been a research hotspot because of the significant advantages in revealing
the uncertainty and randomness of information. However, the computation of existing …

The proposed q-rung orthopair fuzzy set (q-ROFS) and picture fuzzy set (PIFS) are two
powerful tools for depicting fuzziness and uncertainty. This paper proposes a new tool …

This paper proposes a novel consensus reaching model for multi-attribute group decision
making (MAGDM) with information represented by means of linguistic distribution …

This article proposes a new multiattribute group decision-making (MAGDM) method with
probabilistic linguistic information that considers the following three aspects: an allocation of …

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 …

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

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 …

Z-number that proposed by Zadeh is an effective tool to describe the information with
uncertainty in decision-making problems. However, most of the researches on Z-numbers …