This paper investigates decision making with normalized probabilistic linguistic preference
relations (NPLPRs). Consistency analysis is indispensable for deriving the reasonable …

Probabilistic linguistic variable is a kind of powerful qualitative fuzzy sets, which permits the
decision makers (DMs) to apply several linguistic variables with probabilities to denote a …

This article focuses on a group decision‐making (GDM) approach based on the
multiplicative consistency of linguistic preference relation (LPR) with experts' self …

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 …

A key step in group decision making (GDM) with linguistic preference relations (LPRs) is to
derive the priority weight vector of the alternatives. However, the lack of consistency in GDM …

This paper proposes an optimal consensus model to derive weights for linguistic preference
relations (LPRs). Two indexes, an individual‐to‐group consensus index (ICI) and a …

The aim of the paper is to solve the group decision making problems which contain
inconsistent probabilistic linguistic preference relations (PLPRs) and unknown expert …

Linguistic preference relation (LPR) composed by linguistic terms can well express decision
makers'(DMs') qualitative preference opinion by comparing alternatives with each other. The …

This paper proposes a new group decision making (GDM) method based on the consistency
and the consensus analysis of dual multiplicative linguistic preference relations (DMLPRs) …

Probabilistic linguistic preference relation (PLPR) is an effective tool for decision-makers
(DMs) to express their preferences in the decision-making process. However, the …