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

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

Fuzzy linguistic preference relations (FLPRs) are an efficient way to express qualitative
judgments of decision makers (DMs). This paper proposes a new group decision making …

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) …

In some cases, decision makers (DMs) need to use multiplicative linguistic terms to express
evaluations, and probabilistic linguistic preference relation (PLPR) cannot meet the needs of …

To denote the uncertainty and fuzziness of the decision makers' qualitative judgments,
uncertain multiplicative linguistic fuzzy preference relations (UMLFPRs) are proposed. This …

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

In practical group decision making (GDM) problems, decision maker (DM) may have to
tackle with incomplete information and uncertain linguistic preference relation (ULPR) …

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