… linguistic preference relations (PLPRs) and applies to the selection of COVID-19 surveillance
plans. Firstly, considering that a linguistic term … between probabilistic linguistic term sets (…

… Distribution linguistic preference relations (DLPRs) that model linguistic … linguistic terms
provide an effective tool to accurately elicit the preferences of decision makers (DMs) in linguistic …

… First, according to DMs’ psychological preferences (optimistic, pessimistic, and … linguistic
terms in PULPRs, which may be transformed into probabilistic linguistic preference relations. …

… , the incomplete probabilistic linguistic term sets (InPLTSs) … of incomplete probabilistic linguistic
preference relation (In-… tain complete probabilistic linguistic preference relations (CPLPRs…

… , linguistic preference relations … linguistic preference relation, InPLPRs also need to be
tested for consistency. First, we review the transitive properties of linguistic preference relations. …

… Therefore, preference relation becomes one of the popular and effective tools. … by a preference
relation, this article defines the concept of double hierarchy linguistic preference relation (…

… As we all know, consistency plays a critical role in GDM with preference relations, which
indicates that decision makers are non-random and logical when they express their preference …

… preference relations and qualitative preference relations, where quantitative preference relations
… In this section, we briefly review the definitions of linguistic term sets (LTSs) and FLPRs. …

… ’ linguistic information. Thus, in this paper, we solve the two-sided matching problem with
preference relations and expected time under the probabilistic linguistic term environment. …

… Firstly, we can transform the second hierarchy linguistic term into the first hierarchy linguistic
term… 1, it is obvious that any two adjacent first hierarchy linguistic terms have a common part. …