Simplified probabilistic linguistic preference relation in decision making
Probabilistic linguistic preference relation (PLPR), whose elements are denoted in
probabilistic linguistic term sets, provides a flexible tool for experts to express linguistic …
probabilistic linguistic term sets, provides a flexible tool for experts to express linguistic …
An optimisation-based method to conduct consistency and consensus in group decision making under probabilistic uncertain linguistic preference relations
Y Song, G Li, D Ergu, N Liu - Journal of the Operational Research …, 2022 - Taylor & Francis
The use of probabilistic uncertain linguistic preference relations (PULPRs) enriches the
flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …
flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …
A group consensus model with prospect theory under probabilistic linguistic term sets
The challenges encountered in the realm of multi-attribute group decision-making (MAGDM)
involving probabilistic linguistic term sets (PLTSs) have garnered substantial attention …
involving probabilistic linguistic term sets (PLTSs) have garnered substantial attention …
Linguistic distribution and priority-based approximation to linguistic preference relations with flexible linguistic expressions in decision making
In this article, we propose the concept of flexible linguistic preference relations (FLPRs), in
which the flexible linguistic expressions, a more flexible way to form linguistic expressions …
which the flexible linguistic expressions, a more flexible way to form linguistic expressions …
Additive consistency exploration of linguistic preference relations with self-confidence
Preference relation is one of the most effective tools for decision makers (experts) to express
their evaluation information in decision making. Recently, a new type of preference relation …
their evaluation information in decision making. Recently, a new type of preference relation …
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
In linguistic decision-making problems, there may be cases when decision makers will not
be able to provide complete linguistic preference relations. However, when estimating …
be able to provide complete linguistic preference relations. However, when estimating …
Probabilistic linguistic preference relation-based decision framework for multi-attribute group decision making
R Krishankumar, KS Ravichandran, MI Ahmed, S Kar… - Symmetry, 2018 - mdpi.com
With trending competition in decision-making process, linguistic decision-making is gaining
attractive attention. Previous studies on linguistic decision-making have neglected the …
attractive attention. Previous studies on linguistic decision-making have neglected the …
A group decision making with probability linguistic preference relations based on nonlinear optimization model and fuzzy cooperative games
P Liang, J Hu, B Li, Y Liu, X Chen - Fuzzy Optimization and Decision …, 2020 - Springer
The aim of the paper is to solve the group decision making problems which contain
inconsistent probabilistic linguistic preference relations (PLPRs) and unknown expert …
inconsistent probabilistic linguistic preference relations (PLPRs) and unknown expert …
A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …
consensus. Particularly, when computing with words and linguistic decision, we must keep …
Multi-stage consistency optimization algorithm for decision making with incomplete probabilistic linguistic preference relation
Incomplete probabilistic linguistic term sets (InPLTSs) can effectively describe the qualitative
pairwise judgment information in uncertain decision-making problems, making them suitable …
pairwise judgment information in uncertain decision-making problems, making them suitable …