Attitude-and cost-driven consistency optimization model for decision-making with probabilistic linguistic preference relation
Probabilistic linguistic term set (PLTS) conveys the preference for a linguistic term by
assigning a probability distribution, which can more correctly and flexibly reflect the decision …
assigning a probability distribution, which can more correctly and flexibly reflect the decision …
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 …
Consistency and consensus improvement models driven by a personalized normalization method with probabilistic linguistic preference relations
Z Tian, R Nie, J Wang - Information Fusion, 2021 - Elsevier
Probabilistic linguistic preference relation (PLPR) provides an effective and flexible tool with
which preference degrees of decision-makers can be captured when they vacillatingly …
which preference degrees of decision-makers can be captured when they vacillatingly …
A novel probabilistic linguistic decision-making method with consistency improvement algorithm and DEA cross-efficiency
J Liu, Y Zheng, L Zhou, F Jin, H Chen - Engineering Applications of …, 2021 - Elsevier
Probabilistic linguistic term set (PLTS) is highly useful for decision-makers (DMs) to describe
qualitative and uncertain information in the decision-making process. This paper proposes a …
qualitative and uncertain information in the decision-making process. This paper proposes a …
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 …
Algorithm for improving additive consistency of linguistic preference relations with an integer optimization model
P Wu, J Liu, L Zhou, H Chen - Applied Soft Computing, 2020 - Elsevier
Linguistic preference relation (LPR) composed by linguistic terms can well express decision
makers'(DMs') qualitative preference opinion by comparing alternatives with each other. The …
makers'(DMs') qualitative preference opinion by comparing alternatives with each other. The …
An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level
In certain real decision-making situations, decision makers often feel more comfortable
providing their knowledge and preferences in linguistic terms. Unbalanced linguistic term …
providing their knowledge and preferences in linguistic terms. Unbalanced linguistic term …
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 …
A new multi-criteria decision model based on incomplete dual probabilistic linguistic preference relations
The use of dual probabilistic linguistic term sets (DPLTSs) to represent the use's preferences
in decision making can reflect the decision maker's cognitive certainty and uncertainty …
in decision making can reflect the decision maker's cognitive certainty and uncertainty …
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic …
Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …