Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic …

X Tang, Z Peng, Q Zhang, W Pedrycz, S Yang - Knowledge-Based Systems, 2020 - Elsevier
Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …

Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making

J Xiao, X Wang, H Zhang - Information Fusion, 2020 - Elsevier
A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

Derivation of personalized numerical scales from distribution linguistic preference relations: an expected consistency-based goal programming approach

X Tang, Q Zhang, Z Peng, S Yang… - Neural Computing and …, 2019 - Springer
Due to the promising performance of distribution linguistic preference relations (DLPRs) in
eliciting the comparison information coming from decision makers (DMs), linguistic decision …

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 …

Modeling personalized individual semantics and consensus in comparative linguistic expression preference relations with self-confidence: An optimization-based …

H Zhang, CC Li, Y Liu, Y Dong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
Comparative linguistic expression preference relations (CLEPRs) are an effective tool to
represent uncertain opinions of decision makers in group decision making (GDM) …

Managing ignorance elements and personalized individual semantics under incomplete linguistic distribution context in group decision making

CC Li, Y Gao, Y Dong - Group Decision and Negotiation, 2021 - Springer
Linguistic distribution expressions provide a flexible way for decision makers to express their
opinions in linguistic decision making. When working with a linguistic distribution, words …

A consensus model of probabilistic linguistic preference relations in group decision making based on feedback mechanism

A Liu, H Qiu, H Lu, X Guo - IEEE Access, 2019 - ieeexplore.ieee.org
Owing to the important role in group decision making (GDM), the consensus research has
received extensive attention from both theoretical and applied perspectives in recent years …

Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making

Z Zhang, Z Li - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

Managing multi-granular probabilistic linguistic information in large-scale group decision making: A personalized individual semantics-based consensus model

Y Liu, Y Yang, L Sun, A Huang - Expert Systems with Applications, 2023 - Elsevier
The multi-granular probabilistic linguistic modeling allows decision makers to express
cognitive information using multiple linguistic term sets based on their preferences …

Consistency and trust relationship-driven social network group decision-making method with probabilistic linguistic information

F Jin, M Cao, J Liu, L Martínez, H Chen - Applied Soft Computing, 2021 - Elsevier
Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …