From numerical to heterogeneous linguistic best–worst method: Impacts of personalized individual semantics on consistency and consensus

H Zhang, X Wang, W Xu, Y Dong - Engineering Applications of Artificial …, 2023 - Elsevier
This paper investigates the impacts of personalized individual semantics (PIS) on
consistency and consensus in Best–Worst method (BWM) with heterogeneous linguistic …

Consistency improvement and local consensus adjustment for probabilistic linguistic preference relations considering personalized individual semantics

X Ma, J Zhu, G Kou, J Zhan - Information Sciences, 2024 - Elsevier
To address the challenge of facilitating overall problem solving and improving the overall
efficiency of intelligent systems efforts through group decision making (GDM) by experts at …

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) …

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 …

Consistency improvement under a personalized individual semantics context in distributed linguistic group decision making

Y Gao, Y Li, Z Hu, CC Li - Information Fusion, 2022 - Elsevier
Consistency measurement is a significant issue in linguistic decision making when
preferences are expressed via linguistic preference relations. However, the extant literatures …

Consistency improvement with a feedback recommendation in personalized linguistic group decision making

CC Li, H Liang, Y Dong, F Chiclana… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Consistency is an important issue in linguistic decision making with various consistency
measures and consistency improving methods available in the literature. However, existing …

Integrating continual personalized individual semantics learning in consensus reaching in linguistic group decision making

CC Li, Y Dong, W Pedrycz… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In computing with words, it has been stressed that words mean different things for different
people, which entails that decision makers (DMs) have personalized individual semantics …

Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics

CC Li, Y Dong, F Chiclana… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

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 …