Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

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 …

Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making

CC Li, Y Dong, H Liang, W Pedrycz, F Herrera - Omega, 2022 - Elsevier
In parallel with the development of information and network technology, large amounts of
data are being generated by the Internet, and data-driven methodologies are now often …

Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making

Y Liu, L Zhu, RM Rodríguez, L Martínez - Information Fusion, 2023 - Elsevier
The proportional hesitant fuzzy linguistic term set (PHFLTS) has been effectively employed
in analyzing the group's hesitancy in linguistic group decision making (LGDM). The …

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 …

A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression

S Fan, H Liang, Y Dong, W Pedrycz - Expert Systems with Applications, 2022 - Elsevier
Multi-attribute group decision making (MAGDM) model which uncovers the preferences of
individuals has become increasingly important in enhancing the efficiency of expert systems …

Consensus reaching process with noncooperative behaviors in large-scale group social network environment

X You, F Hou, F Chiclana - Applied Soft Computing, 2023 - Elsevier
Large-scale group decision-making (LSGDM) problems have drawn general attention from
scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool …

Canonical triangular interval type-2 fuzzy set linguistic distribution assessment TODIM approach: A case study of FMEA for electric vehicles DC charging piles

Y Tian, S Song, D Zhou, S Pang, C Wei - Expert Systems with Applications, 2023 - Elsevier
Linguistic distribution assessment (LDA) plays a prominent role in describing the subjective
uncertainties and objective distribution of decision-maker (DM) opinions. Although there …

Local minimum adjustment for the consensus model with distribution linguistic preference relations considering preference reliability

G Wu, W Zhang, Z Wu - Information Fusion, 2023 - Elsevier
Preference reliability analysis for preference relations reflected by the ordinal consistency
and the cardinal consistency was intensively studied. The ordinal consistency is a minimum …

Risk management of liquefied natural gas transportation routes: An interactive consensus reaching approach under personalized individual semantics

M Cao, T Gai, Y Xing, Y Liu, J Wu - Computers & Industrial Engineering, 2022 - Elsevier
As the proportion of natural gas in China's energy consumption increases, it has become an
important issue to assess the risk of liquefied natural gas (LNG) transportation routes. This …