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 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 …

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 …

Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making

Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …

A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle …

M Zhou, YQ Zheng, YW Chen, BY Cheng… - Information …, 2023 - Elsevier
Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

Evaluation of online learning platforms based on probabilistic linguistic term sets with self-confidence multiple attribute group decision making method

W Su, D Luo, C Zhang, S Zeng - Expert Systems with Applications, 2022 - Elsevier
Online education addresses the limitations of traditional classrooms in terms of time and
location. Moreover, online learning platforms provide learners with one-stop self-learning …

Global feedback mechanism by explicit and implicit power for group consensus in social network

S Wang, J Wu, F Chiclana, F Ji, H Fujita - Information Fusion, 2024 - Elsevier
This paper investigates a global feedback consensus model which determines the
importance of decision makers by combining explicit and implicit Power. Explicit power is …

Consistency improvement for fuzzy preference relations with self-confidence: An application in two-sided matching decision making

Z Zhang, X Kou, W Yu, Y Gao - Journal of the Operational …, 2021 - Taylor & Francis
The fuzzy preference relation with self-confidence (FPR-SC), whose elements are
composed of the degree to which an alternative is preferred to another and the self …

A joint feedback strategy for consensus in large-scale group decision making under social network

T Gai, M Cao, Q Cao, J Wu, G Yu, M Zhou - Computers & Industrial …, 2020 - Elsevier
Nowadays, large-scale group decision making (LSGDM) has become a hot topic and
brought new challenges for the decision makers. This article proposes a framework of joint …

A multi-stage hybrid consensus reaching model for multi-attribute large group decision-making: Integrating cardinal consensus and ordinal consensus

X Zhong, X Xu, X Yin - Computers & Industrial Engineering, 2021 - Elsevier
Based on the notion that cardinal consensus and ordinal consensus are of equal
importance, a novel consensus reaching model for multi-attribute large group decision …