Minimum information-loss transformations to support heterogeneous group decision making in a distributed linguistic context

Y Wu, Y Gao, B Zhang, W Pedrycz - Information Fusion, 2023 - Elsevier
In the problems that linguistic assessments are conducted by adopting multiple sources of
information representations, the management of unification of heterogeneous information …

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 …

A new distance-based consensus reaching model for multi-attribute group decision-making with linguistic distribution assessments

S Yao - International journal of computational intelligence …, 2018 - Springer
This paper proposes a novel consensus reaching model for multi-attribute group decision
making (MAGDM) with information represented by means of linguistic distribution …

Unbalanced probabilistic linguistic decision-making method for multi-attribute group decision-making problems with heterogeneous relationships and incomplete …

F Teng, P Liu, X Liang - Artificial Intelligence Review, 2021 - Springer
In group decision-making problems, decision makers prefer to use several linguistic terms to
describe their own perception and knowledge, and give their preference intensity of each …

A quantum framework for modeling interference effects in linguistic distribution multiple criteria group decision making

Q Wu, X Liu, L Zhou, Z Tao, J Qin - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In most existing linguistic distribution multiple criteria group decision-making (MCGDM)
models, the sample size of group linguistic distribution assessment (LDA) is often neglected …

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 …

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 …

Consistency and consensus measures for linguistic preference relations based on distribution assessments

G Zhang, Y Dong, Y Xu - Information Fusion, 2014 - Elsevier
In this paper, we propose the concept of distribution assessments in a linguistic term set, and
study the operational laws of linguistic distribution assessments. The weighted averaging …

The optimization-based aggregation and consensus with minimum-cost in group decision making under incomplete linguistic distribution context

B Zhang, H Liang, Y Gao, G Zhang - Knowledge-Based Systems, 2018 - Elsevier
In real decision making, due to the limitation of knowledge, problem complexity and time
pressure, it is natural that decision makers express their opinions with incomplete linguistic …

Deriving heterogeneous experts weights from incomplete linguistic preference relations based on uninorm consistency

D Cheng, Z Zhou, F Cheng, J Wang - Knowledge-Based Systems, 2018 - Elsevier
In this study, we provide an expertise-based weight allocation approach for heterogeneous
experts with incomplete linguistic preference relations (ILPRs) in heterogeneous group …