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 …

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-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 …

Evaluation of the results of multi-attribute group decision-making with linguistic information

J Pang, J Liang - Omega, 2012 - Elsevier
Multi-attribute group decision-making (MAGDM) has received increasing attentions in both
engineering and economy fields. Correspondingly, many valuable methods have been …

A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …

CC Li, Y Dong, F Herrera - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …

Deriving the personalized individual semantics of linguistic information from flexible linguistic preference relations

L Jiang, H Liu, Y Ma, Y Li - Information Fusion, 2022 - Elsevier
In group decision making, flexible linguistic preference relations (FLPRs) are very useful
with the pairwise comparisons taking the form of flexible linguistic expressions (FLEs). Due …

[HTML][HTML] An entropy-based method for probabilistic linguistic group decision making and its application of selecting car sharing platforms

G Xu, SP Wan, JY Dong - Informatica, 2020 - content.iospress.com
As the tourism and mobile internet develop, car sharing is becoming more and more
popular. How to select an appropriate car sharing platform is an important issue to tourists …

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 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 …

[HTML][HTML] A novel preference measure for multi-granularity probabilistic linguistic term sets and its applications in large-scale group decision-making

B Wang, J Liang - International Journal of Fuzzy Systems, 2020 - Springer
Comparing probabilistic linguistic term sets (PLTSs) is quite essential in solving PLTS-
expressed multi-attribute group decision-making problems (PLTS-MAGDM). Researchers …