An approach to multi-attribute decision-making based on intuitionistic fuzzy soft information and Aczel-Alsina operational laws

A Ali, K Ullah, A Hussain - Journal of decision analytics and …, 2023 - jdaic-journal.org
The intuitionistic fuzzy soft set (IFSS) is a vital technique for tackling uncertainty while the
collection of information with the help of the membership function having values from unit …

Opinion dynamics and minimum adjustment-driven consensus model for multi-criteria large-scale group decision making under a novel social trust propagation …

P Liu, Y Li, P Wang - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

A consensus measure-based three-way clustering method for fuzzy large group decision making

L Guo, J Zhan, Z Xu, JCR Alcantud - Information Sciences, 2023 - Elsevier
In fuzzy large group decision making methods, an effective clustering method can greatly
reduce the complexity of decision making, and it is an important ingredient for reaching a …

[HTML][HTML] Schweizer-Sklar prioritized aggregation operators for intuitionistic fuzzy information and their application in multi-attribute decision-making

H Garg, Z Ali, T Mahmood, MR Ali… - Alexandria Engineering …, 2023 - Elsevier
The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by
involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and …

Limited budget-based consensus model for large group decision making with hesitant fuzzy linguistic information

P Liu, X Dong, P Wang - Applied Soft Computing, 2023 - Elsevier
Considering the uncertainty of large group decision-making and the limitation of resources,
this paper constructs a large group decision-making method with hesitant fuzzy linguistic …

[HTML][HTML] Interpretable fuzzy clustering using unsupervised fuzzy decision trees

L Jiao, H Yang, Z Liu, Q Pan - Information Sciences, 2022 - Elsevier
In clustering process, fuzzy partition performs better than hard partition when the boundaries
between clusters are vague. Whereas, traditional fuzzy clustering algorithms produce less …

[HTML][HTML] Maclaurin symmetric mean aggregation operators based on novel Frank T-norm and T-conorm for intuitionistic fuzzy multiple attribute group decision-making

A Hussain, H Wang, K Ullah, H Garg… - Alexandria Engineering …, 2023 - Elsevier
Multi-attribute group decision-making (MAGDM) is an interesting technique to find the most
optimal alternative among comparative alternatives. Several authors put forward to MAGDM …

A probabilistic uncertain linguistic FMEA model based on the extended ORESTE and regret theory

J Sun, Y Liu, J Xu, N Wang, F Zhu - Computers & Industrial Engineering, 2023 - Elsevier
As a means of identifying, preventing, and controlling potential system failures, failure mode
and effect analysis (FMEA) has been extensively applied in many industries. However, the …

Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in Metaverse virtual community

T Gai, J Wu, M Cao, F Ji, Q Sun, M Zhou - Expert Systems with Applications, 2023 - Elsevier
This paper investigates how to conduct bidirectional feedback mechanism by establishing
trust chains in social network group decision making (SN-GDM), which is more applicable …

Dynamic multicriteria group decision-making method with automatic reliability and weight calculation

YW Du, JJ Zhong - Information Sciences, 2023 - Elsevier
With the increasing complexity of socioeconomic environments, multicriteria group decision-
making (MCGDM) has attracted increasing attention from researchers. Experts' weight and …