A hybrid MCDM model with Monte Carlo simulation to improve decision-making stability and reliability

H Cui, S Dong, J Hu, M Chen, B Hou, J Zhang… - Information …, 2023 - Elsevier
Employing an appropriate method to achieve a reliable decision remains a challenge for
decision-makers (DMs) in the multiple-criteria decision-making (MCDM) process owing to its …

Trust evolution based minimum adjustment consensus framework with dynamic limited compromise behavior for probabilistic linguistic large scale group decision …

WC Zou, SP Wan, JY Dong - Information Sciences, 2024 - Elsevier
To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

Managing non-cooperative behaviors in consensus reaching process: A novel multi-stage linguistic LSGDM framework

HH Song, B Dutta, D García-Zamora, YM Wang… - Expert Systems with …, 2024 - Elsevier
Large-scale group decision-making (LSGDM) is a complex process involving numerous
decision-makers (DMs). However, considering such a large number of DMs increases the …

[HTML][HTML] Average consistency index based consensus model for a group decision making problem dealing with ELICIT expressions

W He, RM Rodríguez, L Martínez - Computers & Industrial Engineering, 2023 - Elsevier
A group decision making (GDM) problem is often modeled by using a reciprocal preference
relation (RPR) structure. Linguistic information is widely used in RPRs to depict its …

Fuzzy encoding and decoding approaches for 2-TCLE and their applications in multi-criteria decision making

Y Liu, H Zhou, RM Rodríguez, L Martínez - Information Sciences, 2023 - Elsevier
In order to incorporate linguistic information into decision making, it is necessary to apply
computing with words (CW) techniques. Traditional CW models use only single and simple …

Aged Care Projects Evaluation Research Based on the Self-Adaptive Consensus Emergence Model Driven by the Social Learning Mechanism

X Tao, W Jiang, J Wang, S Yang - Expert Systems with Applications, 2024 - Elsevier
In recent years, the accelerated aging process in China has brought enormous pressure on
the traditional aged care system. The private family-based aged care mode cannot resolve …

Improvement of full consistency multiple objective optimization based on concept of stratification theory and PageRank and linguistic polytopic hesitant fuzzy sets

X Zhang, M Goh, S Bai, D Pamucar, L Bai - Information Sciences, 2024 - Elsevier
Abstract Innovative, Resilient, and Green Supplier Selection (IRGSS) is an emerging need
often viewed as a complex multi-criteria decision-making problem. However, overly stringent …

A three-way large-scale group decision-making model based on rewards-and-punishments mechanism for triple-path consensus reaching process in high-end …

N Xiang, Y Dou, Q Jia, J Wang, Y Tan - Expert Systems with Applications, 2024 - Elsevier
In high-end equipment project selection, which involves high technical complexity,
significant capital investment, and cross-industry applications, it is essential to involve …

[HTML][HTML] A large-scale multi-attribute group decision-making method with R-numbers and its application to hydrogen fuel cell logistics path selection

R Cheng, J Fan, M Wu, H Seiti - Complex & Intelligent Systems, 2024 - Springer
The large-scale multi-attribute group decision-making (LSMAGDM) problem has become a
hot research topic in the field of decision science. An R-numbers large-scale multi-attribute …

[HTML][HTML] Trust Improvement Consensus Model Considering Unreliability Degree of Opinions with Hesitant Fuzzy Sets

Z Tang, T Hao, D Cheng, F Cheng - International Journal of Computational …, 2024 - Springer
Trust is a crucial element in the consensus decision-making process, as it significantly
impacts a group's capacity to achieve consensus. Nevertheless, low trust by experts may …