Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making

Y Liu, L Zhu, RM Rodríguez, L Martínez - Information Fusion, 2024 - 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 …

On the role of community structure in evolution of opinion formation: A new bounded confidence opinion dynamics

Y Peng, Y Zhao, J Hu - Information Sciences, 2023 - Elsevier
The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …

Optimized decision support for BIM maturity assessment

ZS Chen, MD Zhou, KS Chin, A Darko, XJ Wang… - Automation in …, 2023 - Elsevier
Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-
reliant stakeholders and enterprises to identify BIM capabilities and facilitate process …

Fairness-aware large-scale collective opinion generation paradigm: A case study of evaluating blockchain adoption barriers in medical supply chain

ZS Chen, Z Zhu, ZJ Wang, Y Tsang - Information Sciences, 2023 - Elsevier
Generating collective opinion based on probability distribution function aggregation
occupies crucial roles in accomplishing probabilistic risk analysis, probabilistic-forecast …

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 …

A novel alpha-level sets based fuzzy DEMATEL method considering experts' hesitant information

ZX Zhang, L Wang, YM Wang, L Martínez - Expert Systems with …, 2023 - Elsevier
Fuzzy DEMATEL method is diffusely employed to analyze the interrelationship among
factors in various fields under uncertain and fuzzy environment. In the extant fuzzy …

Prioritization of unmanned aerial vehicles in transportation systems using the integrated stratified fuzzy rough decision-making approach with the hamacher operator

D Pamucar, I Gokasar, AE Torkayesh, M Deveci… - Information …, 2023 - Elsevier
Abstract The Integration of Unmanned Aerial Vehicles (UAVs) into transportation systems
has numerous benefits, ranging from the ability to record real-time data to having high …

Enhancing the durability of concrete in severely cold regions: Mix proportion optimization based on machine learning

H Chen, Y Cao, Y Liu, Y Qin, L **a - Construction and Building Materials, 2023 - Elsevier
Compared with inland areas, the environment for concrete in severely cold regions is more
harsh and includes ion erosion, changes in dry and wet conditions, low-temperature freeze …

Analysis of the suitability of the solar panels for hospitals: A new fuzzy decision-making model proposal with the T-spherical TOP-DEMATEL method

S Eti, H Dinçer, S Yüksel… - Journal of Intelligent & …, 2023 - content.iospress.com
In this study, a new fuzzy decision-making model is created to evaluate whether the solar
panels are efficient to minimize energy costs of the hospitals. The weights of the criteria are …

Opinion evolution and dynamic trust-driven consensus model in large-scale group decision-making under incomplete information

Y Shen, X Ma, Z Xu, E Herrera-Viedma, P Maresova… - Information …, 2024 - Elsevier
The shift to a new era of dealing with big data has driven continuous progress and
development in computer science, artificial intelligence and machine learning. This change …