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Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making
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 …
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 …
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …
Optimized decision support for BIM maturity assessment
Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-
reliant stakeholders and enterprises to identify BIM capabilities and facilitate process …
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
Generating collective opinion based on probability distribution function aggregation
occupies crucial roles in accomplishing probabilistic risk analysis, probabilistic-forecast …
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 …
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
Fuzzy DEMATEL method is diffusely employed to analyze the interrelationship among
factors in various fields under uncertain and fuzzy environment. In the extant fuzzy …
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
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 …
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 …
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
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 …
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
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 …
development in computer science, artificial intelligence and machine learning. This change …