Stochastic group preference acceptability analysis for interval-valued multiplicative preference relations based on TODIM method

K Zhang, L Zhou, X Dai, H Li - Applied Soft Computing, 2024 - Elsevier
Among many decision problems, interval-valued multiplicative preference relation (IMPR) is
widely utilized due to its ability to express uncertain information. A new approach to solve …

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 …

Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment

JC González-Quesada, A Velykorusova… - … Applications of Artificial …, 2024 - Elsevier
If a decision depends on the views of a group of people, it is crucial that these views are
consistent, in particular if they are represented in terms of fuzzy preference relations …

A PSO-algorithm-based dual consensus method for large-scale group decision making and its application in medical imaging equipment purchasing

T Wu, Z Xu, Y Zheng - Applied Soft Computing, 2024 - Elsevier
The increasing complexity of social aSctivities requires an expanding number of people to
be involved in decision-making, so that the large-scale multi-attribute group decision-making …

Incorporating artificial intelligence in detecting crop diseases: Agricultural decision-making based on group consensus model with MULTIMOORA and evidence theory

C Zhang, B Wang, W Li, D Li - Crop Protection, 2024 - Elsevier
The continuous advancements in artificial intelligence (AI) technology are facilitating its
widespread integration across various sectors, prominently within agriculture. This evolving …

A Robust Maximum Fairness Consensus Model With Limited Cost Under the Uncertain Trust Relationships and Individual Weights

X Zhou, G Gong, Q Zha, M Zhan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The uncertainty of the trust relationships between decision makers (DMs) or the uncertainty
of individual weights will lead to the uncertainty of fairness and consensus management in …

Impact of Urban Expansion on Carbon Emissions in the Urban Agglomerations of Yellow River Basin, China

Z Wang, Y Zeng, X Wang, T Gu, W Chen - Land, 2024 - mdpi.com
Continued urban expansion (UE) has long been regarded as a huge challenge for climate
change mitigation. However, much less is known about how UE affects carbon emissions …

Robust Consensus Modeling: Concerning Consensus Fairness and Efficiency with Uncertain Costs

X Zhang, H Liang, S Qu - Mathematics, 2024 - mdpi.com
Extensive uncertainty can affect the efficiency and fairness of consensus in the consensus
reaching process (CRP), but few scholars have studied consensus modeling that focuses on …

[PDF][PDF] The large-scale group consensus multi-attribute decision-making method based on probabilistic dual hesitant fuzzy sets

Y Zhu, W Zhang, J Hou, H Wang, T Wang… - Mathematical …, 2024 - aimspress.com
We proposed a novel decision-making method, the large-scale group consensus
multiattribute decision-making method based on probabilistic dual hesitant fuzzy sets, to …

A novel distance measure for probabilistic linguistic term sets with application to emergency decision-making

H Liu, Z Wang, H Jia - 2024 - researchsquare.com
The probabilistic linguistic term sets (PLTSs), as a form of fuzzy language, is capable of
effectively expressing the evaluation information of decision-makers (DMs) in emergency …