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 …
reduce the complexity of decision making, and it is an important ingredient for reaching a …
Time-series based multi-criteria large-scale group decision making with intuitionistic fuzzy information and application to multi-period battery supplier selection
SP Wan, T Rao, JY Dong - Expert Systems with Applications, 2023 - Elsevier
Battery is the core component of new energy vehicles. The choice of proper battery supplier
is crucial for new energy vehicle companies since it directly affects the market share and …
is crucial for new energy vehicle companies since it directly affects the market share and …
Evolutionary algorithms with blind fitness evaluation for solving optimization problems with only fuzzy fitness information
X Zhao, X Jia, T Zhang, Y Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Evolutionary algorithms (EAs) show strong adaptability in solving the complex optimization
problems. Fitness evaluation is an important step of EA. In this step, the fitness of individuals …
problems. Fitness evaluation is an important step of EA. In this step, the fitness of individuals …
Inference Analysis on the Evidential Reasoning Rule Under Evidence Weight Variations
ZJ Zhou, P Zhang, J Wang, CC Zhang… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
As an important parameter in the evidential reasoning (ER) rule, evidence weight has a
significant impact on the fusion results. In the existing research, much attentions have been …
significant impact on the fusion results. In the existing research, much attentions have been …