The grey model with the fractional Hausdorff derivative is put forward to enhance the
forecasting accuracy of traditional grey model. The proposed model will not be effect by the …

In China's new development stage, reaching carbon peaking and neutrality has emerged as
a complicated and substantial task, highlighting the importance of forecasting CO 2 …

Considering the weakness in the discrete grey seasonal model, a new grey seasonal model
is put forward by introducing a time trends item. Moreover, some properties of this proposed …

With the coming of intelligent manufacturing, multi-variety and small-batch production mode
has gradually become popular. Aiming at the characteristics of high dimensional information …

Predicting production bottleneck plays an important role in dynamic production process
optimization and throughput improvement of flexible shop-floor. However, great challenges …

The new information priority of the conformable fractional grey model is calculated. It is
shown from the results that the perturbation bounds of the conformable fractional grey model …

When using lean waste management in construction project delivery, computational
methodologies are currently an innovative technology for the implementation of efficient and …

To deal with various nonlinear issues in real applications, a novel time-power based grey
model is put forward. However, in the original form of this model, the time-power parameter α …

Purpose The proposed model can emphasize the priority of new information and can extract
messages from the first pair of original data. The comparison results show that the proposed …

To improve the employment forecasting accuracy of traditional grey models, the grey model
with the fractional error accumulation is proposed. The estimation error is accumulated. The …