Nitrogen, as one of the important elements affecting the growth and development of fruit
trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing …

In the structure of fuzzy inference systems, the decision-making process is based on certain
rules called “if-then”. It is highly difficult to determine these rules. The fuzzy regression …

A fuzzy regression function approach is a fuzzy inference system method whose rules
cannot be determined based on expert opinion, unlike a classical fuzzy inference system. In …

Given the advantages of Omni-Channel Retailing (OCR), such as integrating offline and
online channels and offering the convenience of online channels with instant fulfillment of …

A picture fuzzy regression function approach is a fuzzy inference system method that uses
as input the lagged variables of a time series and the positive, negative and neutral …

China, the world's largest carbon emitter, plays a pivotal role in achieving carbon neutrality.
This study systematically analyzes the impact of landscape indices on carbon emissions …

Among forecasting model families, the intuitionistic fuzzy-based forecasting model stands
out due to its comprehensive approach to uncertainty, considering possible degrees of …

To improve the accuracy and robustness of stochastic configuration networks (SCNs) for
resolving multi-target regression tasks, this paper proposes a robust modeling approach …

为实现城市固废焚烧(Municipal solid waste incineration, MSWI) 过程炉温与烟气含氧量的准确
预测, 提出一种基于改进随机配置网络的多目标鲁棒建模方法(Multi-target robust modeling …

The deficiency in data collection and reporting has led to the emergence of uncertainty in the
data in the pandemic process. These matters cause that traditional statistical and …