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Publications (20)
In recent years, evidential reasoning (ER) has provided an effective means to deal with uncertain information depicted by probabilistic linguistic terms sets (PLTSs) during fusion. However, it is worth noting that due to the differences in decision makers’ preferences and understanding of linguistic terms, there is a significant difference between...
The lung cancer incidence and mortality in China have always been high. Moreover, due to the limited level of professional technology, misdiagnosis and missed diagnosis of lung cancer often occur. To improve the accuracy of diagnosis, this paper proposes an interpretable diagnostic method for lung cancer based on Chinese electronic medical records...
As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medical costs of diabetes. Most medical cost studies based on convolutional neural networks (CNNs) ignore the importance of multi-granularity information of medical concepts and time interval characteristics of patients' multiple visit sequences, which ref...
Deep learning techniques have been widely used in traffic flow prediction. They can perform much better than shallow models. However, most existing deep learning models only focus on deterministic data, ignoring the fact that traffic flow contains a large amount of uncertain data. Therefore, this paper proposes a novel hybrid model called FGRU comb...
Over the years, research on fuzzy clustering algorithms has attracted the attention of many researchers, and they have been applied to various areas, such as image segmentation and data clustering. Various fuzzy clustering algorithms have been put forward based on the initial Fuzzy C-Means clustering (FCM) with Euclidean distance. However, the exis...
With the development of the Internet and big data, more and more consumer behavior data are used in different forecasting problems, which greatly improve the performance of prediction. As the main travel tool, the sales of automobiles will change with the variations of the market and the external environment. Accurate prediction of automobile sales...
Detecting and preventing unusual claims behavior in medical insurance can reduce the drawdown of a group medical insurance pool. Taking the case of the urban employee basic medical insurance (UEBMI) in China, this paper develops a method to detect unusual medical claim patterns in the UEBMI. We collect public domain records involving gastric malign...
It is a consensus that Fee-for-Service (FFS) is a traditional medical insurance payment scheme with significant disadvantages, namely the waste of health care resources. However, the majority of the prior works that draw such conclusions from the perspective of social welfare while analyzing the impacts of FFS on operation outcomes of hospitals sti...
Energy performance contracting (EPC) mechanism is a good choice for conducting energy-saving renovation projects of public buildings. Furthermore, risk analysis is critical to smoothly implement these EPC projects. Therefore, this paper intends to set up a large-scale group decision-making (LGDM) framework based on delegation mechanism to rank risk...
With the development of the social economy and an enlarged volume of information, the application of multiple-criteria decision making (MCDM) has become increasingly wide and deep. As a brilliant MCDM technique, the best–worst method (BWM) has attracted many scholars’ attention because it can determine the weights of criteria with less comparison t...
Safety risk assessment of metro construction is necessary to prevent catastrophic accidents that may cause heavy financial losses and casualties. In this paper, we introduce a comprehensive risk assessment framework that incorporates credal networks (CNs) and an improved evaluation based on distance from average solution (EDAS) method. First, the C...
In the era of big data, the research on clustering technologies is a popular topic because they can discover the structure of complex data sets with minimal prior knowledge. Among the existing soft clustering technologies, as an extension of fuzzy c-means (FCM) algorithm, the intuitionistic FCM (IFCM) algorithm has been widely used due to its super...
Credit risk assessment is usually regarded as an imbalanced classification task solved by static ensemble classifiers. However, the dynamic ensemble selection (DES) strategy that can select different ensemble classifiers for each query sample is rarely used. Deficiency of the existing DES algorithm in dealing with imbalanced data is the major chall...