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Article
A novel forecasting model based on the raised ordered pair fuzzy time series and fuzzy implication
In fuzzy time series (FTS) based forecasting models, FTS is utilized to depict the characteristic of time series. In the constructed FTS of the existing models, each moment consists of a fuzzy set to reflect t...
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Article
Open AccessA Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO
Feature selection can be seen as a multi-objective task, where the goal is to select a subset of features that exhibit minimal correlation among themselves while maximizing their correlation with the target la...
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Article
Deep feature network with multi-scale fusion for highly congested crowd counting
In this paper, we propose a deep feature network with multi-scale fusion (DFNet) for addressing the problem of crowd counting in highly congested noisy scenes. DFNet contains three modules: feature encoder, fe...
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Article
On rough set based fuzzy clustering for graph data
Data clustering refers to partition the original data set into some subsets such that every vertex belongs to one or more subsets at the same time. For graph data that composed by attribute information of vert...
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Article
Sentence pair modeling based on semantic feature map for human interaction with IoT devices
The rapid development of Internet of Things (IoT) brings an urgent requirement on intelligent human–device interactions using natural language, which are critical for facilitating people to use IoT devices. Th...
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Article
Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series
In any multi-factor high-order fuzzy logical relationship (FLR) based forecasting model, a FLR reflects the influence of both the main factor (the forecasted factor) and all the influence factors on the main f...
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Article
One-step multi-view spectral clustering by learning common and specific nonnegative embeddings
Multi-view spectral clustering is a hot research area which has attracted increasing attention. Most existing multi-view spectral clustering methods utilize a two-step strategy. The first step obtains a common...
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Article
A self-adaptive preference model based on dynamic feature analysis for interactive portfolio optimization
In financial markets, there are various assets to invest in. Recognizing an investor’s preferences is key to selecting a combination of assets that best serves his or her needs. Considering the mean–variance m...
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Article
Sparse Auto-encoder with Smoothed \(l_1\) Regularization
Improving the performance on data representation of an auto-encoder could help to obtain a satisfying deep network. One of the strategies to enhance the performance is to incorporate sparsity into an auto-enco...