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• Define a new similarity measure for pairwise flexible linguistic expressions.
• Design an integrated PIS optimization model to derive the personalized semantics.
• Develop a decision-maker weight optimization model from a consensus ...

Flexible linguistic expression (FLE) is a complex linguistic representation that almost generalizes all distributed representations, posing the following challenges for the personalized individual semantics (PIS) issues in group decision-making (...

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Crop selection is a critical task that involves assessing multiple risk factors to achieve maximum yield. Therefore, risk assessment plays a pivotal role in choosing suitable crops for cultivation. Probabilistic and possibilistic methods are the ...

Image-based 2D/3D registration is a crucial technology for fluoroscopy-guided surgical interventions. However, traditional registration methods relying on a single X-ray image into surgical navigation systems. This ...

• A 2D/3D registration method utilizing biplanar X-rays to enhance accuracy.
• A novel similarity measure designed to mitigate image noise and improve robustness.
• A precise coordinate transformation method aimed at improving overall ...

The mining result set of spatial prevalent co-location patterns(SPCPs) is often large and redundant, especially when the prevalence threshold is set to low or long SPCPs are present. Meanwhile, the distribution of SPCPs in continuous space and ...

• Visible relationships depict inter-pattern relations based on pattern distribution.
• Proposes unified representation method for expressing patterns.
• The representation method supports downstream machine learning applications.
• ...

The investment processes are critical to the development of the economic system. Several factors must be considered when evaluating investment projects. These factors are frequently ambiguous and difficult to quantify. The Type 2 intuitionistic ...

Density peaks clustering (DPC) algorithm reported in Science is a novel and efficient clustering method which has attracted great attention for its simplicity and practicability. Although it has shown promising results in some applications, there ...

Similarity measure is a useful tool to determine the similarity of two intuitionistic fuzzy sets (IFSs). Theoretically, there are two free variables of membership and non-membership on IFSs, and the most fuzzy set is not solely. Therefore, it is ...

• This study proves that the fuzziest number in IFS is not solely.
• Weighted average distances between IFSs and the two most fuzzy sets are proposed.
• A novel knowledge-based similarity measure on IFSs is proposed.
• The proposed ...

Small and medium-sized enterprises (SMEs) play a vital role in economic and social development. Among them, scientific and technological innovation ability and investment choice ability are the key factors to evaluate the competitiveness of SMEs. ...

• Axiomatic definitions of information measures of IT2TrFS are introduced.
• Trigonometric information measure formulas for IT2TrFS are constructed.
• The relationship among the information measures is discussed.
• A MADM method is ...

This paper introduces a novel similarity function that evaluates both the quantitative and qualitative similarities between data instances, named QQ-Means (Qualitative and Quantitative-Means). The values are naturally scaled to fall within the ...

The computing models such as crisp automata, fuzzy automata and general fuzzy automata (GFA) are used to represent complex systems for predefined input alphabets or symbols. A framework that can process words rather than symbols is needed to ...

There is a continuous and explosive growth of multimodal data. Efficient cross-modal hashing retrieval is of significant importance in conserving computational resources.To further enhance the attention to informative data within modalities and ...

Complex networks have a large number of nodes and edges, which prevents the understanding of network structure and the discovery of valid information. This paper proposes a new community detection method for simplified networks. First, a ...

Community detection is a significant research area in social networks. Most methods use network topology, but combining it with user interactions improves accuracy. This paper proposes a robust method to identify communities based on the improved ...

Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. As a common WSOL method, adversarial erasing always masks the most discriminative region in the feature space to compel the network to localize ...

• A novel adversarial erasing feature disparity learning method.
• Introduce a Spatial Vector Cross Attention module to enlargement feature disparity.
• The network implicitly learns feature disparities by similarity regularization.

Handling unreliable detections and avoiding identity switches are crucial for the success of multiple object tracking (MOT). Ideally, MOT algorithm should use true positive detections only, work in real-time and produce no identity switches. To ...

Adaptive-network-based fuzzy inference system (ANFIS) is a well-known neuro-fuzzy system, which is widely implemented in nonlinear system approximation, prediction, control, and pattern classification. However, either too many fuzzy sets or fuzzy ...

As a nonlinear distance measurement, Dynamic time warping (DTW) is widely used to solve the alignment problem of time series. However, due to local distortion of signal, noise interference, and high computational cost, DTW and its variants ...

• Local extrema are used to approximate the time series.
• Developed subsequence features based on local extrema.
• A fast and robust sequence alignment algorithm is proposed.
• Time series classification accuracy is improved.

This paper introduces a new Multi-interval-valued fuzzy sets (MIVFSs) model, in which the membership degrees of an alternative to given a set are represented by multiple interval values within the [0, 1] range along with their respective counting ...

• The definition and related concepts of M-IVFSs are introduced.
• The order strategies and operational laws of M-IVFEs are explored.
• We developed the distance, similarity, and interval projection of M-IVFSs.
• Two MADM ranking ...

A variety of fuzzy sets, especially Pythagorean fuzzy sets (PFSs), are commonly utilized to describe the ambiguity of information in three-way decision (3WD) models. PFSs can handle fuzzy information well but ignore the description of stochastic ...

Being a pair of dual concepts, the normalized distance and similarity measures are important tools for decision-making and pattern recognition under the intuitionistic fuzzy set framework. In this paper, we first construct some counterexamples to ...