Mar 14, 2024 · We propose a novel method for generating CBBA using high-level features extracted from Box–Cox transformation and discrete Fourier transform (DFT).

May 3, 2024 · The proposed method is applied to pattern classifi- cation tasks through a multisource information fusion algorithm, and it is compared with ...

Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function. Issue title: The ...

This is a two-stage model that includes fusion of multiple information sources and outlier detection of fused data.

Specifically, our method deploys complex Gaussian fuzzy number (CGFN) to generate CBBA, which provides a more accurate representation of information. The ...

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. 1 May 2024IEEE transactions on fuzzy systems32(5):3247-3259 ...

In this paper, we develop a novel Gaussian-shaped Fuzzy Inference System (GFIS) driven by multi-source fuzzy data.

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification. Authors. Shengjia Zhang · Mingrui Yin · Fuyuan Xiao · ORCID ID ...

Sep 30, 2024 · In this paper, we first provide a comprehensive review of data fusion methods based on Dempster–Shafer evidence theory and its extensions.

Single and mixed Gaussian models are used for single source information and their fusion results, and a parameter estimation method is also introduced.