A generalized intelligent quality-based approach for fusing multi-source information
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Abstract (arXiv)
In this paper, we propose a generalized intelligent quality-based approach for fusing multi-source information. The goal of the proposed approach intends to fuse the multi-complex-valued distribution information while maintaining a high quality of the fused result by considering the usage of credible information sources.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Oct 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 1; 2024: 1.
6 papers.
- 2023Differential Convolutional Fuzzy Time Series Forecastingcited by 5
- 2024Limit of the Maximum Random Permutation Set Entropycited by 3
- 2021A Fast Evidential Approach for Stock Forecastingcited by 2
- 2021An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environmentcited by 0
- 2021Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertisecited by 0
- 2021Construction Cost Index Forecasting: A Multi-feature Fusion Approachcited by 0
- 2024Limit of the Maximum Random Permutation Set Entropy10 Mar 2024
- 2023Differential Convolutional Fuzzy Time Series Forecasting15 May 2023
- 2021Construction Cost Index Forecasting: A Multi-feature Fusion Approach18 Aug 2021
- 2021Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise14 May 2021
- 2021A Fast Evidential Approach for Stock Forecasting12 Apr 2021
- 2021An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment6 Apr 2021