# A generalized intelligent quality-based approach for fusing multi-source information

arXiv: https://arxiv.org/abs/1910.06150 · HTML: https://mlsanity.com/paper/1910.06150/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Oct 2019.

## Built on by (most cited first, 6 of 6)

- [Differential Convolutional Fuzzy Time Series Forecasting](https://mlsanity.com/paper/2305.08890/) (2023)
- [Limit of the Maximum Random Permutation Set Entropy](https://mlsanity.com/paper/2403.06206/) (2024)
- [A Fast Evidential Approach for Stock Forecasting](https://mlsanity.com/paper/2104.05204/) (2021)
- [An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment](https://mlsanity.com/paper/2104.05416/) (2021)
- [Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise](https://mlsanity.com/paper/2105.08781/) (2021)
- [Construction Cost Index Forecasting: A Multi-feature Fusion Approach](https://mlsanity.com/paper/2108.10155/) (2021)

## 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.