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

TL;DR

This paper introduces a generalized approach for fusing multi-source information that emphasizes quality and credibility to produce high-quality combined data, applicable to complex-valued distributions.

Contribution

The paper presents a novel generalized method that incorporates source credibility and quality assessment in multi-source information fusion.

Findings

Effective fusion of complex-valued distribution information.

Enhanced quality of fused results by considering source credibility.

Applicable to diverse multi-source data scenarios.

Abstract

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.