用Z数与信度转换融合多源信息，提升判断准确性
A Novel Method for Pignistic Information Fusion in the View of Z-number
- 结合信度转换与Z数处理多源不确定信息
- 在数值实验中保持高准确率和鲁棒性
- 适合需要可靠决策的复杂系统应用
如何有效融合复杂来源的信息仍是开放问题。已有多种方法用于处理复杂信息融合，其中达姆斯特-谢弗证据理论（DSET）是代表性方法，广泛应用于不确定性信息处理。本文提出一种基于信度转换与Z数的新信息融合方法，能够有效应对信息分离情形，并在实际情境下生成合理且正确的判断，保持较高准确性。为验证所提方法的优势，论文还提供了若干数值实例及应用场景，证实了其有效性与鲁棒性。
原文摘要 · Abstract (English)
How to properly fuse information from complex sources is still an open problem. Lots of methods have been put forward to provide a effective solution in fusing intricate information. Among them, Dempster-Shafer evidences theory (DSET) is one of the representatives, it is widely used to handle uncertain information. Based on DSET, a completely new method to fuse information from different sources based on pignistic transformation and Z-numbers is proposed in this paper which is able to handle separate situations of information and keeps high accuracy in producing rational and correct judgments on actual situations. Besides, in order to illustrate the superiority of the proposed method, some numerical examples and application are also provided to verify the validity and robustness of it.
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