A Novel Method for Pignistic Information Fusion in the View of Z-number

TL;DR

This paper introduces a new information fusion method combining Dempster-Shafer theory, pignistic transformation, and Z-numbers to improve accuracy and robustness in handling uncertain, complex data sources.

Contribution

The paper proposes a novel fusion approach integrating Z-numbers with pignistic transformation within Dempster-Shafer theory, enhancing decision accuracy in uncertain environments.

Findings

Method effectively handles complex uncertain information.

Numerical examples demonstrate improved accuracy.

Application confirms robustness of the approach.

Abstract

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.