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Perturbation Analysis of Evidential Reasoning Rule.

Authors :
Tang, Shuai-Wen
Zhou, Zhi-Jie
Hu, Chang-Hua
Yang, Jian-Bo
Cao, You
Source :
IEEE Transactions on Systems, Man & Cybernetics. Systems. Aug2021, Vol. 51 Issue 1, p4895-4910. 16p.
Publication Year :
2021

Abstract

Evidential reasoning (ER) rule has been widely used in addressing uncertainty, ignorance, and vagueness information. To explore its performance measure (PM), the perturbation analysis (PA) for the ER rule (ER rule-PA) is conducted, with perturbation taken into consideration. This article aims to analyze the robustness and stability of the ER rule, serving as theoretical basis and technical support for applied research and applications. The combination of two pieces of independent evidence is discussed, and perturbation is added to one piece of evidence. To represent the expected utility of evidence combination under perturbation, perturbation utility is introduced. The novel concept of perturbation coefficient is proposed to characterize the PM of the ER rule (ER rule-PM). The properties of perturbation coefficient are explored to demonstrate the impact of perturbation. The maximum permissible error (MPE) of perturbation coefficient is defined to characterize the acceptability of perturbation. A numerical study is examined to illustrate the implementation process of ER rule-PA. Moreover, a case study of reliability evaluation of aerospace relay is conducted to show the potential applications of ER rule-PA, which makes the proposed method more practical. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21682216
Volume :
51
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Systems, Man & Cybernetics. Systems
Publication Type :
Academic Journal
Accession number :
153068086
Full Text :
https://doi.org/10.1109/TSMC.2019.2944640