A Multi-source intelligence fusion methodology for early-warning system based on evidential reasoning algorithm

Author

Gui Yang ; Pan Quan ; Jiao Lianmeng ; Yang Feng

Author_Institution

Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China

fYear

2013

Firstpage

4635

Lastpage

4640

Abstract

This paper describe a method for the fusion of multi-source external intelligence in early-warning system. First, a model of external intelligence expression in quantification is built, then an evidential reasoning (ER) algorithm based multi-source external intelligence fusion model is employed to aggregate every basic probability mass representing the belief degree to which the intelligence supports that the situation is assessed to every evaluation grade. Moreover, a four-main attribute based analytic hierarchy process is proposed to calculate the weight of intelligence. A numerical example is also given to validate the methodology.

Keywords

alarm systems; analytic hierarchy process; inference mechanisms; sensor fusion; ER algorithm; basic probability mass aggregation; early-warning system; evaluation grade; evidential reasoning algorithm; external intelligence expression model; four-main attribute based analytic hierarchy process; intelligence weight; multisource intelligence fusion methodology; Artificial intelligence; Automation; Cognition; Educational institutions; Electronic mail; Erbium; Graphical user interfaces; Early Warming; Evidential Reasoning(ER); Multi-source Intelligence Fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2013 32nd Chinese

Conference_Location

Xi´an

Type

conf

Filename

6640238