Title :
The study and improvement of dependent evidence combining method
Author :
Yuan, Zhang ; Baoli, Bai
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an
Abstract :
A new method for combining dependent evidence is proposed based on identifying the dependent original evidences and independent original evidences. By solving the combination equation, the two dependent evidences can be identified into one dependent original evidence and two independent original evidences; the dependence between the two evidences is eliminated. Some conclusions of identifying the independent original evidences for Bayesian recognition framework are given and proved. The more reasonable results can be obtained through this method when fusing dependent evidences.
Keywords :
Bayes methods; case-based reasoning; Bayesian recognition framework; combination equation; dependent evidence combining method; independent original evidence; Bayesian methods; Constraint theory; Data mining; Educational institutions; Equations; Information processing; Partial response channels; Uncertainty; Bayesian Recognition Framework; Dependent Evidence; Evidence Theory; Uncertainty Reasoning;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138904
