The Application Research of Coal Seam CO Source Identification Based on the D-S Evidence Conflict

Feng Nan; Yang Li

doi:10.4028/www.scientific.net/AMM.341-342.961

Paper Titles

Path Planning of Multi-Robot Fish Based on Cooperative Game Model
p.940

Backstepping Based Adaptive Control of Magnetic Levitation System
p.945

Action Decision Strategy of Simulation Robot Fish Based on Ant Colony Algorithm
p.949

Comprehensive CEP Evaluation Method for Calculating Positioning Precision of Navigation Systems
p.955

The Application Research of Coal Seam CO Source Identification Based on the D-S Evidence Conflict
p.961

Vibration Analysis and Control of an Active Power-Train Mount System
p.966

Used Surface Plasma Wave Measure the Thickness and the Negative Permittivity of Nanometal Film
p.971

Research of Face Recognition System Based on TMS320DM642
p.975

Constraint and Motion Analysis of a Hybrid Mechanism
p.980

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342The Application Research of Coal Seam CO Source...

The Application Research of Coal Seam CO Source Identification Based on the D-S Evidence Conflict

Abstract:

In the paper, we introduce the distance function of K-L information to replace the conflict coefficient in order to solve the constraint problem of D-S evidence theory in information fusion and achieve the feature recognition aggreation of Multi-source information under the conflict condition. Simulating results show that: the effective conflict identification of K-L information distance can complete the application constraint of D-S theorys synthetic rule, obtaining the optimized convergence results for synthesis of normal conflicting evidences, isolating the highly conflicting evidence.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

961-965

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.961

Citation:

Cite this paper

Online since:

July 2013

Authors:

Feng Nan, Yang Li

Keywords:

Conflict Identification, Dempster-Shafer Fusion, K-L Information Distance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zadeh L A. Review of books：A mathematical theory of evidence[J]. AI Magazine, 1984, 5(3) : 81－83.

Google Scholar

[2] Yager R R. On the D-S framework and new combination rules[J]. Information Sciences, 1987, 41(2) : 93－138.

Google Scholar

[3] Lefevre E, Colot O, Vannoorenberghe P. Belief functions combination and conflict management[J]. Information Fusion, 2002, 3(2) : 149－162.

DOI: 10.1016/s1566-2535(02)00053-2

Google Scholar

[4] Zhang S D, Wang L D. Absurdities about Dempter-Shafer's rule of combination of evidence[J]. Systems Engineering-Theory & Practice, 1997, 17(5) : 82－85.

Google Scholar

[5] Li W Y, Guo K H. Combination rules of D-S evidence theory and conflict problem[J]. Systems Engineering-Theory & Practice, 2010, 30(8) : 1422－1432.

Google Scholar

[6] Liang C Y, Chen Z M, Huang Y Q, et a1. A method of dispelling the absurdities of Dempster-Shafer's rule of combination[J]. Systems Engineering-Theory & Practice, 2005, 25(3) : 7－12.

Google Scholar

[7] REN Kai-jun, WU Meng-da, LIU Qi. The combination of prior distributions based on Kullback information[J]. Journal of the Academy of Equipment Command & Technology, 2002, 13(4): 90－92.

Google Scholar