Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 7 | Page No.: 1581-1585
DOI: 10.3923/jas.2006.1581.1585
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Solving Information Fusion Problems on Unreliable Evidential Sources with Generalized DSmT

Limin Cheng, Li Kong and Xinde Li

Abstract:
How to deal with information fusion problems on unreliable evidential sources? Because the kind of fusion problem is everywhere in information society, DSmT recently developed from DST and probability theory is much more powerful than the other method (DST, etc.). However, it needs to be improved for its limitation that its author didn`t mention of solving information fusion problem on unreliable evidence source. Therefore in this study we ourselves extend DSmT and solve the fusion problem on not only equal-reliable sources of evidence, as well as unreliable evidence source. At last, An example is illustrated to verify the benefit of this kind of method and a conclusion is reached that generalized DSmT method can fuse any class information and knowledge effectively whether handing static fusion problems or dynamic fusion problems in real time directly.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    The Algorithm Aiming at Conflict to Improve DS Evidence Theory
  •    A Biased Rule for Data Fusion
  •    Multi-focus Image Fusion Based on The Nonsubsampled Contourlet Transform and Dual-layer PCNN Model
How to cite this article:

Limin Cheng, Li Kong and Xinde Li , 2006. Solving Information Fusion Problems on Unreliable Evidential Sources with Generalized DSmT. Journal of Applied Sciences, 6: 1581-1585.

DOI: 10.3923/jas.2006.1581.1585

URL: https://scialert.net/abstract/?doi=jas.2006.1581.1585

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom