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                                       Details van artikel 54 van 65 gevonden artikelen
 
 
  Solving Information Fusion Problems on Unreliable Evidential Sources with Generalized DSmT
 
 
Titel: Solving Information Fusion Problems on Unreliable Evidential Sources with Generalized DSmT
Auteur: Limin Cheng
Li Kong
Xinde Li
Verschenen in: Journal of applied sciences
Paginering: Jaargang 6 (2006) nr. 7 pagina's 1581-1585
Jaar: 2006
Inhoud: 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.
Uitgever: Asian Network for Scientific Information, Pakistan (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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