Title :
Study on information fusion method of extenics-based D-S evidential theory
Author :
Qi, Furong ; Wu, Qiang ; Li, Zhong ; Wang, Ailing
Author_Institution :
Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Making analysis on the theories of D-S evidential reasoning, rough sets and extenics sets, the three theory held comparability in defining uncertainty sets. It´s feasible to introduce the relevant theories and methods of extenics to information fusion and a method of extenics fusion (MEF) is presented as well. The method combines extenic correlation function with Dempster rule and is considered to be a good solution in solving evidence collision and BPA function in information fusion method basing on D-S evidential theory. The simulation test results show that MEF is better than the traditional D-S evidential theory and is applicable to all kinds of evaluation problems.
Keywords :
correlation theory; inference mechanisms; rough set theory; D-S evidential reasoning; Dempster rule; extenic correlation function; extenics sets; information fusion method; method of extenics fusion; rough sets; Correlation; Data models; Finite element methods; Joints; Reliability; Set theory; Uncertainty; BPA; D-S evidential theory; Extenics; Extenics fusion;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639337