Study on Extenics Information Fusion Method and It's Application
Author(s) -
Zhong Li,
Ailing Wang,
Qi Furong
Publication year - 2011
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2011.02.05
Subject(s) - information fusion , computer science , rough set , function (biology) , fusion , evidential reasoning approach , data mining , artificial intelligence , decision support system , linguistics , philosophy , business decision mapping , evolutionary biology , biology
This paper makes analysis on theories of D-S evidential reasoning, rough sets, and extenic sets; and indicates that there are some similarities among the three theories in defining uncertainty sets. Therefore, it's feasible to introduce relevant theories and methods of extenics into 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 a good solution for problems of evidence collision and BPA function in information fusion method based on D-S evidential reasoning. The simulation test shows that MEF is better than the traditional D-S evidential reasoning and is applicable to assess all kinds of problems. Using the method of this paper to evaluate surface water in one area of Northern China, the results were consistent with the fact.
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