Open AccessComparison of the new improved combination approach that deal with conflict data with Yager’s solution approach
Author(s) -
Sofiia Alpert
Publication year - 2018
Publication title -
ukraïnsʹkij žurnal distancìjnogo zonduvannâ zemlì
Language(s) - English
Resource type - Journals
ISSN - 2313-2132
DOI - 10.36023/ujrs.2018.17.125
Subject(s) - dempster–shafer theory , process (computing) , computer science , data mining , artificial intelligence , mathematics , machine learning , operating system
Dempster-Shafer evidence theory is the most effective approach to process imprecise and incomplete information. But Dempster’s combination rule can not deal with conflicting data and can lead to illogical results. That’s why the combination of conflicting bodies of evidence is one of the most difficult problems. Yager’s solution approach can process conflicting data, but correlation among evidences is not taken into account. It was proposed a new combination method, that uses correlation among different bodies of evidence and give accurate results.