DocumentCode
3592404
Title
Combination of Non Distinct Evidences
Author
Smets, Philippe
Author_Institution
Laboratory for Medical Statistics, School of Public Health, Brussels Free University (ULB)
fYear
1984
Firstpage
554
Lastpage
555
Abstract
The impact of an evidence can be descibed by a belief function. When 2 evidences are obtained, they can be combined with Dempster´s rule of combination if the evidences are distinct. We define here the concept of distinctness and develop the rule of combination that applies when evidences are non distinct.
Keywords
Computational modeling; Laboratories; Power measurement; Public healthcare; Q measurement; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1984
Type
conf
Filename
4788439
Link To Document