DocumentCode
3530738
Title
Aspects of object merging
Author
Bronselaer, Antoon ; De Tré, Guy
Author_Institution
Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
fYear
2010
fDate
12-14 July 2010
Firstpage
1
Lastpage
6
Abstract
Information fusion is a research area that investigates how to combine information provided by independent sources into one piece of information. This topic has been studied for several applications leading to, amongst others, aggregation operators in bounded lattices and merge functions of propositional belief bases. In this paper, information fusion is investigated in the context of coreferent objects, which are objects that refer to the same real world entity. Some important properties of object merge functions are pointed out and object merge functions for both atomic and complex objects are investigated in a possibilistic framework. It is shown how merge functions for complex objects can be composed of merge functions for atomic objects, such that the composite function inherits the properties of the merge functions from which it is composed.
Keywords
data handling; sensor fusion; statistical distributions; aggregation operators; atomic objects; complex objects; composite function; coreferent objects context; information fusion; merge functions; possibilistic framework; propositional belief bases; Batteries; Databases; File systems; Fuses; Information processing; Information systems; Lattices; Merging; Object detection; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-7859-0
Electronic_ISBN
978-1-4244-7857-6
Type
conf
DOI
10.1109/NAFIPS.2010.5548205
Filename
5548205
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