DocumentCode
467854
Title
Data Fusion Based on Fuzzy Pan-Integral
Author
Li, Xiao-Qi
Author_Institution
Northeastern Univ. at Qinhuangdao, Qinhuangdao
Volume
6
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
3636
Lastpage
3640
Abstract
In data fusion, aggregations with various backgrounds require a variety of integrals to be chosen. These integrals are generally nonlinear due to the nonadditivity of the set functions used in real problems. In this paper, data fusion based on fuzzy pan-integral is considered. Its primary properties and convergence theorems are given. It´s the general form of most of the present integrals used in data fusion. In concrete problems, we can choose its proper form.
Keywords
convergence; fuzzy set theory; convergence theorems; data fusion; fuzzy pan-integral; set functions; Concrete; Convergence; Cybernetics; Databases; Fuzzy sets; Machine learning; Power measurement; Data fusion; Fuzzy measure; Fuzzy pan-integral; Nonlinear integral;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370777
Filename
4370777
Link To Document