Title :
Data Fusion Based on Fuzzy Pan-Integral
Author_Institution :
Northeastern Univ. at Qinhuangdao, Qinhuangdao
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;
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
DOI :
10.1109/ICMLC.2007.4370777
