DATA FUSION BASED ON FUZZY PAN-INTEGRAL

摘要：

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.Its the general form of most of the present integrals used in data fusion.In concrete problems, we can choose its proper form.

关键词： Data fusion Fuzzy measure Nonlinear integral Fuzzy pan-integral

作者: XIAO-QI LI

作者单位: Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3636-3640

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）