河北科技大学学报2011，Vol.32Issue(2)：128-132,5.
应用粒子群算法从已知数据中确定置信测度和似然测度
Using particle swarm algorithm to identify belief and plausible measures from known data
李正涛 1赵环宇 2马献果3
作者信息
- 1. 河北省科学院科技处,河北石家庄,050081
- 2. 石家庄开发区冀科双实科技有限公司,河北石家庄,050081
- 3. 河北省科学院应用数学研究所,河北石家庄,050081
- 折叠
摘要
Abstract
We apply particle swarm algorithm to identify belief and plausible measures, and improve the basic algorithm. By comparing with the basic and genetic algorithms, we verify that the improved one is more effective and efficient.关键词
置信模糊测度/似然模糊测度/模糊积分/粒子群优化/学习Key words
belief fuzzy measure/ plausible fuzzy measure/ fuzzy integral/ particle swarm optimization/ learning分类
信息技术与安全科学引用本文复制引用
李正涛,赵环宇,马献果..应用粒子群算法从已知数据中确定置信测度和似然测度[J].河北科技大学学报,2011,32(2):128-132,5.
