太赫兹科学与电子信息学报2016，Vol.14Issue(4)：621-624,639,5.DOI:10.11805/TKYDA201604.0621
基于加权IFS证据合成的多源信息融合方法
Multi-source information fusion based on weighted IFS evidence combination algorithm
耿涛 1张安2
作者信息
- 1. 西安导航技术研究所，陕西西安 710068
- 2. 西北工业大学电子信息学院，陕西西安 710129
- 折叠
摘要
Abstract
A method for determining the discounting factor of each intuitionistic fuzzy evidence based on intuitionistic fuzzy cross-entropy is proposed to treat the reliability among the evidences for different sources and avoid the conflicts. It can be used in the intuitionistic fuzzy evidence combination to improve the efficiency of D-S combination algorithm. The score function simply used in the intuitionistic fuzzy decision is improved according to the certainty factor to discuss the final results of the combination. Experiments comparison with other approximations indicates the proposed algorithm is of effectiveness and high-performance in the multi-source information fusion.关键词
信息融合/证据理论/直觉模糊集/直觉模糊交叉熵/确定性因子Key words
information fusion/D-S evidence theory/Intuitionistic Fuzzy Sets(IFS)/intuitionistic fuzzy cross-entropy/certainty factors分类
信息技术与安全科学引用本文复制引用
耿涛,张安..基于加权IFS证据合成的多源信息融合方法[J].太赫兹科学与电子信息学报,2016,14(4):621-624,639,5.
