期刊文献+

An Information Fusion Model of Innovation Alliances Based on the Bayesian Network 被引量:2

An Information Fusion Model of Innovation Alliances Based on the Bayesian Network
原文传递
导出
摘要 To solve the problem of information fusion from multiple sources in innovation alliances, an information fusion model based on the Bayesian network is presented. The multi-source information fusion process of innovation alliances was classified into three layers, namely, the information perception layer, the feature clustering layer,and the decision fusion layer. The agencies in the alliance were defined as sensors through which information is perceived and obtained, and the features were clustered. Finally, various types of information were fused by the innovation alliance based on the fusion algorithm to achieve complete and comprehensive information. The model was applied to a study on economic information prediction, where the accuracy of the fusion results was higher than that from a single source and the errors obtained were also smaller with the MPE less than 3%, which demonstrates the proposed fusion method is more effective and reasonable. This study provides a reasonable basis for decision-making of innovation alliances. To solve the problem of information fusion from multiple sources in innovation alliances, an information fusion model based on the Bayesian network is presented. The multi-source information fusion process of innovation alliances was classified into three layers, namely, the information perception layer, the feature clustering layer,and the decision fusion layer. The agencies in the alliance were defined as sensors through which information is perceived and obtained, and the features were clustered. Finally, various types of information were fused by the innovation alliance based on the fusion algorithm to achieve complete and comprehensive information. The model was applied to a study on economic information prediction, where the accuracy of the fusion results was higher than that from a single source and the errors obtained were also smaller with the MPE less than 3%, which demonstrates the proposed fusion method is more effective and reasonable. This study provides a reasonable basis for decision-making of innovation alliances.
出处 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2018年第3期347-356,共10页 清华大学学报(自然科学版(英文版)
基金 supported by the National Natural Science Foundation of China(Nos.71472053,71429001,and91646105)
关键词 information fusion innovation alliance Bayesian networks forecasting model decision making big data information fusion innovation alliance Bayesian networks forecasting model decision making big data
  • 引文网络
  • 相关文献

参考文献1

二级参考文献1

共引文献9

同被引文献11

引证文献2

二级引证文献7

;
使用帮助 返回顶部