Multi-source information fusion based on negation of reconstructed basic probability assignment with padded gaussian distribution and belief entropy

HIGHLIGHTS

• who: Yujie Chen and colleagues from the School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China have published the Article: Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy, in the Journal: EPL
• what: To extract helpful information from multi-source information in this paper the authors propose a multi-source information fusion method based on the Dempster-Shafer (DS) evidence theory with the negation of reconstructed basic probability assignments (nrBPA). The main motivation is as follows: 1. The authors aim to find . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.