Weighted Evidence Combination Based on Distance of Evidence and Entropy Function
Conflict management in Dempster-Shafer theory (D-S theory) is a hot topic in information fusion. In this paper, a new weighted evidence combination on the basis of the distance between evidence and entropy function is presented. The proposed approach is identified as two procedures. First, the weigh...
Saved in:
Main Authors: | Jianwei Wang, Fuyuan Xiao, Xinyang Deng, Liguo Fei, Yong Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-07-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/155014773218784 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Ranking Procedure by Incomplete Pairwise Comparisons Using Information Entropy and Dempster-Shafer Evidence Theory
by: Dongbo Pan, et al.
Published: (2014-01-01) -
Forearm multimodal recognition based on IAHP‐entropy weight combination
by: Chaoying Tang, et al.
Published: (2023-01-01) -
Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India
by: Nguyen Duc Dam, et al.
Published: (2022-01-01) -
Anaphoric Distance in Oral and Written Language: Experimental Evidence
by: Berfin Aktaş, et al.
Published: (2022-12-01) -
Fault diagnosis method based on time domain weighted data aggregation and information fusion
by: Yu Zhang, et al.
Published: (2019-09-01)