PMID- 34203135
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210726
IS  - 1099-4300 (Electronic)
IS  - 1099-4300 (Linking)
VI  - 23
IP  - 7
DP  - 2021 Jun 28
TI  - Conflict Data Fusion in a Multi-Agent System Premised on the Base Basic 
      Probability Assignment and Evidence Distance.
LID - 10.3390/e23070820 [doi]
LID - 820
AB  - The multi-agent information fusion (MAIF) system can alleviate the limitations of 
      a single expert system in dealing with complex situations, as it allows multiple 
      agents to cooperate in order to solve problems in complex environments. 
      Dempster-Shafer (D-S) evidence theory has important applications in multi-source 
      data fusion, pattern recognition, and other fields. However, the traditional 
      Dempster combination rules may produce counterintuitive results when dealing with 
      highly conflicting data. A conflict data fusion method in a multi-agent system 
      based on the base basic probability assignment (bBPA) and evidence distance is 
      proposed in this paper. Firstly, the new bBPA and reconstructed BPA are used to 
      construct the initial belief degree of each agent. Then, the information volume 
      of each evidence group is obtained by calculating the evidence distance so as to 
      modify the reliability and obtain more reasonable evidence. Lastly, the final 
      evidence is fused with the Dempster combination rule to obtain the result. 
      Numerical examples show the effectiveness and availability of the proposed 
      method, which improves the accuracy of the identification process of the MAIF 
      system.
FAU - Liu, Jingyu
AU  - Liu J
AD  - School of Big Data and Software Engineering, Chongqing University, Chongqing 
      401331, China.
FAU - Tang, Yongchuan
AU  - Tang Y
AUID- ORCID: 0000-0003-2568-9628
AD  - School of Big Data and Software Engineering, Chongqing University, Chongqing 
      401331, China.
LA  - eng
GR  - 2020YFB1711900/the National Key Research and Development Project of China/
PT  - Journal Article
DEP - 20210628
PL  - Switzerland
TA  - Entropy (Basel)
JT  - Entropy (Basel, Switzerland)
JID - 101243874
PMC - PMC8308205
OTO - NOTNLM
OT  - Dempster-Shafer evidence theory
OT  - base basic probability assignment
OT  - multi-agent information fusion
OT  - uncertainty
COIS- The authors declare no conflict of interest.
EDAT- 2021/07/03 06:00
MHDA- 2021/07/03 06:01
PMCR- 2021/06/28
CRDT- 2021/07/02 01:16
PHST- 2021/05/27 00:00 [received]
PHST- 2021/06/21 00:00 [revised]
PHST- 2021/06/22 00:00 [accepted]
PHST- 2021/07/02 01:16 [entrez]
PHST- 2021/07/03 06:00 [pubmed]
PHST- 2021/07/03 06:01 [medline]
PHST- 2021/06/28 00:00 [pmc-release]
AID - e23070820 [pii]
AID - entropy-23-00820 [pii]
AID - 10.3390/e23070820 [doi]
PST - epublish
SO  - Entropy (Basel). 2021 Jun 28;23(7):820. doi: 10.3390/e23070820.