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Table 2 Fusion results with different combination rules

From: Conflict management based on belief function entropy in sensor fusion

Combination rule Fusion results
  \(\left\{ {m_1,m_2} \right\}\) \(\left\{ {m_1,m_2,m_3} \right\}\) \(\left\{ {m_1,m_2,m_3,m_4} \right\}\) \(\left\{ {m_1,m_2,m_3,m_4,m_5} \right\}\)
Dempster m(A) = 0 m(A) = 0 m(A) = 0 m(A) = 0
m(B) = 0.8969 m(B) = 0.6575 m(B) = 0.3321 m(B) = 0.1422
m(C) = 0.1031 m(C) = 0.3425 m(C) = 0.6679 m(C) = 0.8578
Yager m(A) = 0 m(A) = 0.4112 m(A) = 0.6508 m(A) = 0.7732
m(B) = 0.2610 m(B) = 0.0679 m(B) = 0.0330 m(B) = 0.0167
m(C) = 0.0300 m(C) = 0.0105 m(C) = 0.0037 m(C) = 0.0011
m(AC) = 0 m(AC) = 0.2481 m(AC) = 0.1786 m(AC) = 0.0938
\(m(\Theta )=0.7090\) \(m(\Theta )=0.2622\) \(m(\Theta )=0.1339\) \(m(\Theta )=0.1152\)
Murphy m(A) = 0.0964 m(A) = 0.4619 m(A) = 0.8362 m(A) = 0.9620
m(B) = 0.8119 m(B) = 0.4497 m(B) = 0.1147 m(B) = 0.0210
m(C) = 0.0917 m(C) = 0.0794 m(C) = 0.0410 m(C) = 0.0138
m(AC) = 0 m(AC) = 0.0090 m(AC) = 0.0081 m(AC) = 0.0032
Deng et al. m(A) = 0.0964 m(A) = 0.4674 m(A) = 0.9089 m(A) = 0.9820
m(B) = 0.8119 m(B) = 0.4054 m(B) = 0.0444 m(B) = 0.0039
m(C) = 0.0917 m(C) = 0.0888 m(C) = 0.0379 m(C) = 0.0107
m(AC) = 0 m(AC) = 0.0084 m(AC) = 0.0089 m(AC) = 0.0034
Zhang et al. m(A) = 0.0964 m(A) = 0.5681 m(A) = 0.9142 m(A) = 0.9820
m(B) = 0.8119 m(B) = 0.3319 m(B) = 0.0395 m(B) = 0.0034
m(C) = 0.0917 m(C) = 0.0929 m(C) = 0.0399 m(C) = 0.0115
m(AC) = 0 m(AC) = 0.0084 m(AC) = 0.0083 m(AC) = 0.0032
Proposed method m(A) = 0.2849 m(A) = 0.8274 m(A) = 0.9596 m(A) = 0.9886
m(B) = 0.5306 m(B) = 0.0609 m(B) = 0.0032 m(B) = 0.0002
m(C) = 0.1845 m(C) = 0.0986 m(C) = 0.0267 m(C) = 0.0072
m(AC) = 0 m(AC) = 0.0131 m(AC) = 0.0106 m(AC) = 0.0039