Table 6 Improved recognition results after data fusion.
From: Research on the construction of weaponry indicator system and intelligent evaluation methods
Neural network | Credibility \(\theta_{i}\) | Evidence | (\(p_{i} (F_{1}\)), \(p_{i} (F_{2}\)), \(p_{i} (F_{3}\)), \(p_{i} (F_{4}\)), \(p_{i} (F_{5}\)), \(p_{i} ({\Theta }\)) |
|---|---|---|---|
\(B_{1}\) | 0.8621 | \(U_{1}\) | (0.0000, 0.6614, 0.1976, 0.0524, 0.0059, 0.0827) |
\(B_{2}\) | 0.6814 | \(U_{1}\) | (0.1825, 0.1923, 0.0000, 0.3183, 0.0964, 0.2105) |
\(B_{3}\) | 0.7235 | \(U_{1}\) | (0.1461, 0.4029, 0.2436, 0.0000, 0.0318, 0.1756) |
\(B_{4}\) | 0.7463 | \(U_{1}\) | (0.1721, 0.4417, 0.0108, 0.0000, 0.0928, 0.2826) |
\(B_{5}\) | 0.4922 | \(U_{1}\) | (0.1825, 0.2923, 0.1176, 0.2571, 0.0000, 0.1505) |
\(B_{6}\) | 0.8142 | \({\text{U}}_{1}\) | (0.0000, 0.3761, 0.0814, 0.0569, 0.1781, 0.3075) |
\(B_{7}\) | 0.6619 | \(U_{1}\) | (0.1112, 0.4009, 0.0926, 0.1080, 0.0000, 0.2873) |
\(B_{8}\) | 0.7867 | \(U_{1}\) | (0.1722, 0.0990, 0.0000, 0.4343, 0.0618, 0.2327) |
\(B_{9}\) | 0.9021 | \(U_{1}\) | (0.3841, 0.0000, 0.1015, 0.0913, 0.2614, 0.1617) |
