Conflicting evidence fusion using a correlation coefficient-based approach in complex network
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DOI: 10.1016/j.chaos.2023.114087
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References listed on IDEAS
- Yifan Liu & Tiantian Bao & Huiyun Sang & Zhaokun Wei, 2021. "A Novel Method for Conflict Data Fusion Using an Improved Belief Divergence Measure in Dempster–Shafer Evidence Theory," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-15, October.
- Du, Yuxian & Lin, Xi & Pan, Ye & Chen, Zhaoxin & Xia, Huan & Luo, Qian, 2023. "Identifying influential airports in airline network based on failure risk factors with TOPSIS," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
- Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
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- Sepestanaki, Mohammadreza Askari & Rezaee, Hamidreza & Soofi, Mohammad & Fayazi, Hossein & Rouhani, Seyed Hossein & Mobayen, Saleh, 2024. "Adaptive continuous barrier function-based super-twisting global sliding mode stabilizer for chaotic supply chain systems," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
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Keywords
Dempster–Shafer evidence theory; Conflicting evidence fusion; Correlation coefficient; Complex network; Information fusion;All these keywords.
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