Cite
A novel method to information fusion in multi-source incomplete interval-valued data via conditional information entropy: Application to mutual information entropy based attribute reduction.
MLA
Li, Zhaowen, et al. “A Novel Method to Information Fusion in Multi-Source Incomplete Interval-Valued Data via Conditional Information Entropy: Application to Mutual Information Entropy Based Attribute Reduction.” Information Sciences, vol. 658, Feb. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.ins.2023.120011.
APA
Li, Z., Liu, J., Peng, Y., & Wen, C.-F. (2024). A novel method to information fusion in multi-source incomplete interval-valued data via conditional information entropy: Application to mutual information entropy based attribute reduction. Information Sciences, 658, N.PAG. https://doi.org/10.1016/j.ins.2023.120011
Chicago
Li, Zhaowen, Jianming Liu, Yichun Peng, and Ching-Feng Wen. 2024. “A Novel Method to Information Fusion in Multi-Source Incomplete Interval-Valued Data via Conditional Information Entropy: Application to Mutual Information Entropy Based Attribute Reduction.” Information Sciences 658 (February): N.PAG. doi:10.1016/j.ins.2023.120011.