Evidence combination algorithm based on BPA generated by cloud model for gas monitoring
Qian Chen · Journal of Jiangxi University of Science and Technology · 2014
D-S evidence combination can improve overall decision and early warning capability in coal mine gas monitoring system. In this study, the danger levels of local region in coal mine are defined according to coal mine safety specification. Cloud model is used for generating the curve clusters of the membership degrees corresponding to the danger levels. The membership degrees extracted from the curve clusters are regarded as basic probability assignment for D-S evidence combination. The study puts forward a step-by-step combination algorithm mixing D-S method and the weighted average method for severe conflicting evidence combination.The simulation results show that the proposed algorithm has satisfactory convergence effect on severe conflicting evidence combination.