Novel evidence combination algorithm for gas monitoring
Qian Chen · Computer Engineering and Applications Journal · 2015
Dempster-Shafer evidence combination can improve overall decision and early warning capability in coal mine gas monitoring system. 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. A step by step combination algorithm is put forward. In this algorithm, D-S method and the weighted averaged method are mixed for severe conflicting evidence combination. The simulation results show that proposed algorithm has satisfactory convergence effect in severe conflicting evidence combination.