Aiming at the problems of rough set \"simplification\" in practical applications, the definition of \"statistical simplification\" and the corresponding attribute search algorithm are proposed. This algorithm is used to simplify the attributes of a water pollution monitoring information table. The results show that compared with the conventional algorithm, the results obtained by this algorithm can cover the largest number of objects and are less likely to mismatch. The causal network model of the above data fusion system is established using the simplified results. Experiments show that while maintaining the search accuracy of the original model, the new model compresses the search space and improves the search efficiency. In addition, in order to facilitate the establishment of the causal network, the rough set expression of the causal connection strength is derived. Keywords: simplification; attribute selection; causal network; multi-sensor fusion
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