| The anti-air combat command decision-aid system is very important to enhance the whole efficiency of anti-air combat and to realize the scientific decision for anti-air combat command. The processing of uncertain information is a hot and hard topic up to now. It mainly includes three parts which are the processing of uncertain information for air-target identification, the situation assessment and the situation forecast. The main research of the article is on the second time air-target identification based on information fusion in air-target identification, the air-target tactical intention inference in situation assessment, and the air-target tactical action type estimate, the air-target movement forecast, the synthetic situation forecast in situation forecast.Aiming at settle the problem of uncertain information processing in air-target identification, a two-level attribute information fusion model based on OWA and CWAA is established, and the air-target is identified by using OWA, CWAA, the difference maxim, and the information entropy. Aiming at settle the problem of uncertain information processing in situation assessment, an air-target tactical intention inference model based on NN—FR is established by fusing neural networks and fuzzy inference. A method to express the fuzzy information in tactical database is presented by using fuzzy concept analysis. A method to mine the fuzzy rule in tactical database based on fuzzy rough set theory is presented by building information system on fuzzy rough set. Aiming at settle the problem of uncertain information processing in situation forecast, an air-target tactical action type estimate model based on template technology is introduced, air-target movement forecast model is established by fusing the grey neural networks forecast model and the self—regression time series AR. In order to fuse information, a synthetic situation forecast model based on radial basis function neural network is established.
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