Target threat level assessment technology based on cloud model and Bayesian revision in air combat simulation

摘要

The real-time performance and correctness of the target threat level assessment is very important in air combat simulation. In order to solve the problem of target threat level assessment caused by the fuzziness and uncertainty of battlefield information collection, the target threat assessment technology based on cloud model and Bayesian revision is proposed. Using fuzzy description, battlefield situation is expressed in many qualitative concepts, and then these qualitative concepts are expressed and processed using cloud model related theory, and through Bayesian revision on the membership clouds obtained depending on experts' experience which evaluated qualitative concepts, the staff gauges clouds were obtained. Finally the cloud diagram of target threat assessment was obtained through battlefield situation information matching the staff gauges clouds, and threat level assessment was realized. The description of battlefield situation with qualitative concept and membership clouds achieve a good integration in fuzziness and uncertainty, which reflect fuzziness and uncertainty when obtain information in air combat. Qualitative and quantitative concepts descriptions do not need precision battlefield situation data in target threat level assessment using cloud model. An example was given to validate the target threat level assessment technology based on cloud model, and the results indicate that threat level assessment can be realized availably by this technology.