Carrying out the capability evaluation and construction of combat support units is an important support for the formation of system capabilities under the informatization condition.Compared with the capability assessment at the level of combat support equipment,the implementation of capability assessment for sub-units will encounter many difficulties,such as more qualitative assessment indicators,strong fuzziness of evaluation criteria,etc.Fuzzy reasoning method has obvious advantages in solving the above problems.Through the steps of fuzzy set assignment,fuzzy modeling of input values, establishment of fuzzy reasoning rules,construction of synthetic fuzzy sets,and defuzzification processing,a fuzzy reasoning-based capability evaluation method for combat support units is established.The method can be easily understood by military personnel and has important military application value.

The detection of the space-based infrared warning system usually dwells on the infrared images processing. A new detection method based on least squares support vector machine (LSSVM) combining spectral dimension information is discussed by analyzing the spectral dimension data and the low signal to noise ratio. Artificial bee colony algorithm is used to optimize the kernel function and regularization parameters, using F measure function as the fitness value. A LSSVM classifier is designed under small training set conditions, using the plume infrared spectrum of four typical missile types as training samples. The detection effect shows that the model of artificial bee colony algorithm optimization achieves better results compared with grid search algorithm, particle swarm optimization and genetic algorithm especially under low signal to noise ratio.

In view of the incomplete evaluation of the underlying indicators and the operational action plan, based on evidence reasoning method, starting from the required capability of operational action, a belief rule base is built, and the multiple types of uncertainty data are converted into a unified belief structure. The results of the evaluation of the operational action plan are obtained by means of evidence reasoning.