This paper focus on the problem of materiel battlefield damage assessment,and the damage grade evaluation model is established by applying the basic principle of fuzzy comprehensive evaluation.

First,the problems,which exist in some methods of damage assessment,are poimted out here;seecond, by combining with the modern evaluation theory and analyzing the characteristics of structure of missile equipment,a new method which is suitable for missile equipment battle damage synthetic assessment is given,the missile equipment damage assessment level are also defined here.

On the basis of damage assessment level criteria and analysis of damage elements, evaluation model based on the Bayesian Network is constructed.

In judicial practice, some people only have a vague idea about the differences between the identification of body injury degree and evaluation of body impairment class.

To develop the equipment battlefield damage assessment decision support system,the method of equipment battlefield damage level assessment is researched.

Then the model of group equipment battlefield damage level assessment based on fuzzy membership degree is established.

Ship system damage grade evaluation model based on fuzzy neural network

The damage radius,critical radius and safety radius of surface ship are computed with this method in accordance with several current evaluation criteria of damage grade in our country,some characteristics are discovered based on the result.