According to the needs of performance evaluation of intelligent radar information processing， the performance evaluation index system of intelligent radar information processing was constructed from three technologies including target detection， target recognition， and residual clutter suppression. The attribute hierarchy model was improved by replacing the proportion scale with the score scale， and the index system was weighted by the improved attribute hierarchy model. In the evaluation model， the grey correlation analysis method was introduced， and the grey correlation coefficient was used to replace the Euclidean distance. The improved technique for order preference by similarity to the ideal solution method was used to rank the performance of different intelligent radar schemes， and the optimal intelligent radar technology scheme was screened out. The effectiveness of this method was verified by the working data of intelligent radars.

In order to improve the scientific nature of index weighting in radar equipment reliability evaluation， in view of the problem of subjective weighting method relies too much on individual experience， and objective weighting method collects less data， resulting in inaccurate objective weighting results， the improved analytic hierarchy process （AHP） and entropy weight method are used to assign the indexes to the subjective and objective weights respectively. The least square method is used to couple the subjective and objective weights， and the Lagrange method is used to solve the model， which effectively avoids the limitation of single weight. The feasibility of the method is verified by an example.

In order to avoid the backtracking operation of AO* algorithm and Rollout algorithm， and to overcome the problem of poor optimality of information entropy algorithm， and achieve the purpose of fault detection and isolation of equipment with low test cost， a diagnostic strategy construction method combining one-step and multi-step optimization is proposed. Based on the similarity between diagnostic strategy construction and noiseless coding， a one-step or multi-step optimal search method is selected according to the probability distribution of the fault state fuzzy set. When the fault with the highest probability in the fuzzy set of fault states meets certain conditions， it is prioritized for isolation and the corresponding test sequence is generated so that the fault with higher priori probability has less test steps and costs, so as to reduce the overall cost of diagnosis. Through the analysis and verification of examples， the concrete process of constructing the diagnostic strategy is given， and the effectiveness of the method is proved.