Aiming at the uncertain and multi-attribute decision making problem of radar equipment testability evaluation， a radar equipment testability evaluation index system is constructed according to equipment characteristics and testability requirements. The improved fuzzy analytical hierarchy process （FAHP） and entropy weight method are used to assign subjective and objective weights to the evaluation indexes. In the evaluation model， the relative entropy is used to replace the Euclidean distance of the technique for order preference by similarity to ideal solution method （TOPSIS）， and the rank-sum ratio method （RSR） is introduced. The improved TOPSIS-RSR method is used to grade and rank the testability of the alternatives， and the effectiveness of the model is verified by an example analysis.

The complex battlefield electromagnetic environment is an important element of the modern battlefield. It is important to master its connotation and characteristics to improve battlefield perception， weapon effectiveness， and survivability. The complex battlefield electromagnetic environment research has great application value for weapon capability. The basic concepts and research status of complex battlefield electromagnetic environment is summarized. The study of complex battlefield electromagnetic environment is summarized as electromagnetic environment description， monitoring， measurement and construction， and weapon adapt-ability test in two aspects of cognitive research and application research， and these five contents are discussed respectively. Finally， the future research direction and trend of complex battlefield electromagnetic environment are prospected

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.