Classification of Electromagnetic Targets Based on Vague Clustering

For evaluating the electromagnetic situation effectively, it is very necessary to research a clustering method for classifying electromagnetic targets. Firstly, a new similarity measure method of vague set based on the median membership and imprecision membership is proposed, which can take the whole evidences information and imprecision information into consideration together. Secondly, a new vague clustering method is present by utilizing the knowledge and experience of domain experts, which can scan the structured Boolean matrices row by row, so it can realize the clustering classification easily. Thirdly, choosing five electromagnetic targets in a certain electromagnetic environment, and adopting the vague clustering method put forward above for classification, the calculation results has shown the feasibility of electromagnetic targets classification based on the proposed vague clustering.