Grey Relation-Based Decision-Making Approach to Man-Machine Cooperative Combat

In this paper, facing incomplete information, in order to solve tactical decision-making problem of man-machine cooperative combat, an independent tactical decision-making approach to man-machine cooperative combat based on gray interval relative theory is proposed. This method first focuses on the requirements of combat missions, incomplete information model is established, decision-making elements are selected, and decision-making reasoning rule base is also established, and then, in accordance with the theory of gray interval relative, a tactical decision-making model for man-machine cooperative combat is constructed, and with the unknown target weights, the grey incidence analysis method is used to construct the multi-object optimization model, of which the target weights expression and the weights can be determined. In addition, an effective conflict resolution algorithm is designed, so that comprehensive evaluation values and ranking of solutions can be obtained. The example is utilized to validate the feasibility and effectiveness of the proposed approach.