The light machine guns are among the significant fire support guns for the infantry. While the rapid advances in technology are improving the quality, these are also increasing the diversity, increasing the research carried out in the existing institutions and organisations. This is making the decision problem faced during the process complicated as well. To solve such problems, multiple criteria decision making methods are used. In this study, the selection of the light machine guns has been dealt as a multiple criteria decision making problem. To decide about the best machine gun, selection criteria of the best light machine gun is evaluated within a systematic feedback and a model pertaining to using Analytical Network Process (ANP) in the selection of the weapons has been developed. The criteria pertaining to the alternative weapons have been determined, the necessary polls have been prepared and applied, and the results have been achieved using the Super Decisions 1.6.0 package program.