Risk Assessment for the Intelligent Application of Unmanned Equipment Based on Combined Weighting and Fuzzy Comprehensive Evaluation

Unmanned equipment has been increasingly widely applied in the military field, however while enhancing mission execution effectiveness, its intelligent features such as autonomous perception and autonomous decision-making also hide many potential risks, which may lead to mission failure or even threaten personnel safety. This paper first analyzes in-depth the risk factors of the intelligent application of unmanned equipment, and constructs a comprehensive risk assessment index system; then, adopts the combined weighting method which integrates the unilateral normal density gradient mapping method and the entropy weight method to determine the weight of each indicator; finally, adopts the fuzzy comprehensive evaluation method to obtain scientific assessment conclusions. The research results can provide a methodological reference for assessing the risks of the intelligent application of unmanned equipment, and further provide theoretical support for the tactical deployment, optimization and improvement of unmanned equipment.