Evaluation of Air Combat Control Ability Based on Eye Movement Indicators and Combination Weighting GRA-TOPSIS

Abstract

At present, expert scoring is mainly used to evaluate the air combat control ability, which is not accurate enough to effectively achieve the desired effect. In order to evaluate air battle managers’ air combat control ability more scientifically and accurately, using eye-tracking technology, a quantitative evaluation model is established based on eye movement indicators. Specifically, the air combat control ability was comprehensively assessed using the GRA-TOPSIS method based on the EW-CRITIC combination weighting. The model innovatively uses eye movement indicators as a vital evaluation basis. Firstly, it puts forth a comprehensive evaluation method by combining GRA with TOPSIS methods, using the EW and CRITIC methods for combined weighting, and giving full play to the advantages of various evaluation methods. Secondly, it not only effectively copes with the problem that the traditional evaluation method is deeply affected by subjectivity but also creatively provides a reasonable means for future training evaluation of air battle managers. Finally, the effectiveness and feasibility of the evaluation model are verified through case analysis.

Momentum Study Based on CRNN Neural Network and Logistic Regression

“…Based on the existing data, aiming at the problem, we use entropy weight method to objectively empower each indicator, combine Topsis model to quantify the performance of players in the match, and use this model to visualize the game flow [2]. The specific algorithm steps are shown as follows.…”