Research on Comprehensive Evaluation Model for Aeroengine Alternative Schemes Based on Multi-Source Data Fusion

During the demonstration phase of the aeroengine alternative schemes, the evaluation of alternative schemes plays a critical role in determining the most viable options. However, the complexity and diversity of evaluation factors pose challenges to traditional evaluation methods. To tackle this issue, integrating pertinent data from diverse sources is imperative for analysis to identify the optimal scheme. A comprehensive evaluation model combing fuzzy mathematics theory and analytic hierarchy process (AHP) has been established to integrate quantitative and qualitative factors. Firstly, a comprehensive evaluation index system for aeroengines in the demonstration stage is established. Secondly, utilizing fuzzy mathematics theory, the unified processing of quantitative and qualitative indicators from multiple data sources is completed. Thirdly, employing the Analytic Hierarchy Process (AHP), weight coefficients of evaluation indicators at each level are determined. Finally, the weighted sum of each indicator is calculated step by step to derive the comprehensive evaluation results for each alternative scheme. A case study is conducted to demonstrate the effectiveness of the proposed model in evaluating aeroengine alternative schemes. By comparing the evaluation results with the PUGH matrix method, it is demonstrated that this comprehensive evaluation model is not only reasonable and feasible but also possesses higher credibility. The model established for alternative schemes in this study serves as a crucial foundation for the scientific selection of the optimal scheme in the demonstration stage.