Fuzzy comprehensive evaluation of higher education quality based on multi-layer BP neural network

Key Points

• The fuzzy comprehensive evaluation method improves the assessment of higher education quality with a structured approach.
• A multi-layer BP neural network accurately analyzes various quality indicators, enhancing decision-making.
• The analysis incorporates diverse metrics to represent educational performance and outcomes comprehensively.
• Fuzzy logic enables the handling of uncertainties in educational quality assessment, indicating possible benefits for policy making.