A multilevel fuzzy comprehensive evaluation model for test paper quality

Evaluation of test paper quality plays an increasingly important role in education management. But there is no effective approach to implementing it automatically. The paper proposes a multilevel fuzzy comprehensive evaluation model for test paper quality based on education statistics. The model has 2 levels. The first level includes seven basic factors: difficulty, difference, credibility, eligible rate, overlay rate, kurtosis and skewness. The second level includes the degree-3, rate-2 and normality. Degree-3 consists of difficulty, difference and credibility; rate-2 is composed of eligible rate and overlay rate; normality includes kurtosis and skewness. Experiments show that the method can evaluate test paper quality effectively.