In order to realize the quantitative management of the quality of higher education, this paper puts forward an evaluation model of auxiliary employability of special people under the concept of public employment service based on AHP-FUZZY algorithm. The phase space distribution structure model of special people’s auxiliary employability under the concept of public employment service is constructed, the index parameter set of special people’s auxiliary employability under the concept of public employment service is established, the fuzzy association rule distribution set is constructed by principal component analysis and fuzzy parameter estimation, and the association rule characteristic quantity of special people’s auxiliary employability under the concept of public employment service is extracted. Advanced statistical analysis methods, such as principal component analysis, big data fusion analysis and fuzzy detection model, are adopted to classify the multi-dimensional attribute features of special people’s auxiliary employability under the concept of public employment service, and the data is partitioned and scheduled in the fuzzy clustering center according to the differences of statistical feature parameters of employability analysis reports, and the feature decomposition model of special people’s auxiliary employability under the concept of public employment service is constructed. The auxiliary employability of special people under the concept of public employment service is fused by blocks and the regional structural parameters are reorganized. The binary structural characteristics of auxiliary employability analysis of special people under the concept of public employment service are reconstructed in the subspace fusion database. According to the reconstruction results, fuzzy clustering is carried out under principal component analysis and fuzzy parameter estimation, and the optimal evaluation of auxiliary employability of special people under the concept of public employment service is realized. Based on SPSS statistical analysis software and Matlab simulation tool, the empirical simulation analysis of the evaluation shows that the characteristic clustering of the evaluation of the auxiliary employability of special population under the concept of public employment service is good, the reliability of the evaluation is high, and the parameter analysis of the evaluation index of the auxiliary employability of special population is accurate and reliable.