Study on accurate evaluation of network distance education quality based on analytic hierarchy process

In order to overcome the problems of low evaluation accuracy and low fitting degree of evaluation model existing in traditional methods, a new accurate evaluation method of network distance education quality based on analytic hierarchy process was proposed. Data mining method is used to obtain quality evaluation data of network distance education, and fuzzy neural network is used to normalise the mined data. The evaluation system of education quality was established, and all indicators were compared pairwise by AHP. Meanwhile, the comparison results were transformed into a comparative judgement matrix, and the calculation results of index weights were obtained, so as to construct an accurate evaluation model of education quality. The experimental results show that the evaluation accuracy of the proposed method is high, and the fitting accuracy of the evaluation model is more than 95%, and the fitting time is always kept below 15 s.