基于模糊评价矩阵的新高考选科推荐系统

New College Entrance Examination Selection Recommendation System Based on Fuzzy Evaluation Matrix

摘要: 伴随着新高考改革的进展，考生如何选择最适合自身的科目迫在眉睫。本文针对以考生个性化选择为推荐重点，将模糊综合评价法运用于高考选科推荐中，运用协同过滤算法加快高考选科推荐系统的运行，利用会话式交互决策根据职业愿景与大学专业推荐选科。本文设计了一个完整的系统，在系统中将上述的方法运用其中，从而达到比单一成绩因素选科更好的效果。最后，通过在某中学的调查实验，构造模糊矩阵，确定出前5个影响选科的因素，即成绩、兴趣、职业倾向、家庭意愿、学生特质的影响权重，进行选科推荐，达到显著的效果，从而更好的满足考生的多方面需求。

Abstract: With the progress of the new college entrance examination reform, it is urgent for candidates to choose the most suitable subjects for themselves. This paper focuses on the personalized selection of candidates, applies the fuzzy comprehensive evaluation method to the recommendation of the college entrance examination, uses the cooperative filtering algorithm to speed up the operation of the recommendation system of the college entrance examination, and uses the conversational interactive decision-making to recommend the subject selection according to the career vision and the university specialty. This paper designs a complete system, in which the above methods are applied in the system, so as to achieve better results than a single score selection. Finally, the fuzzy matrix is constructed through the investigation experiment in a middle school, and the first five factors affecting the subject selection are identified. Performance, interest, professional tendency, the family will, the influence weight of student’s characteristics, carry on the selection section recommendation, achieve the remarkable effect, thus better satisfy the examinee’s many aspects demand.