基于多层次模糊综合评判的自主学习能力评价系统研究与设计

Research and Design of Autonomous Learning Ability Evaluation System Based on Multi-level Fuzzy Comprehensive Evaluation

针对影响自主学习能力的因素较多和群体评价的数据量较大等问题,论文基于模糊数学理论进行了自主学习能力评价的模型研究和系统设计。首先,通过分析影响自主学习能力的主因素和子因素,建立了自主学习能力评价系统的指标体系;其次,考虑到自主学习能力评价中的不确定因素和因素集的层次关系,建立了基于多层次模糊综合评判的能力评价模型;最后根据各模块功能对评价系统进行了设计。实验表明自主学习能力评价系统能快速准确地给出评判结果并与实际情况相符。

Aiming at the problem of not easily evaluated autonomous learning ability for many influence factors and group data, evaluation model is researched and evaluation system is designed in this paper. Firstly, by analyzing the main factors and sub-factors, index system is built for ability evaluation Secondly, considering the uncertain elements and the hierarchical relationship, multi-level fuzzy comprehensive evaluation model is given Finally, evaluation system is designed according the function of every module. Experiments show the evaluation system of autonomous learning ability can rapidly supply a right result which can be in correspondence to the reality.