不完全信息下的教学质量评价研究

Comprehensive Evaluation of Teaching Quality Using Incomplete Information

教师的教学质量评价是学校教学管理的重要环节和内容,在教学质量评价信息的收集过程中,一方面受评价者本身专业背景与调查时间等主客观原因所限,其所提供的教学质量评价信息极有可能出现不完整现象;另一方面在对评价信息进行集结的过程中,常选用的线性加权求和法所默认的评价因素之间相互独立的条件亦很难满足,针对上述情况,本文选用直觉模糊集的方法对教学质量进行评价,算例表明依据直觉模糊集的相关理论对教学质量进行评价,在保证了较强的实用性的同时,能处理评价信息不完整的情况,最大限度利用已有评价信息,使测评结果更加全面、科学、合理。

The teaching quality evaluation is the key content of the teaching management. It occurs the situation very possibly in the evaluate processes of teaching quality that the estimator can- not make absolutely affirmation and negative judgment to some evaluating factors taking the limitations of both the subjective and objective causes such as different education background ,inade- quate investigation and so on. In addition, the linear weighted method, the most frequently employed method in the aggregation of group information, requires that the related evaluating factors must be independent which is difficult to achieve. To solve the problems in the procedure of evaluation mentioned above, this paper evaluates the teaching quality based on intuitionistic fuzzy sets. The calculation example shows that this method is simple and efficient and is especially suitable for the evaluation of teaching quality under the condition of incomplete information.