学生综合素质测评指标的模糊识别
   来源:中国科技博览     2021年05月22日 13:26

王辉

[摘 要]本文主要采用了模糊识别的方法对学生综合素质测评的各项成绩之间的相互影响程度进行了计算,为同学们如何全面的发展自我,提高自己的综合测评成绩提供了建议。

[关键词]综合素质 测评 德育 实践 指标 模糊识别

中图分类号:G40-051 文献标识码:A 文章编号:1009-914X(2016)15-0114-02

现在很多高校都采用综合素质测评的方法对在校生的综合表现做出评价。例如笔者所在学校,采用的就是综合测评成绩=学习成绩 60%+德育成绩 20%+实践成绩 20%的方法。学习成绩主要是学生个人每学期所有考试科目成绩的平均分;德育成绩指学生在出勤、卫生、内务等方面的分数,他主要反映了学生个人的学习、生活习惯;实践成绩来自于学生参加社团、班级、学院、社会活动以及获奖情况,属于业余生活范畴。通过观察学生综合测评成绩的统计结果,发现其各分项指标之间以及分项指标与总指标之间都存在一定的关联。现以本校某班为例,以模糊识别的方式进行说明。本校某班级2014-2015学年第一学期学生综合素质测评数据表:

两个模糊集、之间的接近程度可以用贴近度函数来描述,

距离贴近度:。

下面通过计算全班27位同学对应的4个综合素质测评指标之间的贴近度,来分析各综合素质评价指标之间相关程度的大小。首先27位同学对应的4个综合素质评价指标的相对隶属度值经过归一化处理后得到:

(学习成绩)=(0.044,0.040,0.043,0.033,0.030,0.028,0.039,0.035,0.032,0.027,0.029,0.046,0.045,0.041,0.037,0.030,0.038,0.026,0.027,0.033,0.036,0.039,0.043,0.034,0.036,0.042,0.031)

(德育成绩)=(0.042,0.038,0.044,0.035,0.030,0.040,0.038,0.034,0.034,0.032,0.029,0.043,0.045,0.033,0.046,0.029,0.036,0.028,0.043,0.040,0.037,0.039,0.041,0.032,0.036,0.045,0.031)

(实践成绩)=(0.035,0.034,0.040,0.033,0.036,0.036,0.044,0.031,0.032,0.029,0.042,0.046,0.039,0.032,0.041,0.029,0.038,0.028,0.041,0.045,0.043,0.040,0.034,0.030,0.038,0.043,0.037)

(综合成绩)=(0.043,0.039,0.044,0.034,0.032,0.033,0.041,0.035,0.033,0.029,0.032,0.046,0.045,0.038,0.041,0.030,0.038,0.027,0.034,0.038,0.039,0.040,0.042,0.034,0.037,0.044,0.033)

计算结果见下表,

各综合素质评价指标之间的相关程度:

由择近原则可知,模糊集与模糊集,模糊集与模糊集,模糊集与模糊集最贴近。可以认为最贴近的两个模糊集具有紧密的相关关系。从数据可以看出,具有良好的生活、学习习惯,自律性高的同学通常学习成绩也较好。因为学习成绩在总测评中占的比重最高,所以学习成绩好的同学通常总测评也高。而拥有较好习惯的同学其总成绩也往往很好。从数据还可以看出模糊集和模糊集,模糊集和模糊集贴近度较低,从这里也可以看出过多的参加学习以外的活动会影响到学习成绩,从而影响到总测评,而学习成绩好的同学也往往不太喜欢参与到其他活动中,但是这些同学中其实不乏存在一些有潜力的同学,可以鼓励他们抽出一部分精力丰富自己的课余生活。

参考文献:

[1] 刘合香.模糊数学理论及其应用[M].北京:科学出版社,2012.

[2] 罗承忠.模糊集引论(上下册)[M].北京:北京师范大学出版社,1989.

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