[1]曹起武. 学生软件项目质量的模糊评价研究[J].计算机技术与发展,2016,26(02):43-46.
 CAO Qi-wu. Fuzzy Evaluation Research on Quality of Student Software Projects[J].,2016,26(02):43-46.
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 学生软件项目质量的模糊评价研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
43-46
栏目:
智能、算法、系统工程
出版日期:
2016-02-10

文章信息/Info

Title:
 Fuzzy Evaluation Research on Quality of Student Software Projects
文章编号:
1673-629X(2016)02-0043-04
作者:
 曹起武
 辽宁机电职业技术学院 信息工程系
Author(s):
 CAO Qi-wu
关键词:
 学生软件项目多属性决策语言评价模糊集排序
Keywords:
 student software projectsmultiple attribute decision makinglinguistic evaluationfuzzy setranking
分类号:
TP311.1
文献标志码:
A
摘要:
 学生学习成果的评价是教学过程中十分重要的环节之一。传统的试卷等评价方式可以比较准确地得出分数,而对于一些类似作品、项目等成果则很难给出客观的分数。针对计算机软件类专业学生软件项目的质量评价问题,文中展开了基于多属性模糊评价方法的评价研究。根据不同属性的特性进行设计,并采用相应的评语集合来评价各学生软件项目。通过建立基准评语集合把来自不同评语集合的语言属性评价值转化为基准评语集合的模糊集,实现了不同评语集合之间的可比性,并进一步将它们有效集成,从而得出各学生软件项目的综合评价值以及它们的排序。最后,通过一个实际算例来说明根据模糊集方式设计的评价方法,可以对学生的软件项目给出一个比较客观、准确的评价。
Abstract:
 The evaluation of students’ learning achievement is one of the most important links in the teaching process. It is accurate to get the score by means of traditional evaluation methods like paper tests. But for some similar works,projects and results,it is difficult to give an objective score. In order to evaluate the quality of the student software projects for computer software professional,propose the fuzzy e-valuation research based on multiple attributes. According to the respective characteristics of the different attributes,the appropriate lin-guistic evaluation sets are designed for assessing the projects. The basic linguistic evaluation set is designed,based on which various lin-guistic evaluation terms from different sets are all transformed into the fuzzy sets over it. Thus,various linguistic evaluation terms from different sets are comparable, and further integrated for calculating the overall values of the projects. In addition, the rankings of the student software projects can be obtained. Finally,an example is used for illustrating that an objective and accurate evaluation can be given to the students according to the evaluation of fuzzy set design.

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更新日期/Last Update: 2016-04-15