模糊逻辑在大学生择优专业中的应用

Aseel Abdalnabi, Suhad Daraghmeh, Amjad Hawash
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引用次数: 0

摘要

目前,专业化是用人单位经营高水平业务质量的要求。此外,这对员工的职业稳定和自我提升也很重要。因此,大学提供了许多专业课程,这使得新生很难选择最适合自己资格的学习课程。这项工作涉及考虑到一系列标准,如学业成绩、兴趣、生活水平和收入,为学生提供最适合的大学课程。利用模糊逻辑建立一个推荐系统,将大学的学术课程与学生的标准集进行匹配,以生成最适合学生的课程。在工作结束时进行的测量工作准确性的实验测试反映了良好的结果,它在参与者的专业选择中出现了良好的百分比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Logic in Suggesting The Appropriate University Major for Students According to Their Preferences
Currently, professional specialization is requested by employers to run high-level business quality. Moreover, it is important for employees for career stability and self-improvement. As a result, universities provide a lot of specialized programs that make it hard for new students to select the most appropriate study program that fits well their qualifications. This work is related to suggesting the most suitable university program for students taking into account a set of criteria such as academic achievement, interests, standard of living, and income. Fuzzy logic is used to build a recommendation system to match university academic programs and the set of students' criteria in order to generate the most suitable programs for students. The experimental test that measures the amount of accuracy of the work is conducted at the end of the work reflects promising results were it emerges a good percentage in the correct selection of majors with respect to the participants.
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