基于群组G2-TOPSIS的高校教师招聘模型

University Teacher Recruitment Model Based on Group G2-Topsis

首先从知识素质、个人能力、职场个性、求职动机四个方面建立高校教师测评指标体系。为减弱单一专家个人因素的干扰,体现群体决策的智慧,引入群组G2赋权法对指标进行赋权。然后利用TOPSIS评价方法建立评价模型,根据优属度的高低选择最佳方案。最后通过算例与其它算法模型进行比较,结果表明该模型可在一定程度上减少高校教师招聘过程中的随意性,得出较为客观的结论。

Firstly,the evaluation index system of university teachers is established from four aspects:knowledge quality,personal ability,career personality and job hunting motivation.In order to reduce the interference of individual factors of a single expert and reflect the wisdom of group decision-making,the group G2 weighting method is introduced to weight the indicators.Then the TOPSIS evaluation method is used to establish the evaluation model,and the best scheme is selected according to the degree of superior membership.Finally,an example is given to compare this article's algorithm model with other models,the results show that the model in this article can reduce the randomness of the recruitment process of university teachers to a certain extent,and draw a more objective conclusion.