基于群组G2-TOPSIS的高校教师招聘模型  

University Teacher Recruitment Model Based on Group G2-Topsis

作　　者：信芳 殷仕淑[1] XIN Fang;YIN Shi-shu(School of Management Science and Engineering,Anhui University of Finance&Economics,Bengbu 233041,China)

机构地区：[1]安徽财经大学管理科学与工程学院,蚌埠233041

出　　处：《价值工程》2020年第35期11-14,共4页Value Engineering

基　　金：安徽财经大学研究生科研创新基金项目(ACYC2019220)的研究成果。

摘　　要：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.

关 键 词：群组G2法 TOPSIS评价模型 教师招聘 评价选择 

分 类 号：G647.2[文化科学—高等教育学]