透過您的圖書館登入
IP:18.189.186.214
  • 期刊

Assessment of High School Academic Performance Based on Intuitionistic Fuzzy TOPSIS Decision Making Method

摘要


In traditional summative assessment, according to the original score accumulation method, it is difficult to reflect the hierarchical nature of the questions under the same question type, and students often have the same score, which unilaterally reflects the real level of students and other defects. This paper adopts intuitionistic fuzzy TOPSIS. First of all, the weight set of corresponding indicators is determined by AHP, then the membership degree fuzzy matrix is determined by intuition fuzzy set through expert assessment, and the closeness degree is determined by TOPSIS decision‐making method. Finally, students' scores are weighted. The feasibility of this method in educational assessment is verified by taking the mathematics quiz results of some students in a senior middle school in Jiangsu Province as an example. The results show that the calculation of intuitionistic fuzzy TOPSIS is simple and practical, and the assessment results are relatively consistent with the actual situation. In the future educational assessment, this method can be extended to the selection of talents in multi‐disciplines or comprehensive disciplines.

參考文獻


Zhang Z Z, Qi W X.lnformation technology in educational assessment: empowerment, challenges and solutions[J].Distance Education in China,2021(03):1-11+76.DOI:10.13541/j.cnki.chinade.2021.03.001.
lI J, Zhu G H.Design and lmplementation of an Adaptive Examination System Based on ltem Response Theory for Information Technology Fundamentals[J].Journal of Xinjiang Normal University(Natural Sciences Edition),2021,40(01):10-17. DOI:10.14100/j.cnki.1008-9659.2021.01.002.
SAATY TL.How to make a decision: the analytic hierarchy process[J. European Journal of Operational Research,1990,48(1): 9-26.
Yu D J, Xu Z S et al. Analysis of Knowledge Flow and Thematic Evolution in Analytic Hierarchy Process[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2021,23(04):75-82.DOI:10.14071/j.1008-8105(2021)-1054.
Xu Z S, Chen J. An overview of distance and similarity measures of intuitionistic fuzzy sets[J].International Journal of Uncertainty,Fuzziness and Knowledge-Based Systems,2008,16(4): 529-555

延伸閱讀