• DocumentCode
    3020774
  • Title

    Analyzing the Characteristics of Fuzzy Synthetic Decision Methods on Evaluating Student´s Academic Achievement An Empirical Investigation of Junior High School Students in Taiwan

  • Author

    Hsieh, Ching-Sen ; Wu, Chih-Hung ; Huang, Tao ; Chen, Yu-Wen

  • Author_Institution
    Changhua He-Cyun Junior High Sch., Changhua, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    491
  • Lastpage
    495
  • Abstract
    Since Taiwan began promoting its educational reforms in earnest in 1998, although the idea of diversity in evaluation is proposed as significant, it overlooks the significance of explaining evaluation results. In terms of the traditional method, it can only use traditional averages and convert them to rankings, but this does not provide further explanatory information, and it is impossible to proceed with more reasonable evaluations, decisions, and interpretations for the learning achievements of students, and provide a fair and appropriate consideration of the evaluation results. Therefore, this study attempts to introduce the fuzzy concept in actual scores and rankings. Using the synthetic decision method of fuzzy theory, the composite operations are used in conjunction with the membership function, and finally fuzzy means are used to express the diverse evaluation results of students. This study hopes to provide grade calculation methods that are suited to students with different characteristics, in order to achieve diverse and precise ranking evaluations. This study uses junior high school first year students in central Taiwan as research subjects, selecting the actual mid-term exam results of the gifted class as research data. The fuzzy synthetic decision method is applied through composite operations, proposing a ranking system that is more diverse and precise than the traditional average method. Results of this study can be used as a reference for educators in the field and future researchers.
  • Keywords
    decision theory; education; fuzzy set theory; fuzzy synthetic decision method; junior high school student; student ranking evaluation; students academic achievement evaluation; Artificial intelligence; Computational intelligence; Conducting materials; Diversity methods; Educational institutions; Educational technology; Fuzzy set theory; Fuzzy systems; Humans; Testing; composite operation; fuzzy theory; synthetic decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.467
  • Filename
    5376279