• DocumentCode
    2378480
  • Title

    Fuzzy markup language for university assessment

  • Author

    Lee, Chang-Shing ; Wang, Mei-Hui ; Su, Ming-Kai ; Wu, Nai-Yun ; Liu, Che-Hung ; Tseng, Yu-Yang ; Wang, Yuan-Liang ; Wang, Hui-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    954
  • Lastpage
    959
  • Abstract
    The goal of higher education evaluation and accreditation is to ensure that education provided by institutions meets acceptable levels of quality. In 2011, the higher education evaluation and accreditation council of Taiwan (HEEACT) starts to evaluate the eighty-one higher education institutions through five predefined items, including (1) university goal, (2) university administration and management, (3) teaching and learning resource, (4) performance and society responsibility, and (5) improvement and quality assurance mechanism. As a result, in this paper, a novel fuzzy markup language (FML)-based university assessment system is developed to infer the passing possibility of the university assessment. Additionally, a fuzzy ontology model is utilized to represent the university evaluation and accreditation domain knowledge predefined by domain experts. Then, the FML is adopted to describe the knowledge base and rule base of the university assessment. Simulation results indicate that the proposed approach can effectively infer the passing level of the university assessment.
  • Keywords
    educational institutions; fuzzy reasoning; fuzzy systems; ontologies (artificial intelligence); accreditation domain knowledge; domain experts; fuzzy markup language; fuzzy ontology model; higher education accreditation; higher education evaluation; higher education institution; quality assurance mechanism; university administration; university assessment system; university evaluation; university goal; Accreditation; Educational institutions; Fuzzy sets; Knowledge based systems; Markup languages; Ontologies; Fuzzy Markup Language; Fuzzy Ontology; Knowledge Management; University Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083792
  • Filename
    6083792