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) started to evaluate the higher education institutions through five predefined items, including (1) university goal, (2) university governance and management, (3) teaching and learning resource, (4) performance and society responsibility, and (5) improvement and quality assurance mechanism. In this chapter, we present a novel Fuzzy Markup Language (FML)-based fuzzy ontology and its application to university assessment for National University of Tainan (NUTN), Taiwan. The proposed fuzzy ontology model is utilized to represent the university evaluation and accreditation domain knowledge predefined by domain experts. 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 pass level of the university assessment.
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Wang, MH. et al. (2013). Applying FML-Based Fuzzy Ontology to University Assessment. In: Acampora, G., Loia, V., Lee, CS., Wang, MH. (eds) On the Power of Fuzzy Markup Language. Studies in Fuzziness and Soft Computing, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35488-5_8
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DOI: https://doi.org/10.1007/978-3-642-35488-5_8
Publisher Name: Springer, Berlin, Heidelberg
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