DocumentCode
2752550
Title
FML-based knowledge management system for university governance and management assessment
Author
Che-Hung Liu ; Chang-Shing Lee ; Mei-Hui Wang ; Yu-Yang Tseng ; Yi-Ling Kuo
Author_Institution
Dept. of Bus. & Manage., Nat. Univ. of Tainan, Tainan, Taiwan
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
8
Abstract
In Taiwan, the Higher Education Evaluation and Accreditation Council of Taiwan (HEEACT) supported by the Taiwanese Government has also executed a university assessment process annually since 2005. Similar to the process in the United States, the HEEACT holds numerous assessment workshops and develops basic scales to encourage universities to set educational goals, ask themselves tough questions, measure the success in achieving these goals, and answer these questions to drive continuous improvement. In this paper, we use the National University of Tainan (NUTN), Taiwan, as a set of example. Based on the constructed fuzzy ontology, a fuzzy markup language (FML)-based knowledge management system is developed to self-assess NUTN and forecast whether NUTN passes the university assessment or not. Finally, the results of our simulation experiments are similar to HEEACT reviewers´ comments and NUTN fully passed 2011 university assessment in Taiwan.
Keywords
XML; educational administrative data processing; educational institutions; further education; fuzzy set theory; government data processing; knowledge management; ontologies (artificial intelligence); FML-based knowledge management system; HEEACT; Higher Education Evaluation and Accreditation Council of Taiwan; NUTN; National University of Tainan; Taiwanese Government; United States; fuzzy markup language; fuzzy ontology; university governance assessment; university management assessment; Educational institutions; Government; Knowledge based systems; Knowledge management; Markup languages; Ontologies; Fuzzy ontology; fuzzy markup language (FML); knowledge management; university assessment; university governance;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location
Brisbane, QLD
ISSN
1098-7584
Print_ISBN
978-1-4673-1507-4
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZ-IEEE.2012.6251168
Filename
6251168
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