DocumentCode
226416
Title
The prioritization for higher education institutions performance criteria with Fuzzy Analytical Hierarchy Process
Author
Wongsathan, R. ; Khaothawirat, A. ; Khuankaew, W.
Author_Institution
Electr. & Comput. Eng. Dept., North-Chiangmai Univ., Chiangmai, Thailand
fYear
2014
fDate
6-11 July 2014
Firstpage
1395
Lastpage
1401
Abstract
This research is an investigation of criteria for making a decision of quality in the higher education institutions. The multi-criteria decision was used to achieve the progressive of quality in the university. Fuzzy Analytical Hierarchy Process (FAHP) is applied for these multi-criteria to select the highest prioritizing criteria for achieving the goal of quality institution which can tolerate vagueness and uncertainty of human judgment. The hierarchy consists of 9 main criteria and 44 sub-criteria, recognized by Office of the Higher Education Commission Ministry of Education Thailand, correspond with those main criteria and 6 alternatives from the experts under each sub-criterion. The sensitivity analysis has made by changing the membership function, from triangular membership function to trapezoidal membership function, the studied also changed membership number. However the result of this hypothesis has shown that none of functions variation has impacted the main criteria and alternative. The comparison of preference score and priority of each criterion between FAHP and AHP has the same results.
Keywords
analytic hierarchy process; educational institutions; further education; operations research; quality management; sensitivity analysis; FAHP; Ministry of Education Thailand; Office of the Higher Education Commission; fuzzy analytical hierarchy process; higher education institutions performance criteria; membership number; multicriteria decision; prioritizing criteria; quality decision making criteria; quality institution; sensitivity analysis; trapezoidal membership function; triangular membership function; Analytic hierarchy process; Art; Communities; Educational institutions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891531
Filename
6891531
Link To Document