Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65684
Title: A fuzzy TOPSIS for assessing higher vocational education development levels in uncertainty environments
Authors: Li, X
Chen, K
Ruan, J
Shi, C
Keywords: Development level assessment
Fuzzy number comparison
Fuzzy TOPSIS
Higher vocational education
Optimism degrees
α-cut
Issue Date: 2016
Publisher: IOS Press
Source: Journal of intelligent and fuzzy systems, 2016, v. 31, no. 6, p. 3083-3093 How to cite?
Journal: Journal of intelligent and fuzzy systems 
Abstract: It has an important practical significance to assess the higher vocational education development level in one specific region, but few effective methods are reported in the literature. Based on the practical challenges, we propose a fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) for assessing higher vocational education development levels. Firstly, in order to deal with decision-makers' preferences on interval numbers, we develop a preference-based fuzzy number comparison method and then integrate it with the classic TOPSIS method to formulate a fuzzy TOPSIS method. An application example shows the effectiveness of the work and observes the impact of decision-makers' preferences on the assessment results. Several insights are also found to improve the assessment process in the real world.
URI: http://hdl.handle.net/10397/65684
ISSN: 1064-1246
EISSN: 1875-8967
DOI: 10.3233/JIFS-169194
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

WEB OF SCIENCETM
Citations

1
Last Week
1
Last month
Citations as of Jan 20, 2018

Page view(s)

31
Last Week
1
Last month
Citations as of Jan 21, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.