Fuzzy Comprehensive Evaluation Model of Core Competitiveness of Universities Based on Information Fusion

Author

Song, Yunfeng ; Liu, Fuming

Author_Institution

Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China

Volume

1

fYear

2009

fDate

18-19 July 2009

Firstpage

35

Lastpage

37

Abstract

Nowadays, higher education in our country shows the characteristics of popularization, internationalization and demand diversification. It is necessary to evaluate the competitiveness of universities and then nurture and enhance the competitiveness. In this article, the author constructs a model of fuzzy comprehensive evaluation based on membership transformation with the entropy-based data mining method. Through mining the data information of objective classification hidden in the membership of parameters and introducing the distinguishable weight, it better solves the interference problem of the redundant data. An example of the evaluation model for competitiveness of a university is presented, which indicates that the model is convenient and feasible and that the result of assessment is objective and reliable.

Keywords

data mining; educational administrative data processing; educational institutions; entropy; fuzzy set theory; core competitiveness; demand diversification; entropy-based data mining method; fuzzy comprehensive evaluation model; higher education; information fusion; interference problem; membership transformation; redundant data; universities; Conference management; Data mining; Educational institutions; Eigenvalues and eigenfunctions; Engineering management; Fuzzy sets; Information entropy; Information processing; Interference; Reliability engineering; competitiveness of universities; fuzzy comprehensive evaluation; membership transformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on

Conference_Location

Shenzhen

Print_ISBN

978-0-7695-3699-6

Type

conf

DOI

10.1109/APCIP.2009.17

Filename

5196989