An efficient method for ideological and political education quality evaluation of colleges and universities with 2-tuple linguistic neutrosophic sets

Author:

Liu Jiacheng12,Chau Gavin2,Su Pianpain3

Affiliation:

1. School of Marxism, Guangdong University of Science and Technology, Dongguan, Guangdong, China

2. Faculty of Business, City University of Macau, Macau, China

3. Anqing Open University, Anqing, Anhui, China

Abstract

Improving college students’ satisfaction with the teaching quality of ideological and political theory courses in colleges and universities is the need to promote college students to consciously fulfill their ideological and political quality, and it is also the need to further form a strong driving force for the teaching reform of ideological and political theory courses in colleges and universities. The requirements of teaching level are also the requirements to further enhance the competitiveness of colleges and universities. The ideological and political education quality (IPEQ) evaluation of college students is looked as multiple attribute group decision-making (MAGDM) problem. In this paper, the 2-tuple linguistic neutrosophic TOPSIS (2TLN-TOPSIS) model is built based on the traditional TOPSIS and 2-tuple linguistic neutrosophic sets (2TLNSs). Firstly, the 2TLNSs is introduced. Then, combine the TOPSIS model with 2TLNSs, the 2TLN-TOPSIS model is established for MAGDM. Finally, a numerical example for IPEQ evaluation of College students have been given and some comparisons are also conducted to further illustrate advantages of the 2TLN-TOPSIS method.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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