Affiliations: [a]
School of Reliability and System Engineering, Beihang University, Beijing, China
| [b]
School of Economics and Management, Beihang University, Beijing, China
Correspondence:
[*]
Corresponding author. Wenbing Chang, School of Reliability and System Engineering, Beihang University, Beijing 100191, China. Tel./Fax: +86 1082313000; E-mail: 09450@buaa.edu.cn
Abstract: This paper focuses on the multiple attribute decision making problems in evaluation of experiment platforms with 2-tuple linguistic information. The traditional teaching can’t meet the demand of increasing talent training. The requirement of educational quality has been more and higher in the background of the information science development. The modern experiment teaching has some major problems: inadequate funding, carrying experiment teaching in remote and continuing education is difficulty, practice and innovation ability limited by resource. The research design the 2-tuple power Einstein weighted average (2TPEWA) operator for aggregating 2-tuple linguistic information inspired by the idea of power aggregation and Einstein operations. Then the 2TPEWA operator is used to construct the model for multiple attribute decision making with 2-tuple linguistic information. In the end, an example for performance evaluation of experiment platforms is proposed to test the given method and to prove its practicality and effectiveness.
Keywords: Multiple attribute decision making (MADM), 2-tuple linguistic variables, power average operator, 2-tuple power Einstein weighted average (2TPEWA) operator, performance evaluation, experiment platforms
