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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.<\/jats:p>","DOI":"10.3233\/jifs-152434","type":"journal-article","created":{"date-parts":[[2017,1,17]],"date-time":"2017-01-17T13:22:22Z","timestamp":1484659342000},"page":"543-549","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on the performance evaluation of experiment platforms with 2-tuple linguistic information"],"prefix":"10.1177","volume":"32","author":[{"given":"Shenghan","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Reliability and System Engineering, Beihang University, Beijing, China"}]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Reliability and System Engineering, Beihang University, Beijing, 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