Research on the foreign language teaching effectiveness evaluation with intuitionistic fuzzy information

Abstract

Colleges and universities in our country keep on enlarging the number of new students. As a result, a serious of problems appears. Under such circumstances, the topic of education effectiveness becomes a very hot issue. In colleges and universities, classroom instruction still is the main teaching method. Its effectiveness, to a large extent, reflects and determines the education quality of colleges and universities. And, teacher's classroom instruction is the most important part, which determines the fostering level of talents, affects teachers and students' life quality. Hence, evaluation of teacher's classroom instruction effectiveness of colleges and university has a very important influence on propelling teacher's teaching reform and improving the education quality. In this paper, we investigate the multiple attribute decision making with intuitionistic fuzzy information. Motivated by the ideal of dependent aggregation, we develop the dependent intuitionistic fuzzy Einstein weighted average(DIFEWA) operator, in which the associated weights only depend on the aggregated intuitionistic fuzzy arguments and can relieve the influence of unfair intuitionistic fuzzy arguments on the aggregated results by assigning low weights to those “false” and “biased” ones and then apply them to develop some approaches for multiple attribute decision making with intuitionistic fuzzy numbers. Finally, an illustrative example for evaluating the foreign language teaching effectiveness is given to verify the developed approach and to demonstrate its practicality and effectiveness.