CLVA-Based Framework for College English Translation Teaching Quality Evaluation With 2-Tuple Linguistic Neutrosophic Information

College English teaching is an important component of higher education. The quality of English teaching not only affects students' interest and proficiency in learning English but also influences the cultivation of English professionals in the country. As English translation teaching is one of the core aspects of English education, colleges and universities must take effective measures to improve its quality. The college English translation teaching quality evaluation is multiple attribute group decision making (MAGDM). The 2-tuple linguistic neutrosophic sets (2TLNSs) is an appropriate form to express the indeterminate information in the college English translation teaching quality evaluation. In this paper, the 2-tuple linguistic neutrosophic numbers CLVA (2TLNN-CLVA) is built based on close value (CLVA) method and applies it to evaluate the college English translation teaching quality. Finally, a numerical example for evaluating the college English translation teaching quality was given and some decision comparisons are conducted to illustrate the advantages of 2TLNN-CLVA method.