A Behavioral and Relational Integrated Decision-Making Method Using 2-Tuple Linguistic Neutrosophic Sets

Since the beginning of college music majors curriculum teaching, its activities have featured multiple influencing factors and intricate operational dynamics. Teaching quality is shaped by internal and external teaching conditions as well as every phase of the teaching process and bears a close connection to talent cultivation quality. College music majors teaching quality evaluation based on data analysis falls into the multi-attribute group decision-making category. Current studies have applied exponential interactive multicriteria decision making and grey relational analysis to address such complex decision-making issues. To fully capture the inherent uncertainties in educational quality evaluation, this research adopts 2-tuple linguistic neutrosophic sets as the basic information representation framework and proposes an integrated 2-tuple linguistic neutrosophic numbers–exponential interactive multicriteria decision making–grey relational analysis method tailored for multi-attribute group decision-making under 2-tuple linguistic neutrosophic set contexts. Its practicality and validity are verified via a carefully constructed numerical example for college music majors teaching quality evaluation.