Neutrosophic-Based Enhanced Framework for Multi-Attribute Decision-Making Using Single-Valued Neutrosophic Sets in Evaluating Quality of University General Education Courses
Keywords:
multiple-attribute decision-making; single-valued neutrosophic sets (SVNSs); power geometric (PG); quality evaluation of university general education coursesAbstract
The quality evaluation of university general education courses is a process that
comprehensively assesses aspects such as teaching effectiveness, content design, teacher
qualifications, and student feedback. Its purpose is to ensure that the courses effectively enhance
students' overall competencies, such as critical thinking, communication skills, and social
responsibility. Through a scientific evaluation system, course design can be optimized, teaching
methods improved, and overall educational quality enhanced, fostering students' all-round
development. The quality evaluation of university general education courses is useful MADM.
The single-valued neutrosophic sets (SVNSs) is useful approach to administrate fuzzy information
during the quality evaluation of university general education courses. Currently, the Aczel-Alsina
operations and power geometric (PG) approach was administrated to put forward the multipleattribute decision-making (MADM). In this study, the single-valued neutrosophic number AczelAlsina power geometric (SVNNAAPG) approach is administrated in light with Aczel-Alsina
operations and PG approach and SVNSs. The SVNNAAPG approach is administrated for MADM.
Finally, numerical example for quality evaluation of university general education courses is
administrated to conduct the SVNNAAPG approach. The major contributions of this work are
tackled: (1) Aczel-Alsina operations and PG approach are enhanced under SVNSs; (2)
SVNNAAPG approach is administrated in light with Aczel-Alsina operations and PG approach;
(3) SVNNAAPG approach is tackled for MADM with SVNSs; (4) Finally, numerical example for
quality evaluation of university general education courses is administrated to conduct the
SVNNAAPG approach
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