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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.
Abstract: Only by effectively combining online and offline teaching, and vigorously promoting the integration of online and offline teaching in college physical education, can we maximize the reform and innovation of college physical education teaching, and continuously improve teaching quality. Although blended teaching has become one of the important techniques in college physical education teaching and has continuously achieved new results, there are still some problems in the process of organization and implementation that need to be seriously improved. The blended teaching quality evaluation is regarded as the defined multiple-attribute decision-making (MADM). Recently, the CoCoSo and entropy technique was utilized to cope with MADM. The double-valued neutrosophic sets (DVNSs) are utilized as a technique for characterizing fuzzy information during the blended teaching quality evaluation. In this study, CoCoSo is constructed for MADM under DVNSs. Then, the double-valued neutrosophic number CoCoSo (DVNN-CoCoSo) technique is constructed for MADM. Finally, numerical example for blended teaching quality evaluation is put forward to show the DVNN-CoCoSo technique.
Xuan Wen and Changhong Pan, “Enhanced CoCoSo Technique for Sport Teaching Quality Evaluation with Double-Valued Neutrosophic Number Multiple-Attribute Decision-Making” International Journal of Advanced Computer Science and Applications(IJACSA), 15(6), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150657
@article{Wen2024,
title = {Enhanced CoCoSo Technique for Sport Teaching Quality Evaluation with Double-Valued Neutrosophic Number Multiple-Attribute Decision-Making},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150657},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150657},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Xuan Wen and Changhong Pan}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.