Affiliations: [a] General Graduate School, Dongshin University, Naju, Jeollanam-do Province, Republic of Korea
| [b] Department of Sports and Leisure, Dongshin University, Naju, Jeollanam-do Province, Republic of Korea
| [c] Department of Physical Education, Hanyang University, Seoul, Republic of Korea
Correspondence:
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Corresponding author. Sung-Pil Chung, Department of Sports and Leisure, Dongshin University, Naju, 58245, Jeollanam-do Province, Republic of Korea. E-mail: chungsp888@163.com.
Abstract: With the continuous improvement of modern basketball technology, higher requirements have been put forward for the personal abilities of basketball players. As the core of an organization, the offensive ability of a defender largely determines the team’s performance. Therefore, it is necessary to objectively evaluate the attacking ability of defenders. Traditional techniques cannot objectively reflect the true level of players due to their strong subjectivity. Therefore, establishing a scientific evaluation technique is particularly important. The fuzzy comprehensive evaluation of attack ability of basketball defenders is viewed as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) technique is designed with help of cross-entropy and triangular fuzzy neutrosophic sets (TFNSs). Furthermore, Then, TFNN-CE technique is addressed to solve the MADM. Finally, a numerical example for fuzzy comprehensive evaluation of attack ability of basketball defenders is given and some comparisons are conducted to r illustrate advantages of the designed technique. The main contribution of this paper is addressed: (1) The TFNN-CE technique is addressed under TFNSs; (2) the TFNN-CE technique is addressed for MADM under TFNSs; (2) the TFNN-CE technique for fuzzy comprehensive evaluation of attack ability of basketball defenders is addressed; (3) Through the several efficient comparisons, it is addressed that TFNN-CE technique is effective for fuzzy comprehensive evaluation of attack ability of basketball defenders.
Keywords: Multiple attribute decision making (MADM), triangular fuzzy neutrosophic sets (TFNSs), cross-entropy technique, TFNN-CE technique, attack ability of basketball defenders
