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The influence of X fuzzy mathematical method on basketball tactics scoring

Yue Wang
Yue Wang
 y 
Alaa Omar Khadidos
Alaa Omar Khadidos
   | 22 nov 2021
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Publicado en línea: 22 nov 2021
Páginas: 353 - 362
Recibido: 17 jun 2021
Aceptado: 24 sept 2021
DOI: https://doi.org/10.2478/amns.2021.2.00057
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© 2021 Yue Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Basketball tactics scoring and evaluation hierarchy analysis model.
Basketball tactics scoring and evaluation hierarchy analysis model.

Fig. 2

Principle of AHP. AHP, analytic hierarchy process.
Principle of AHP. AHP, analytic hierarchy process.

Judgment matrix of the importance of indicators.

Pass and catch Shot dribble Offensive rebound Break with the ball
Pass and catch 1 1/2 5 6 6
Shot 2 1 6 5 7
Dribble 1/5 1/6 1 1/5 3
Offensive rebound 1/6 1/5 5 1 4
Break with the ball 1/6 1/7 1/3 1/4 1
Steal the ball 1/7 1/8 1/5 1/3 1/2
Defensive rebound 1/4 1/4 5 2 4
Defensive opponent 1/2 1/3 6 5 6
Play ball 1/8 1/9 1/6 1/7 1/5

Test of structural validity of questionnaire

Content validity Very reasonable More reasonable General Not reasonable Unreasonable
Frequency 4 6 2 0 0
Percentage 33.30% 50.00% 16.70% 0 0

Comprehensive score and ranking.

Indicator name Weight coefficient Zhang Chao Wang Wei Clever Dai Peng Sun Xiaojie
Pass and catch 0.198037 70 70 60 70 60
Shot 0.225612 70 90 60 75 60
Dribble 0.079883 85 60 60 75 60
Offensive rebound 0.10562 60 70 85 70 60
Break with the ball 0.046674 90 75 60 85 60
Steal the ball 0.034089 70 85 80 85 60
Defensive rebound 0.1291 80 80 85 80 60
Defensive opponent 0.169627 80 75 90 90 60
Play ball 0.011348 50 60 60 70 60
overall ratings 73.92 76.57 71.72 77.51 60.06
Rank 9 5 13 4 15

Target weight calculation results.

Aims Weights WI
Pass and catch 0.198037
Shot 0.225612
Dribble 0.079883
Offensive rebound 0.10562
Break with the ball 0.046674
Steal the ball 0.034089
Defensive rebound 0.1291
Defensive opponent 0.169627
Play ball 0.011348

Basic situation of experts conducting validity evaluation

Job title Professor Associate professor Total
Number of people 4 8 12

Statistics on the distribution and recovery of questionnaires

Number of issues Number of recycling Recovery rate Effective number Efficient
12 12 100% 12 100%

Test of the content validity of the questionnaire

Content validity Very reasonable More reasonable General Not reasonable Unreasonable
Frequency 4 7 1 0 0
Percentage 33.30% 58.40% 8.30% 0 0

Test of the overall design validity of the questionnaire

Content validity Very reasonable More reasonable General Not reasonable Unreasonable
Frequency 1 10 1 0 0
Percentage 8.30% 83.40% 8.30% 0 0

RI value changes with the matrix order n.

Matrix order n 3 4 5 6 7 8 9 10 11 12
RI value 0.52 0.89 1.12 1.26 1.36 1.41 1.46 1.49 1.52 1.54
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