The influence of X fuzzy mathematical method on basketball tactics scoring
Publié en ligne: 22 nov. 2021
Pages: 353 - 362
Reçu: 17 juin 2021
Accepté: 24 sept. 2021
© 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.Fig. 2
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 |