Open Access

College students’ innovation and entrepreneurship ability based on nonlinear model

Xue Zhang
Xue Zhang
, 
Siyu Meng
Siyu Meng
, 
Aiiad A. Albeshri
Aiiad A. Albeshri
 and 
Marwan Aouad
Marwan Aouad
   | Dec 15, 2021
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Published Online: Dec 15, 2021
Page range: 285 - 292
Received: Jun 16, 2021
Accepted: Sep 24, 2021
DOI: https://doi.org/10.2478/amns.2021.1.00064
Keywords
© 2021 Xue Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Results of weight comparison.
Results of weight comparison.

Evaluation index system

Target layer Innovation ability A0
Criterion layer Creative thinking ability A1 Innovation ability A2 Scientific and technological innovation achievement A3 Innovative education benefit A4
Index layer Logic analysis ability B11 Practical ability B21 Paper Publication B31 Scholarship B41
Knowledge integration ability B12 Teamwork ability B22 Project Participation B32 Self-employment B42
Question the ability to find problems B13 Communication and coordination ability B23 Technical works B33 Continue to study B43
Abstract thinking ability B14 Writing ability B24 Science and technology project B34
Problem-solving ability B15

Standard-level scale comparison table

Range Scaling Range Scaling
0.1–1 2 4–5 6
1–2 3 5–6 7
2–3 4 6–7 8
3–4 5 7–8 9

Analytic hierarchy process to determine the weight distribution of indicators

Index A1 B11 B12 B13 B14 B15
Sibling weight 0.2929 0.0672 0.0936 0.1446 0.2099 0.4846
Comprehensive weight 0.0197 0.0274 0.0424 0.0615 0.1419
Index A2 B21 B22 B23 B24
Sibling weight 0.4647 0.2094 0.2966 0.4195 0.0742
Comprehensive weight 0.0973 0.1378 0.1949 0.0345
Index A3 B31 B32 B33 B34
Sibling weight 0.0634 0.1155 0.231 0.4901 0.1634
Comprehensive weight 0.0073 0.0146 0.0311 0.0104
Index A4 B41 B42 B43
Sibling weight 0.1791 0.0811 0.342 0.5769
Comprehensive weight 0.0145 0.0613 0.1033

The method of coefficient of variation and game theory to determine the weight distribution of indicators

Index Coefficient of variation Game theory combination Index Coefficient of variation Game theory combination
B11 0.0515 0.0309 B24 0.0496 0.0398
B12 0.0510 0.0357 B31 0.0932 0.0376
B13 0.0503 0.0452 B32 0.0914 0.0417
B14 0.0500 0.0574 B33 0.0879 0.0511
B15 0.0454 0.1079 B34 0.0919 0.0392
B21 0.0458 0.0791 B41 0.1140 0.0496
B22 0.0456 0.1053 B42 0.0461 0.0559
B23 0.0453 0.1421 B43 0.0411 0.0814

Consistency judgment of analytic hierarchy process

Level λmax CR CI
A1–A4 4.098 0.0327 0.0363
B11–B15 5.2534 0.0566 0.0634
B21–B24 4.1213 0.0449 0.0404
B31–B32 4.1213 0.0449 0.0404
B41–B43 3.0291 0.0251 0.0145

Index layer scale comparison table

Range Scaling Range Scaling
<0.1 2 1.5–2 6
0.1–0.5 3 2–2.5 7
0.5–1 4 2.5–3 8
1–1.5 5 3–3.5 9

Average random consistency index value standard

m RI
1–2 0
3 0.58
4 0.9
5 1.12
6 1.24
7 1.32
8 1.41
9 1.45
10 1.49
11 1.51
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