Table 7 Results and ranking of influence degree analysis.

From: Identifying key influencing factors of cross-regional railway infrastructure interconnection: a fuzzy integrated MCDM framework

Factor

Di

Ranking

Ci

Ranking

Mi

Ranking

Ri

Factor attributes

A1

3.39747

1

2.5964

4

5.99387

1

0.80107

Cause factor

A2

2.91049

4

2.9835

1

5.89399

2

−0.07301

Effect factor

C2

3.03345

3

2.73176

3

5.76521

3

0.30169

Cause factor

B3

2.78806

5

2.82313

2

5.61119

4

−0.03507

Effect factor

A5

3.14955

2

2.21764

10

5.36719

5

0.93191

Cause factor

C1

2.58805

7

2.11383

13

4.70188

6

0.47422

Cause factor

B6

2.77446

6

1.88385

16

4.65831

7

0.89061

Cause factor

B4

2.09972

10

2.5311

5

4.63082

8

−0.43138

Effect factor

B2

2.27606

8

2.34647

8

4.62253

9

−0.07041

Effect factor

A4

1.95808

12

2.40883

7

4.36691

10

−0.45075

Effect factor

A3

2.20432

9

2.09592

14

4.30024

11

0.1084

Cause factor

C3

2.03271

11

2.17343

11

4.20614

12

−0.14072

Effect factor

B5

1.69194

14

2.43671

6

4.12865

13

−0.74477

Effect factor

B1

1.75527

13

2.22908

9

3.98435

14

−0.47381

Effect factor

A6

1.5701

15

2.14123

12

3.71133

15

−0.57113

Effect factor

C4

1.41782

16

1.93467

15

3.35249

16

−0.51685

Effect factor