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Table 1 Results of the AHP judgment matrix

From: RETRACTED ARTICLE: Research on personal credit evaluation of internet finance based on blockchain and decision tree algorithm

Calculation of the result of judgment matrix

λmax

CI

RI

CR

A

\( W=\left[\begin{array}{c}0.0328\\ {}0.0542\\ {}0.0478\\ {}0.1465\\ {}0.2142\\ {}0.3071\\ {}0.1083\\ {}0.0891\end{array}\right]{\displaystyle \begin{array}{c}{\lambda}_{\mathrm{max}}=8.8120\\ {} CI=0.1160\\ {} RI=1.409\\ {} CR=0.0823\end{array}} \)

B1

\( W=\left[\begin{array}{c}0.6144\\ {}0.2684\\ {}0.1172\end{array}\right] \)

B5

\( W=\left[\begin{array}{c}0.1365\\ {}0.6250\\ {}0.2385\end{array}\right] \)

B1

3.0735

0.0368

0.5200

0.0707

B2

3.0536

0.0268

0.52

0.0515

B2

\( W=\left[\begin{array}{c}0.5278\\ {}0.3325\\ {}0.1396\end{array}\right] \)

B6

\( W=\left[\begin{array}{c}0.1168\\ {}0.6833\\ {}0.1998\end{array}\right] \)

B3

3.0618

0.0197

0.100

0.0478

B4

3.0037

0.0018

0.5000

0.0036

B3

\( W=\left[\begin{array}{c}0.5469\\ {}0.3445\\ {}0.1085\end{array}\right] \)

B7

\( W=\left[\begin{array}{c}0.1220\\ {}0.3296\\ {}0.5584\end{array}\right] \)

B5

3.0183

0.0091

0.5300

0.0176

B6

3.0246

0.0123

0.5200

0.0236

B4

\( W=\left[\begin{array}{c}0.1095\\ {}0.5816\\ {}0.3090\end{array}\right] \)

B8

\( W=\left[\begin{array}{c}0.0936\\ {}0.2797\\ {}0.6267\end{array}\right] \)

B7

3.0183

0.0091

0.4900

0.0178

B8

3.0857

0.0428

0.4900

0.0825

  1. It can be seen that the values of CR are all less than 0.10, so the judgment matrix is considered to have satisfactory consistency