Table 4 Initial health prediction model for the WSN.

From: A new health prediction model for a sensor network based on belief rule base with attribute reliability

No

Rule weight

Feature

Output distribution

No

Rule weight

Feature

Output distribution

\(AR\)

\(FR\)

\(\{ H,\;M,\;L\}\)

\(AR\)

\(FR\)

\(\{ H,\;M,\;L\}\)

1

1

\(L\)

\(L\)

(1 0 0)

11

1

\(SH\)

\(L\)

(0.2 0.8 0)

2

1

\(L\)

\(SL\)

(0.8 0.2 0)

12

1

\(SH\)

\(SL\)

(0 1 0)

3

1

\(L\)

\(M\)

(0.6 0.4 0)

13

1

\(SH\)

\(M\)

(0 0.8 0.2)

4

1

\(L\)

\(SH\)

(0.5 0.5 0)

14

1

\(SH\)

\(SH\)

(0 1 0)

5

1

\(L\)

\(H\)

(0.4 0.6 0)

15

1

\(SH\)

\(H\)

(0 0.8 0.2)

6

1

\(M\)

\(L\)

(0.35 0.75 0)

16

1

\(H\)

\(L\)

(0 0.9 0.1)

7

1

\(M\)

\(SL\)

(0.2 0.8 0)

17

1

\(H\)

\(SL\)

(0 0.8 0.2)

8

1

\(M\)

\(M\)

(0.1 0.9 0)

18

1

\(H\)

\(M\)

(0 0.5 0.5)

9

1

\(M\)

\(SH\)

(0 0.7 0.3)

19

1

\(H\)

\(SH\)

(0 0.2 0.8)

10

1

\(M\)

\(H\)

(0 0.5 0.5)

20

1

\(H\)

\(H\)

(0 0 1)