A Fuzzy Comprehensive Dynamic Evaluation Algorithm for Human Resource Quality Growth Based on Artificial Intelligence

Table 5

Evaluation table for secondary elements.

Serial number	Indicator variable	Judgment level
		h1	h2	h3	h4	h5
1	Intelligence	0.3	0.3	0.2	0.15	0.05
2	Ability to work	0.3	0.3	0.3	0.1	0.1
3	Professional knowledge and skills	0.4	0.2	0.2	0.1	0.1
4	Research innovation	0.2	0.3	0.3	0.1	0.1
5	Interpersonal communication	0.2	0.4	0.3	0.1	0.1
6	Knowledge structure	0.35	0.2	0.3	0.1	0.05
7	Knowledge	0.3	0.3	0.3	0.05	0.1
8	Communication	0.2	0.3	0.3	0.1	0.1
9	Sense of responsibility	0.3	0.3	0.2	0.1	0.1
10	Knowledge	0.3	0.3	0.2	0.1	0.1
11	Theoretical level	0.4	0.2	0.2	0.15	0.05
12	Work attitude	0.3	0.3	0.2	0.1	0.1
13	Knowledge update	0.2	0.3	0.3	0.1	0.1
14	Ideological and moral	0.3	0.3	0.2	0.15	0.05
15	Professional ethics	0.3	0.3	0.3	0.05	0.05