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

Table 3

Ranking table of HRs evaluation survey results.

Serial number	Indicator variable	Total score	The average score	Serial number	Indicator variable	Total score	The average score
1	Intelligence	3845	8.57	16	Professionalism	29.5	6.59
2	Ability to work	3727	8.45	17	Management ability	2801	6.35
3	Professional knowledge and skills	3702	8.4	18	Judgment	2740	6.21
4	Research innovation	3678	8.34	19	Work motivation	2692	6.11
5	Interpersonal communication	3619	8.2	20	Thinking ability	2665	6.04
6	Knowledge structure	3608	8.18	21	Personality	2535	5.75
7	Knowledge	3589	8.16	22	Observation	2428	5.51
8	Communication	3494	7.92	23	Imagination	2340	5.3
9	Sense of responsibility	3462	7.78	24	Creativity	2332	5.29
10	Knowledge	3378	7.65	25	Style of working	2270	5.15
11	Theoretical level	3326	7.54	26	Collaborative spirit	2213	5.02
12	Work attitude	3281	7.43	27	Aggressive attitude	2150	4.87
13	Knowledge update	3182	7.21	28	Health status	1974	4.47
14	Ideological and moral	3116	7.06	29	Age	1705	3.86
15	Professional ethics	3098	7.02	30	Gender	1360	3.08