Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national polic...Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national policy.This paper takes 49 policy documents on science and technology tal-ent evaluation issued by the state from 1978 to 2022 as the object,and uses policy text analysis,word frequency analysis and co-word network analysis to interpret the content of the policies.These policy texts are divided into four stages.200 high-frequency words were extracted from the policies in each stage after word segmentation was made,and the co-word matrixes and co-word networks were constructed for each stage.The research draws the following conclu-sions:1)The content of Chinese science and technology talent evaluation policies is gradually becoming concrete,and the concept of science and technology talent evaluation is gradually clear;2)The policies have transitioned from"scientific and technological development"to"sci-entific and technological innovation";3)The distribution of policies with different strengths is uneven;4)The cooperation between all departments involved in policy formulation is not e-nough.展开更多
In recent years,decision-making under uncertainty has attracted substantial attention in both academia and industry,with a growing number of organizations prioritizing decision support for talent evaluation.Vague set ...In recent years,decision-making under uncertainty has attracted substantial attention in both academia and industry,with a growing number of organizations prioritizing decision support for talent evaluation.Vague set theory has been recognized as a powerful tool to address the ambiguity of problem parameters and manage uncertainty.This paper introduces a novel talent evaluation method that harnesses the potential of vague sets.We construct a vague set Ordered Weighted Averaging(OWA)operator for offering a robust solution to intricate decision-making problems,especially in talent evaluation.The application of the OWA operator augments the decision-making process by providing a mechanism to handle the aggregation of information in a more flexible and comprehensive manner.Experimental results show the effectiveness of the proposed method,presenting an alternative for decision-makers,aiding them in selecting their preferred choices amidst uncertainty.展开更多
文摘Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national policy.This paper takes 49 policy documents on science and technology tal-ent evaluation issued by the state from 1978 to 2022 as the object,and uses policy text analysis,word frequency analysis and co-word network analysis to interpret the content of the policies.These policy texts are divided into four stages.200 high-frequency words were extracted from the policies in each stage after word segmentation was made,and the co-word matrixes and co-word networks were constructed for each stage.The research draws the following conclu-sions:1)The content of Chinese science and technology talent evaluation policies is gradually becoming concrete,and the concept of science and technology talent evaluation is gradually clear;2)The policies have transitioned from"scientific and technological development"to"sci-entific and technological innovation";3)The distribution of policies with different strengths is uneven;4)The cooperation between all departments involved in policy formulation is not e-nough.
基金Supported by the National Natural Science Foundation of China(72271233),Suzhou Key Laboratory of Artificial Intelligence and Social Governance Technologies(SZS2023007)Smart Social Governance Technology and Innovative Application Platform(YZCXPT2023101)。
文摘In recent years,decision-making under uncertainty has attracted substantial attention in both academia and industry,with a growing number of organizations prioritizing decision support for talent evaluation.Vague set theory has been recognized as a powerful tool to address the ambiguity of problem parameters and manage uncertainty.This paper introduces a novel talent evaluation method that harnesses the potential of vague sets.We construct a vague set Ordered Weighted Averaging(OWA)operator for offering a robust solution to intricate decision-making problems,especially in talent evaluation.The application of the OWA operator augments the decision-making process by providing a mechanism to handle the aggregation of information in a more flexible and comprehensive manner.Experimental results show the effectiveness of the proposed method,presenting an alternative for decision-makers,aiding them in selecting their preferred choices amidst uncertainty.
