<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper combines the nine-factor model with the construction of university think tanks, establishes the strategic positioning of university think tanks, analyzes the methods and measures of cultivating leading talents and innovative talents in university think tanks and classifies the influence of university think tanks into decision-making influence, elite influence and popular influence. Based on the analysis of big data and concerning the fuzzy hierarchical analysis method, the evaluation model of information service quality of university think tanks has been established. The evaluation indexes of the information platform of university think tanks are divided into four indexes: service resources, service content, webpage technology, and service effect. According to the constructed evaluation indexes, two-by-two comparisons are made between each index to obtain the score of the importance of each index. Based on fuzzy mathematics, the qualitative evaluation can be transformed into quantitative evaluation according to the principle of affiliation degree to arrive at the evaluation grade of the information platform capacity of university think tanks and innovative talents.</p>
</abstract>

This paper combines the nine-factor model with the construction of university think tanks, establishes the strategic positioning of university think tanks, analyzes the methods and measures of cultivating leading talents and innovative talents in university think tanks and classifies the influence of university think tanks into decision-making influence, elite influence and popular influence. Based on the analysis of big data and concerning the fuzzy hierarchical analysis method, the evaluation model of information service quality of university think tanks has been established. The evaluation indexes of the information platform of university think tanks are divided into four indexes: service resources, service content, webpage technology, and service effect. According to the constructed evaluation indexes, two-by-two comparisons are made between each index to obtain the score of the importance of each index. Based on fuzzy mathematics, the qualitative evaluation can be transformed into quantitative evaluation according to the principle of affiliation degree to arrive at the evaluation grade of the information platform capacity of university think tanks and innovative talents.

Exploring the Construction of College Think Tank and Cultivation of Innovative Talents Based on Big Data Analysis

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper combines the nine-factor model with the construction of university think tanks, establishes the strategic positioning of university think tanks,...

Exploring the Construction of College Think Tank and Cultivation of Innovative Talents Based on Big Data Analysis

Pubblicato online: 08 nov 2023

Pagine: -

Ricevuto: 27 nov 2022

Accettato: 19 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01036

Parole chiave
Big data analysis, Fuzzy hierarchical analysis, Evaluation indicators, Think tank influence, Innovative talents

© 2023 Song Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the Construction of College Think Tank and Cultivation of Innovative Talents Based on Big Data Analysis

Pubblicato online: 08 nov 2023

Pagine: -

Ricevuto: 27 nov 2022

Accettato: 19 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01036

Parole chiaveBig data analysis, Fuzzy hierarchical analysis, Evaluation indicators, Think tank influence, Innovative talents

© 2023 Song Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Big data analysis, Fuzzy hierarchical analysis, Evaluation indicators, Think tank influence, Innovative talents