Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
A combinatorial approach to evaluating employment competitiveness in university student: Integrating AHP and FKCM clustering algorithms
View through CrossRef
This study explores the employment competitiveness of computer science majors by integrating combinatorial mathematics into the evaluation process. Utilizing the Analytic Hierarchy Process (AHP) and the improved FKCM clustering algorithm, we construct a hierarchical model to assess the impact of entrepreneurial education, learning motivation, and investment on job competitiveness. Data from 314 participants were analyzed using combinatorial techniques to derive optimal weightings for each factor, ensuring the evaluation model’s robustness. The results highlight significant gender differences in practical and feedback-based entrepreneurship education, with males outperforming females. However, no notable differences were observed in job interest, learning motivation, or overall employment competitiveness.
Combinatorial Press
Title: A combinatorial approach to evaluating employment competitiveness in university student: Integrating AHP and FKCM clustering algorithms
Description:
This study explores the employment competitiveness of computer science majors by integrating combinatorial mathematics into the evaluation process.
Utilizing the Analytic Hierarchy Process (AHP) and the improved FKCM clustering algorithm, we construct a hierarchical model to assess the impact of entrepreneurial education, learning motivation, and investment on job competitiveness.
Data from 314 participants were analyzed using combinatorial techniques to derive optimal weightings for each factor, ensuring the evaluation model’s robustness.
The results highlight significant gender differences in practical and feedback-based entrepreneurship education, with males outperforming females.
However, no notable differences were observed in job interest, learning motivation, or overall employment competitiveness.
Related Results
Research on the Evaluation and Influencing Factors of China’s Provincial Employment Quality Based on Principal Tensor Analysis
Research on the Evaluation and Influencing Factors of China’s Provincial Employment Quality Based on Principal Tensor Analysis
The research on the quality of employment in China holds immense significance for attaining high-quality employment development. Firstly, enhancing the quality of employment facili...
The Kernel Rough K-Means Algorithm
The Kernel Rough K-Means Algorithm
Background:
Clustering is one of the most important data mining methods. The k-means
(c-means ) and its derivative methods are the hotspot in the field of clustering research in re...
Clustering Analysis of Data with High Dimensionality
Clustering Analysis of Data with High Dimensionality
Clustering analysis has been widely applied in diverse fields such as data mining, access structures, knowledge discovery, software engineering, organization of information systems...
STRATEGY FOR MANAGING REGIONAL COMPETITIVENESS DEVELOPMENT
STRATEGY FOR MANAGING REGIONAL COMPETITIVENESS DEVELOPMENT
Abstract. The studies of economists are mostly devoted to the issues of ensuring the proper level of competitiveness of the country and finding ways to increase Ukraine's competiti...
Manufacturing Industry Resource Endowment Index and Its Big Data Model
Manufacturing Industry Resource Endowment Index and Its Big Data Model
This study aims to demonstrate the application of big data models in the evaluation of manufacturing competitiveness across different countries and economic entities. It involves a...
Labor Adjustment Dynamics in Brazilian Manufacturing
Labor Adjustment Dynamics in Brazilian Manufacturing
In this paper we investigate the dynamics of labor adjustment at the firm level in Brazilian manufacturing, using information on average hours per worker to measure employment devi...
Image clustering using exponential discriminant analysis
Image clustering using exponential discriminant analysis
Local learning based image clustering models are usually employed to deal with images sampled from the non‐linear manifold. Recently, linear discriminant analysis (LDA) based vario...
Research on the Evaluation and Influencing Factors of China's Provincial Employment Quality Based on Principal Tensor Analysis
Research on the Evaluation and Influencing Factors of China's Provincial Employment Quality Based on Principal Tensor Analysis
This study aimed to use spatiotemporal tensor data to measure the level of employment quality in China's provinces and analyzed the magnitude and direction of its influencing facto...