A novel career prediction method based on fuzzy model-Fuzzy clustering approach
1School of Education Science, Nanjing Normal University, Nanjing 210097, China; Jiangsu Vocational Institute of Commerce, Nanjing 211168, China.
Acta Psychologica
|August 28, 2025
Summary
This study introduces a novel fuzzy model for career prediction, enhancing decision-making for individuals and hiring for companies. The model demonstrates superior accuracy compared to existing methods, improving career choices and recruitment outcomes.
Area of Science:
- Psychology
- Computer Science
- Career Development
Background:
- Effective career decision-making is crucial for workplace competitiveness and optimal hiring.
- Career prediction tools aid individuals in understanding professions, assessing risks, and boosting confidence.
- Existing methods for career prediction face challenges with uncertainty and complex data.
Purpose of the Study:
- To develop and evaluate a fuzzy model for enhanced career prediction.
- To leverage fuzzy logic's ability to handle uncertainty in career decision-making.
- To improve the accuracy and efficiency of matching individuals with suitable occupations.
Main Methods:
- Applied a fuzzy model incorporating vocational interests and personality traits (RIASEC codes).
- Utilized fuzzy clustering to manage numerous input variables and simplify fuzzy rule determination.
- Compared the fuzzy model's prediction accuracy against profile and machine learning methods.
Main Results:
- The fuzzy model demonstrated higher prediction accuracy than traditional profile and machine learning approaches.
- Fuzzy clustering effectively addressed the 'fuzzy rule explosion' problem.
- The model successfully mapped individual vocational interests and personality traits to fitting occupations.
Conclusions:
- The proposed fuzzy model offers a more accurate and scientific approach to career prediction.
- Fuzzy modeling provides a robust framework for handling the inherent uncertainties in career choice.
- This method can significantly assist individuals in making informed career decisions and employers in recruitment.
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