A novel career prediction method based on fuzzy model—Fuzzy clustering approach

Bibliographic Data

ID9405600
AuthorsLi Zhang (0000-0002-4441-5131, Nanjing Normal University, corresponding author), Xueying Gu (Nanjing Normal University)
Year2025
Volume259
Pages105475-105475
Publication date2025-08-27
Open AccessYes
TypeARTICLE
VenueActa Psychologica (JOURNAL)
Journal identifiersISSN: 0001-6918 • E-ISSN: 1873-6297
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.actpsy.2025.105475
PMID40876335
OpenAlexW4413753522
LanguageEN
Citations received1
References cited55

Effective career decision-making strategies can help individuals enhance their competitiveness in the workplace, and assist companies in hiring more suitable employees. As an auxiliary tool for career decision-making, career prediction helps individuals to understand the professional world, assess career risks, broaden their career horizons, boost their career confidence, and ultimately make scientific career decisions. This study applied a fuzzy model for career prediction as it has the advantage of dealing with uncertainties, and can approximate the actual system with arbitrary accuracy. It divided individuals' sample data into occupational membership and vocational aspiration for employment and unemployment, respectively. Each sample data point included an individual's scores on 20 vocational interest items, 6 RIASEC scaled scores and their actual RIASEC code. Based on Holland's vocational interest theory, a fuzzy model's input and output variables are individuals' vocational interests and personality traits, respectively. As each personality trait corresponds to certain suitable occupations, a fuzzy model's prediction output will suggest the most fitting jobs for individuals. Moreover, to avoid the 'fuzzy rule explosion' problem when dealing with numerous input variables, fuzzy clustering is applied in fuzzy space partitions. As fuzzy clustering can automatically determine the number of fuzzy rules, it simplifies the fuzzy modelling process. When the fuzzy model-based career prediction method is compared with the profile and machine learning methods, the results show that the proposed career prediction fuzzy model has better prediction accuracy

Cluster analysis · Data mining · Fuzzy clustering · Fuzzy logic · Machine learning · AI and HR Technologies · Artificial Intelligence · Computer Science · Engineering Education and Technology · Psychology

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Open DOIOpen Access