A fuzzy inference system to predict personalized career planning and entrepreneurial intention of sports college students

Career decisions made by the students in higher education are usually grounded on personal interests and entrepreneurial hopes especially in cases where they start their own businesses. Motivation, skills, and compatibility with business opportunities are the key factors to their future professional success. This paper introduces Futuristic Career Planning Process (FCPP) that uses students distinct traits, such as their abilities, models of companies and their intentions of becoming an entrepreneur to offer them personalized career guidance. FCPP is uniquely based on a combinational fuzzy inference system, which is designed to accommodate the multi-dimensional and subjective student inputs in the process of assessing the effect of student attributes on career success and business sustainability measures as a result of real-time datasets. The system dynamically separates stable and sustainable models in different entrepreneurial situations that make it very applicable among college athletes. The major metrics of validation, such as assessment time, model degradation, and model inference overhead, are shown to be more efficient and reliable: evaluation time dropped by 11.59, model degradation by 9.54, and inference overhead dropped by 9.42, whereas the evaluation alignment and model replication gained improvements of 9.19 and 8.73, respectively. The suggested framework guarantees individualized, evidence-based, and resilient career planning that aligns the desires of students with their feasible results.