A FUZZY LOGIC–BASED MODEL FOR ASSESSING EMPLOYABILITY SKILLS IN HIGHER EDUCATION: PREPARING STUDENTS FOR EMERGING JOB MARKETS
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HEIs must show their graduates are "career-ready" while also preparing them for fast-changing labor markets due to technology, demographics, and green transitions. The World Economic Forum’s 2025 Future of Jobs Report predicts a net job increase with displacements from job restructuring by 2030; this demands measuring employability skill development integrated into curricula. The ILO’s report on generative AI also posits that the impact will be task reconfiguration which implies the sustained need for interpersonal skills such as communication, teamwork, critical thinking, professionalism, and ethical judgment (Bridgstock, 2009).
This study introduces a Fuzzy Logic-Based Employability Readiness Index (ERI) for measuring graduates’ employability in higher education as interpreting linguistic terms (like low, medium, or high). Fuzzy set theory applies to the uncertainty of grading to partial memberships (0–1) in skill categories, and rule-based inference(s) combines evidence leading to transparent quality control, advising, and curriculum improvements (Cronbach, 1951). The model incorporates the eight competencies of NACE Career Readiness Competencies and corresponds to the outcome-based
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Singh, O. I. (2026). A Fuzzy Logic–Based Model for Assessing Employability Skills in Higher Education: Preparing Students for Emerging Job Markets. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.260
Singh, Okram. "A Fuzzy Logic–Based Model for Assessing Employability Skills in Higher Education: Preparing Students for Emerging Job Markets." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.260.
Singh, Okram. "A Fuzzy Logic–Based Model for Assessing Employability Skills in Higher Education: Preparing Students for Emerging Job Markets." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.260.
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