Abstract
Making decisions regarding one's professional future requires individuals to receive career counselling, which is a crucial procedure. However, due to the complexity of career- related variables and the subjectivity of people's choices, it mightbedifficult to offer precise and individualized advice. Fuzzy logic is a mathematical framework that has been used to make decisions in a variety of domains because it can handle uncertainty and imprecision. In this study, we present a fuzzy logic-based career advising system that can offer tailored advice to each user. The algorithm makes recommendations based on the degree of alignment between people's choices and various career routes by taking into account several profession-related criteria, including hobbies, abilities, personality traits, and job market trends. Real- world data were used to evaluate the proposed system, and it showed promise results in terms of usability and accuracy. The suggested system might be a useful resource for those looking for career advice, as well as for career counsellors and educational institutions looking to offer individualized and knowledgeable recommendations. Keywords: Expert system, fuzzy logic, question answering, recommendation system, decision making support, real world entities, fuzzy inference engine
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