A Fuzzy Logic-Based Decision Support System for Predicting Entrepreneurial Intention Among Textile Students

Abstract

This article presents a fuzzy logic-based decision support system, which functions as a predictive model for assessing and guiding entrepreneurial intention among Moroccan university students in the textile sector. The model used four key variables, namely Desirability, Self-Concept, University Context, and Feasibility. These latter and their influence were identified through a previous ANN model. Fuzzy memberships functions were designed, and 81 expert validated rules were constructed for the fuzzy model. The model provided entrepreneurial scores based on the students’ inputs and was tested on a new 40 student survey responses. Key findings highlighted that desirability and self-concept are critical drivers of entrepreneurial intention, and the results showed an alignment with expert judgments and theoretical models. Furthermore, the model provided personalised recommendations for both students and university and makes clear contributions to both theoretical and practical advancements in the entrepreneurship studies.