Journal of Resource Management and Decision Engineering 3 Serial Number 7 2024 06 01 Design of a Fuzzy Expert System for Measuring the Satisfaction of E-Mathematics Learners (Case Study: Farhangian University of Mazandaran) Design of a Fuzzy Expert System for Measuring the Satisfaction of E-Mathematics Learners (Case Study: Farhangian University of Mazandaran) 1 12 EN Journal Article 2024 03 20 <p>The issue of student satisfaction with e-learning systems plays a critical role in their academic performance as well as in the success and effectiveness of this educational domain. In this study, a fuzzy expert system was designed using MATLAB software to measure the satisfaction level of e-mathematics learners at Farhangian University of Mazandaran. This fuzzy expert system included four input variables—technical quality of the system and technological infrastructure, educational quality, information and content quality, and service quality—extracted from the theoretical literature of the study; one output variable—e-mathematics learner satisfaction; trapezoidal and triangular membership functions; 50 rules developed based on the input of eight purposively selected experts from Farhangian University; and the centroid defuzzification method. All input and output variables of this system were normalized and converted to a range between 0 and 1, and using the input values, satisfaction levels were estimated with an error margin of less than 0.15. Considering the strong ability of this fuzzy expert system to estimate the satisfaction of e-learners, and given its design based on criteria, sub-criteria, and their relative importance according to ranking results used as input variables, it can provide significant support to educational system managers by enabling timely tracking of feedback and problems in proportion to their level of importance, thereby increasing the satisfaction of e-mathematics learners.</p> https://journalrmde.com/index.php/jrmde/article/download/172/176