The goal of higher education evaluation and accreditation is to ensure that education provided by institutions meets acceptable levels of quality. In 2011, the higher education evaluation and accreditation council of Taiwan (HEEACT) starts to evaluate the eighty-one higher education institutions through five predefined items, including (1) university goal, (2) university administration and management, (3) teaching and learning resource, (4) performance and society responsibility, and (5) improvement and quality assurance mechanism. As a result, in this paper, a novel fuzzy markup language (FML)-based university assessment system is developed to infer the passing possibility of the university assessment. Additionally, a fuzzy ontology model is utilized to represent the university evaluation and accreditation domain knowledge predefined by domain experts. Then, the FML is adopted to describe the knowledge base and rule base of the university assessment. Simulation results indicate that the proposed approach can effectively infer the passing level of the university assessment.