Currently available methods for inputting mathematical expressions are counter-intuitive and require knowledge of keywords. In this paper we present a recognition system for handwritten mathematics, with the goal of enabling users to enter mathematics in the customary fashion. Our approach centres around the use of fuzzy logic, with fuzzy rules being used to extract features, classify symbols, and assess spa- tial relationships. Taking advantage of the fuzzy informa- tion available, our structural analysis algorithm weighs up which candidate symbol identities and spatial relationships are worth exploring, and maintains numerous possible ex- pression trees. The most likely tree is ultimately chosen as the result. The system has achieved high recognition rates on a database of expressions written by multiple users.