Abstract—Mathematical word problems represent many real world scenarios. Often times found difficult to solve. The reason for their difficulty is because of miscomprehension and the inability to formulate a mathematical representation of the text. In this paper we present a framework based on fuzzy logic – ontology model that interprets a mathematical word problem in natural language and compute a solution. This framework uses ontology as a working memory and search engine to compute the solution. Fuzzy logic is used to determine the confidence of result returned, which could eliminate the confusion for a user trying to determine if the solution provided is correct. The ability to interpret a mathematical word problem and return a detailed solution will help educated users by providing them detailed steps of a solution.
Index Terms—Ontology, fuzzy logic, artificial intelligence, education, e-learning, word computing.
The authors are with School of Computer Science Colorado Technical University Colorado Springs, USA (email: k.morton15@my.cs.coloradotech.edu, yqu@coloradotech.edu).
Cite: Kyle Morton and Yanzhen Qu, "A Novel Framework for Math Word Problem Solving," International Journal of Information and Education Technology vol. 3, no. 1, pp. 88-93, 2013.