FML-based type-2 fuzzy ontology for computer go knowledge representation

In this paper, an Fuzzy Markup Language (FML)-based type-2 fuzzy ontology is proposed to represent the computer Go knowledge, including an FML transformation mechanism, a type-2 fuzzy set construction, and a type-2 fuzzy set inference mechanism. The FML transformation mechanism transforms the generated smart game format (SGF) files into an FML-based document to describe the computer Go ontology. The type-2 set construction is responsible for building the type-2 fuzzy sets. Based on the built FML-based document and type-2 fuzzy sets, the type-2 fuzzy set inference mechanism infers the possibility of the game's winning rate. It is hoped that the proposed idea are feasible for inferring the winning rate of the games in the future.