A fuzzy framework with modeling language for type 1 and type 2 application development

Fuzzy logic, Type-1 and Type-2, is well suited for human systems interactions because they provides a natural way of implementing linguistic terms from human experts. Existing fuzzy frameworks, however, provide limited support for Type-2. They also tend to be fairly complicated and/or have limited portability. This paper introduces a fuzzy framework for building a Type-1Type-2 fuzzy controller. A “wizard” application and modeling language are supported to provide an easy-to-use interface for creating a fuzzy inference system. The benefits of this framework are: (1) Increased understanding of fuzzy systems implementation via easy-to-use visual tools; (2) Reduced development time; (3) A standardized and portable codebase; (4) Easy configuration via XML; (5) Support for both Type-1 and Type-2 fuzzy sets and rules. The framework is tested and solves a maze problem using both Type-1 and Type-2 implementations.