This paper introduces FISDeT, a tool to support the design of Fuzzy Inference Systems, composed of a set of Python modules sharing the standard specification language FCL used for FIS definition. FISDeT includes a graphical user interface that enables easy definition and quick update of elements composing the knowledge base of a FIS. Given the knowledge base, the tool can perform the inference of fuzzy rules, providing the output of a FIS for any given input. Modules for creating a fuzzy rule base for classification and verifying the behavior of the classification system are integrated within the environment. The paper also reports applications of FISDeT to acquire available knowledge bases and create a FIS for an image processing task.
CITATION STYLE
Castellano, G., Castiello, C., Pasquadibisceglie, V., & Zaza, G. (2017). FISDeT: Fuzzy inference system development tool. International Journal of Computational Intelligence Systems, 10(1), 13–22. https://doi.org/10.2991/ijcis.2017.10.1.2
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