Visual-FIR: A New Platform for Modeling and Prediction of Dynamical Systems

Keywords

Abstract

In this research, a new platform for the Fuzzy Inductive Reasoning (FIR) methodology has been designed and developed under the Matlab environment. The new tool, named Visual-FIR, allows the identification of dynamic systems models in a user-friendly environment. FIR offers a model-based approach to modeling and predicting either univariate or multivariate time series. Previous uses of FIR had demonstrated the high potential of this qualitative modeling and simulation methodology in effectively dealing with applications from various areas such as control, biology, and medicine. However, the available implementation of FIR was such that new code had to be developed for each new application studied, reducing considerably the interest in this methodology for the occasional user, and making it tedious even for expert programmers. Visual-FIR resolves this limitation, and offers a high efficiency implementation of the FIR methodology. Furthermore, the Visual-FIR platform adds new features to previous implementations, increasing the overall capabilities of the FIR methodology.

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Last modified: July 12, 2005 -- © François Cellier