FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical
... [More] calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output. [Less]
Java implementation of Fuzzy Cognitive Maps (FCM). Implementation aims to be: small (and fast), simple to use, flexible enough to be used as a basis for other projects / libraries.
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