Rfuzzycoco: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It

Provides and extends the 'Fuzzy Coco' algorithm by wrapping the 'FuzzyCoCo' 'C++' Library, cf https://github.com/Lonza-RND-Data-Science/fuzzycoco. 'Fuzzy Coco' constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a 'S3' classic interface (fit_xy()/fit()/predict()/evaluate()) and a 'tidymodels'/'parsnip' interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.

Features

Rfuzzycoco provides the FuzzyCoCo algorithm, cf Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling from Carlos Andrés Peña-Reyes

See also

Useful links:

• https://github.com/Lonza-RND-Data-Science/Rfuzzycoco

• Report bugs at https://github.com/Lonza-RND-Data-Science/Rfuzzycoco/issues

Author

Maintainer: Karl Forner karl.forner@gmail.com