FuzzIC : Fuzzy Interpretability Checker
FuzzIC is a Python library for evaluating the interpretability of fuzzy rule bases. It acts as a command-line tool that automatically analyses a base and generates an interactive HTML Dashboard. It computes up to 20 different interpretability criteria, aggregates them into a global interpretability score, and provides configurable, flexible, and customisable evaluation tools.
This work was carried out as part of the ANR-22-ASTR-0032 IFP-in-RL project funded by French ANR in collaboration with Sorbonne Université/LIP6 and Thales.
Project Leader : Christophe MARSALA
01/2023
Salammbo : Construction and Use of Fuzzy Decision Trees
Salammbô is a machine learning software tool that enables the construction of fuzzy decision trees from a set of examples (training set). It allows users to test various types of parameters: discrimination measures (fuzzy entropy, ambiguity measure, etc.), t-norms/t-conorms, stopping criteria, etc. In addition, it implements an automatic method for constructing fuzzy sets for numerical variables from a set of (precise) numerical values.
Project Leader : Christophe MARSALA
05/2000