  This foundational research provides additional support for using the Fuzzy
ARTMAP neural network as a classification algorithm in the TAR domain. While
research opportunities exist to improve recall performance and explanation, the
robust recall results from this study and the proof-of-concept demonstration of
If-Then rules for tf-idf vectorization strongly substantiate that a Fuzzy
ARTMAP-based TAR system is a potentially viable explainable alternative to
"black box" TAR systems.
