64 citations · 179 across the 10 of their papers we have counts for
3 papers · 1 filter
Do we still need fuzzy classifiers for Small Data in the Era of Big Data?
Mikel Elkano, Humberto Bustince, Mikel Galar
The Era of Big Data has forced researchers to explore new distributed solutions for building fuzzy classifiers, which often introduce approximation errors or make strong assumption…
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems
Mikel Elkano, Mikel Uriz, Humberto Bustince +1
We present a new distributed fuzzy partitioning method to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. The proposed algorithm builds…
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
Mikel Elkano, Jose Sanz, Edurne Barrenechea +2
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions…