FRRI: a novel algorithm for fuzzy-rough rule induction

no code implementations • 7 Mar 2024 • Henri Bollaert, Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

In this paper, we introduce a novel rule induction algorithm called Fuzzy Rough Rule Induction (FRRI).

Fuzzy granular approximation classifier

1 code implementation • 2 Jun 2022 • Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

At the end, we discuss the transparency of the FGAC and its advantage over other locally transparent methods.

Binary Classification Classification +1

Multi-class granular approximation by means of disjoint and adjacent fuzzy granules

no code implementations • 15 Feb 2022 • Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

In granular computing, fuzzy sets can be approximated by granularly representable sets that are as close as possible to the original fuzzy set w. r. t.

Attribute Binary Classification +1

A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation

no code implementations • 26 Nov 2021 • Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

Inconsistency in prediction problems occurs when instances that relate in a certain way on condition attributes, do not follow the same relation on the decision attribute.

Attribute BIG-bench Machine Learning +2