Decision tree is one of the complex algorithms in the fields of pattern recognition and data
mining, which is not only related to database, artificial intelligence and other disciplines, but …

The study of the relationships between deterministic decision trees and systems of decision
rules can be seen as an important task of computer science. Methods for transforming …

Abstract DRSs (Decision Rule Systems) and DTs (Decision Trees) are well known as
classification tools, knowledge representation methods, and algorithms. Their clarity and …

Deep learning models are receiving increasing attention in clinical decision-making,
however the lack of interpretability and explainability impedes their deployment in day-to …

Abstract DRSs (Decision Rule Systems) and DTs (Decision Trees) are well known as
classification tools, knowledge representation methods, and algorithms. Their clarity and …

This article introduces a novel approach to digitize legislation using rule based-decision
trees (RBDTs). As regulation is one of the major barriers to innovation, novel methods for …

Decision trees and systems of decision rules are widely used as classifiers, as a means for
knowledge representation, and as algorithms. They are among the most interpretable …

The study of relationships between systems of decision rules and deterministic decision
trees is an important task of computer science. It is easy to transform a decision tree into a …

Abstract Systems of decision rules and decision trees are widely used as a means for
knowledge representation, as classifiers, and as algorithms. They are among the most …

In this paper, we study arbitrary infinite binary information systems each of which consists of
an infinite set called universe and an infinite set of two-valued functions (attributes) defined …