26 citations · 55 across the 5 of their papers we have counts for
5 papers
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
Adnan Theerens, Yvan Saeys, Chris Cornelis
This paper introduces feature subset weighting using monotone measures for distance-based supervised learning. The Choquet integral is used to define a distance metric that incorpo…
Fuzzy Rough Choquet Distances for Classification
Adnan Theerens, Chris Cornelis
This paper introduces a novel Choquet distance using fuzzy rough set based measures. The proposed distance measure combines the attribute information received from fuzzy rough set…
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets
Adnan Theerens, Chris Cornelis
Rough set theory is a well-known mathematical framework that can deal with inconsistent data by providing lower and upper approximations of concepts. A prominent property of these…
Fuzzy Rough Sets Based on Fuzzy Quantification
Adnan Theerens, Chris Cornelis
One of the weaknesses of classical (fuzzy) rough sets is their sensitivity to noise, which is particularly undesirable for machine learning applications. One approach to solve this…
Choquet-Based Fuzzy Rough Sets
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
Fuzzy rough set theory can be used as a tool for dealing with inconsistent data when there is a gradual notion of indiscernibility between objects. It does this by providing lower…