26 citations · 71 across the 11 of their papers we have counts for
3 papers · 2 filters
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…
Fuzzy granular approximation classifier
Marko Palangetić, Chris Cornelis, Salvatore Greco +1
In this article, a new Fuzzy Granular Approximation Classifier (FGAC) is introduced. The classifier is based on the previously introduced concept of the granular approximation and…
Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
Marko Palangetić, Chris Cornelis, Salvatore Greco +1
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. a given closeness measure. Suc…