Several fuzzy extensions of decision tree induction, which is an established machine-
learning method, have already been proposed in the literature. So far, however, fuzzy …

Anomaly detection is nowadays a key data mining task. Anomaly detection methods
generally look for patterns of” normal” profile and then identify data points that do not match …

Photovoltaic solar panels are effective energy sources during periods of bright sunlight.
Excess energy can be stored for later use at night or on cloudy days. The decision to use the …

In the global market place, many companies have had to adapt their strategies to meet
significant challenges. A strategy adopted by some companies has been international …

Misner space, also known as the Lorentzian orbifold, is one of the simplest examples of a
cosmological singularity in string theory. In this work, the study of weakly coupled closed …

Fuzzy set theory offers an important contribution to data mining leading to fuzzy data mining.
It enables the management of interpretable and subjective information in both input and …

In this paper, a study is presented to explore ensembles of fuzzy decision trees. First of all, a
quick recall of the state of the art related to ensembles of (fuzzy) decision trees in Machine …

ABSTRACT Fuzzy Decision Tree is becoming increasingly significant as it is applied to
areas of different platforms in real life. This paper gives an overview of the applications of …

LNAI 8467 - Intuitionistic Fuzzy Decision Trees - A New Approach Page 1 Intuitionistic Fuzzy
Decision Trees - A New Approach Paweł Bujnowski, Eulalia Szmidt, and Janusz Kacprzyk …

This chapter focuses on real-world applications of fuzzy techniques for information retrieval
and data mining. It gives a presentation of the theoretical background common to all …