As the land cover is a basic and important factor, affecting and connecting various parts of
the human and physical environment, the classification of land cover plays a major role in …

Inductive learning has been—and still is—one of the most important methods that can be
applied in classification problems. Knowledge is usually represented using rules that …

While interpretable antecedent parts of first-order Takagi–Sugeno–Kang (TSK) fuzzy rules
can be properly acquired by adopting some clustering methods, this study aims at avoiding …

In this paper we propose a new approach to nonlinear modelling. It uses capabilities ofthe
so-called flexible neuro-fuzzy systems and evolutionary algorithms. The aim of our method is …

Clustering is used to detect sound structures or patterns in a dataset in which objects
positioned within the same cluster exhibit a substantial level of similarity. In numerous …

Data clustering has been applied in almost areas such as health, natural resource
management, urban planning∶ especially, fuzzy clustering which the advantage with …

In the rapidly evolving realm of remote sensing technology, the classification of
Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent …

Abstract The Dunhuang Basin, located in northwestern China, is famous for its oases and
geological remains. However, some problems of the eco-environment have raised public …

In this paper a novel Genetic Fuzzy Rule-based Classification System, named DECO 3 R
(Differential Evolution based Cooperative and Competing learning of Compact FRBCS), is …

The practical investigation on change detection (CD) on satellite data using machine
learning techniques is the main emphasis of this work. Land plays a significant role in the …