The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

Uncertainty extensively exists in data and knowledge intensive applications, in which fuzzy
information processing plays a crucial role. Fuzzy sets have been extensively used to …

Financial markets are complex systems influenced by many interrelated economic, political
and psychological factors and characterised by inherent nonlinearities. Recently, there have …

Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …

In an uncertain database, every object o is associated with a probability density function,
which describes the likelihood that o appears at each position in a multidimensional …

Current approaches for obtaining shoreline change rates suffer from inability to give a
specialist interpretation of the numerical results represented by velocities (m/yr). This study …

Nowadays, data clustering is an important task to the mining research community since the
availability of uncertain data is increasing rapidly in many applications such as weather …

The growing trend in pervasive systems forces traditional wireless sensor networks to deal
with new challenges, such as dynamic application requirements and heterogeneous …

This introductory chapter first provides the reader a motivation of the pertinence of the fuzzy
classification approach in the fields of information systems, customer relationship …