A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals,
design methodologies, development guidelines, and carefully selected illustrative material …

A comprehensive coverage of emerging and current technology dealing with heterogeneous
sources of information, including data, design hints, reinforcement signals from external …

The study offers an introduction to the paradigm, concepts and algorithms of Computational
Intelligence (CI). We elaborate on the main technologies of CI: neural networks, fuzzy sets or …

In this study, we introduce the concept of collaborative fuzzy clustering—a conceptual and
algorithmic machinery for the collective discovery of a common structure (relationships) …

There are some variants of the widely used Fuzzy C-Means (FCM) algorithm that support
clustering data distributed across different sites. Those methods have been studied under …

Long-term power load forecasting is of major importance for power suppliers to define the
future power consumption of a given region. However, it is not easy to contend with the …

We proposed a novel kernel-based fuzzy clustering for Geo-Demographic Analysis. It relied
on Gaussian kernel function, updated elements and standardized weights. The algorithm …

Yield forecasting is an important task for the manufacturer of semiconductors. Owing to the
uncertainty in yield learning, it is, however, often difficult to make precise and accurate yield …

This paper presents a new algorithm called general type-2 collaborative fuzzy clustering
(GT2-CFC), which focuses on uncertainty associated with the structures discovered for the …

The semantic vision of the Web involves the processing of data by automated tools as well
as by people, where the association of meaning with content, facilitates the search, the …