As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

Evolving systems unfolds from the interaction and cooperation between systems with
adaptive structures, and recursive methods of machine learning. They construct models and …

In this paper, a novel self-adaptive fuzzy learning (SAFL) system is proposed for streaming
data prediction. SAFL self-learns from data streams a predictive model composed of a set of …

Background and Purpose: Behavioural finance is a relatively new, but rapidly evolving field
that provides explanations of an economic decision-making by cognitive psychology …

Possibilistic fuzzy c-means clustering (PFCM) is an unsupervised hybrid clustering
algorithm, which can partly inherit the stability of fuzzy c-means clustering (FCM) algorithm …

Recognizing the weakness of the existing evolving fuzzy systems (EFSs) where the
selection and determination of thresholds for the structure and parameter learning are …

This paper proposes an online learning algorithm for data streams, namely self-evolving
fuzzy system (SEFS). Unlike the fixed control parameters commonly used in evolving fuzzy …

The evolving fuzzy technique is a recent development in the soft-computing field that has
shown some promising results in applications such as control, classification, and short-term …

This article introduces a new evolving fuzzy-rule-based algorithm for online data streams,
named extreme value evolving predictor (EVeP). It offers a statistically well-founded …

Evaporation (EP) from dams' reservoirs measured using pans is one of the most important
methods adopted for quantifying the loss of water through evaporation. Black box artificial …