The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

Fuzzy sets emerged in 1965 in a paper by Lotfi Zadeh. In 1969 Ruspini published a seminal
paper that has become the basis of most fuzzy clustering algorithms. His ideas established …

This study aims to employ two artificial intelligence (AI) methods, namely, artificial neural
networks (ANNs) and adaptive neuro fuzzy inference system (ANFIS) model, for predicting …

Graph theory is afundamental branch of mathematicsthat studiesnetworksconsisting of
nodes (vertices) and their connections (edges). Extensive research has been conducted on …

Prognostics and health management (PHM) is crucial to the reliability and safety of lithium-
ion batteries. In this respect, the capacity regeneration phenomenon that occurs during the …

Background The new REACH legislation requires assessment of a large number of
chemicals in the European market for several endpoints. Developmental toxicity is one of the …

This paper introduces a new technique for feature selection and illustrates it on a real data
set. Namely, the proposed approach creates subsets of attributes based on two criteria:(1) …

Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …

A fuzzy logic system (FLS) is unique in that it is able to simultaneously handle numerical
data and linguistic knowledge. It is a nonlinear mapping of an input data (feature) vector into …

Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …