Various new data capturing technologies and object recognition systems have been
developed to construct as-is building information models (BIMs) for operations and …

The effectiveness of the traditional risk analysis approach is enhanced by the integration of
the fuzzy logic and Multi-Criteria Decision Making (MCDM) methods. In fact, human …

Abstract The Hyrcanian forests of Iran contain many species-rich communities that can only
be maintained through an understanding of the renewal and development of these forests …

This paper proposes a methodology to detect candlestick patterns in a stock trading system
using fuzzy logic. The fuzzy approach make possible to account for the vagueness and …

The three-way decision approach is an emerging paradigm in the design of tools for data
mining and machine learning. It switches from a two-way classification (“negative” and …

This paper explores the complementary benefits of embedding a deep learning model as a
fully data-driven fuzzy implication operator of a five-layer neuro-fuzzy system for learning …

Abstract The Brazilian Savannah, known as Cerrado, has the richest flora in the world
among the savannas, with a high degree of endemic species. Despite the global ecological …

Forest production and growth are obtained from statistical models that allow the generation
of information at the tree or forest stand level. Although the use of regression models is …

The pulse width modulation (PWM) rectifiers are nonlinear systems due to semiconductor
switches in their structure. Therefore, these rectifiers draw a distorted current from AC …

Real life data often suffer from non-informative objects—outliers. These are objects that are
not typical in a dataset and can significantly decline the efficacy of fuzzy models. In the paper …