A Decision Tree (DT) is a potential method for studying traffic accident severity. One of its
main advantages is that Decision Rules (DRs) can be extracted from its structure. And these …

Assessing landslide susceptibility and predicting the possibility of landslide event is the
foundation and prerequisite for emergency response and management of landslide disaster …

Previous studies about ensembles of classifiers for bankruptcy prediction and credit scoring
have been presented. In these studies, different ensemble schemes for complex classifiers …

Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …

Given the current number of road accidents, the aim of many road safety analysts is to
identify the main factors that contribute to crash severity. To pinpoint those factors, this paper …

Clothing production is part of a large chain of businesses, ranging from agribusiness
(production of various fibers and cotton) to textiles (spinning, dying), garment making and …

Classical probability is not the only mathematical theory of uncertainty, or the most general.
Many authors have argued that probability theory is ill-equipped to model the 'epistemic' …

Groundwater is one of the most important sources of fresh water all over the world,
especially in those countries where rainfall is erratic, such as Vietnam. Nowadays, machine …

Abstract The Credal Decision Trees (CDT) have been adapted for Imprecise Classification
(ICDT). However, no ensembles of imprecise classifiers have been proposed so far. The …

It is widely accepted in forecasting that a combination model can improve forecasting
accuracy. One important challenge is how to select the optimal subset of individual models …