Data classification and regression are commonly encountered data analysis problems.
Many researchers created multiple tools to deal with these issues. Fuzzy clustering, fuzzy …

Using multi-criteria decision making (MCDM) technique to rank alternatives is a well-known
area of study in which aggregation operators, such as ordered weighted averaging (OWA) …

This paper puts forwards the induced generalized ordered weighted multiple continuous
ordered weighted geometric averaging (IGOWMC‐OWGA) operator, which overcomes the …

Due to the huge losses caused by the default of credit customers, the major loan platforms
attach great importance to the testing and forecasting of non-performing loans. From the …

Pruning decision trees is the way to decrease their size in order to reduce classification time
and improve (or at least maintain) classification accuracy. In this paper, the idea of applying …

As an important part of social networks, tags are widely used. Tags are similar to keywords,
which can express and convey the main ideas or key knowledge of the article. With the …

Abstract Information of article which had attractive contains as Trending Topics, although this
is article hoax or not. The frequency of article's content which created by online media, it can …

Classical random forest (RF) is suitable for the classification and regression tasks of high-
dimensional data. However, the performance of RF may be not satisfied in case of few …

Researchers often rely on the byline order in a publication to estimate relative contributions
made by its authors, an assumption on which existing author contribution measures are …

The C–fuzzy random forest is a novel ensemble classifier which uses C-fuzzy decision trees
as unit classifiers. The main problem connected with this classifier is a relatively long …