As is well known, soft set theory can have a bearing on making decisions in many fields.
Particularly important is parameter reduction of soft sets, an essential topic both for …

Parameter selection or attribute selection is one of the crucial tasks in the data analysis
process. Incorrect selection of the important attribute might generate imprecise or event for a …

This study proposes an alternate data extraction method that combines three well-known
feature selection methods for handling large and problematic datasets: the correlation …

The aim of this work is to analyse the performance of the new proposed hybrid
parameterisation model in handling problematic data. Three types of problematic data will …

This paper evaluates the capability of the hybrid parameter reduction approach in handling
private financial initiative (PFI) unitary charges data to increase the classification …

The classification process is a decision-making task. In order to obtain a good decision, the
classification process needs to be conducted by following a standard framework or …

Decision-making involves several processes such as data pre-processing, data reduction
and data selection. In order to assure a valuable solution is made, each of these processes …

Undoubtedly, spam is a serious problem, and the number of spam emails is increased
rapidly. Besides, the massive number of spam emails prompts the need for spam detection …

Tasks scheduling in the cloud is one of the preliminary requirement to achieve highly
optimized performance by efficient allocation of tasks to resources. But cloud paradigm is …

Concerns relating to safety and privacy have been brought to light as a result of the growing
adoption of Internet of Things (IoT) devices, such as smart home appliances, mobile phones …