This study surveys the ordered weighted averaging (OWA) operator literature using a
citation network analysis. The main goals are the historical reconstruction of scientific …

In many real-life decision making (DM) situations, the available information is vague or
imprecise. To adequately solve decision problems with vague or imprecise information …

Green low-carbon port (GLCP) development and evaluation have gained increase attention
in recent years. However, the uncertain assessment procedure and complex index in the …

Random forest is one of the most widely used machine learning algorithms. Decision trees
used to construct the random forest may have low classification accuracies or high …

When people make a decision, they are usually hesitant and irresolute for one thing or
another which makes it difficult to reach a final agreement. For example, two decision …

Rolling bearings are important components in mechanical, civil, and aerospace
engineering. The practical working conditions of rolling bearings are complex; hence, fault …

The ordered weighted distance [27, 49] is a new decision-making technique, having been
proved useful for the treatment of input data in the form of exact numbers. In this paper, we …

Internal audit is an independent and objective assurance and consulting activity that aims to
improve the operations of an organization and add value to them. Planning internal audit by …

This paper proposes new combined methods to classify normal and epileptic seizure EEG
signals using wavelet transform (WT), phase-space reconstruction (PSR), and Euclidean …

We present a new model that uses the weighted average (WA) and the induced ordered
weighted averaging (IOWA) operator in the same formulation. We call it the induced ordered …