This research aims to be guided decision-makers in future planning by estimating the
tendency of data consistently. In this context, it is thought that the integration of the …

Extensive research results of stock market time series using classical fuzzy sets (type‐1) are
available in the literature. However, type‐1 fuzzy sets cannot fully capture the uncertainty …

This article deals with the determination and comparison of different types of functions of the
type-2 interval of fuzzy logic, using a case study on the international financial market. The …

Probability models are preferred over regression models recently in contamination
evaluation but lacking proper performance comparison between two model types. Linear …

Background In applied sciences, statistical models are pivotal for uncovering relationships in
complex datasets. The applied linear model establishes associative links between variables …

This research study investigated the low descriptive quality of the traditional univariate time
series model on transport vehicle passenger-carrying capacity forecasting despite its …

The forecast of traffic flow state (TFS) is the key to the effective control of roads, especially
during large competition events. To enhance the accuracy of TFS forecast, this paper puts …