Customer perceived value (CPV) is critical for supply chain management, due to its link with
satisfaction and market share. In addition, value perception is a consequence of several …

In deep learning, it is common to encounter data observed at different frequencies. Mixed
data sampling (MIDAS) is an efficient technique for handling mixed frequency data, where a …

The recommender systems have long been studied in the literature. The collaborative
filtering is one of the most widely adopted recommendation techniques which is usually …

Clustering is an important unsupervised learning method in machine learning and data
mining. Many existing clustering methods may still face the challenge in self-identifying …

Machine learning (ML) models have been widely used to improve the accuracy and
efficiency of various types of disease diagnostic tasks. However, it is still challenging to …

Artificial Intelligence (AI)–simply referring to the intelligence exhibited by machines, as
opposed to natural intelligence displayed by humans–is reshaping business, economy, and …

This article presents the modeling and solution of an extended type of split delivery vehicle
routing problem (SDVRP). In SDVRP, the demands of customers need to be met by …

Initial Public Offerings (IPOs) are an important aspect of an investor's portfolio. Due to the
incredible amount of risk and uncertainty surrounding them, IPOs make a good investment …

In this paper, a hybrid adaptive granular fuzzy approach to rule discovery (HGFRD) is
proposed that effectively utilizes the advantages of Mamdani and Takagi–Sugeno–Kang …

The existing approaches to interpretability in data-driven fuzzy models are reliant, heavily,
on constraining different components of the model, and subsequently on sophisticated …