This research addresses the challenges of multi-attribute group decision-making in a hesitant fuzzy environment, where randomness and uncertainty introduce biases into practical making choices. A probability-based double uncertain fuzzy (PDHF) algorithm is proposed to overcome these challenges....

The growing number of connected Internet of Things (IoT) devices has led to the daily growth of network botnet attacks. The networks of compromised devices controlled by a single entity can be used for malicious purposes such as denial of service distributed IoT botnet attacks and theft of...

This study presents a production inventory model where demand is considered a function of the average consumption of perishable products by the diabetic population. Food products are generally subject to spoilage over time, and various preservation technologies are used to keep them in good...

The emergence of smartphones has brought a transformative change in the smartphone industry in terms of technological innovations and business decision-making dynamics. Smartphones have appeared in the market as the standard configuration and currently represent the fastest-growing market...

The increasing global population has heightened the importance of agriculture and the need for food security. This study focuses on developing and evaluating tree-based ensemble learning models for predicting crop suitability and productivity to achieve Agenda Zero Hunger by 2030. The study...

Class unbalanced datasets are frequently encountered in a variety of areas including health, security, and finance. Often these datasets create bias in the supervised learning models trained for the prediction task. One of the most successful techniques to handle imbalanced data is...

Path planning plays a crucial role in the navigation of mobile robots. Among the various path planning techniques, Q-learning (QL) has gained popularity as a reinforcement learning approach that exhibits the ability to learn without significant prior knowledge of the environment. However,...

Emerging modes of advanced air mobility are potential alternatives to current ground transport. This study proposes a service network design approach for the air metro, a pre-scheduled service with fixed routes that accommodate passengers for intra- or inter-city trips. The scenarios of...

The growing demand for data-driven decision-making and the emergence of new business models has led to a rise in digital technologies. As a result, businesses have become more aware of the impact of their activities on the environment, including the production of digital technologies....

Many forecasting methods perform poorly when dealing with intermittent demand patterns and large variations in demand quantity. The presence of significant fluctuations within the time series, coupled with a substantial proportion of zero observations, complicates the extraction of trend and...