This study proposes a novel entropy function for the intuitionistic fuzzy sets to improve the existing fuzzy entropy measure. We introduce an attitude-based entropy measure by methodically calculating the experts' attitude values through variance approach. We discuss several important properties...

The adoption of cloud services offers manifold advantages to public organizations; however, ensuring data privacy during data transfers has become increasingly complex since the inception of the General Data Protection Regulation (GDPR). This study investigates privacy concerns experienced by...

The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models...

The company's digital transformation requires the optimization and automation of processes through Industry 4.0 technology, leading to a new business model. Along with technology, effective human resource management (HRM) is crucial for this model. HRM and Industry 4.0 technology are...

This paper delves into the potential impacts of the recently published Network and Information Security Directive 2 (NIS2) and Digital Operational Resilience Act (DORA) on EU cybersecurity resilience and cloud adoption. Employing a mixed method of descriptive literature review, narrative review,...

The Internet of Things (IoT), cloud computing, and machine learning opened an opportunity for new smart systems. These technologies have triggered huge traffic and delay by continuously transmitting telemetry data to the cloud. IoT edge choice made decision-making closer to the environment,...