This study presents an overview of data science, exploring the role of data scientists and the methods they employ to investigate analytical problems within business administration. It discusses the responsibilities of data scientists, emphasizing their multidisciplinary nature and the...

The economic analysis of crime has contributed significantly to our understanding of corporate criminal activity. To derive implications for legal policy, most theoretical papers, however, take public enforcement as exogenous, i.e. non-compliance with laws is punished with a given probability by...

Q-Rung orthopair fuzzy set (Q-ROFSs) is a generation of quartic fuzzy sets (QFSs), Fermatean fuzzy sets (FFSs), Pythagorean fuzzy sets (PFSs), Intuitionistic fuzzy sets (IFSs), and fuzzy sets (FSs). Fuzzy similarity measures find wide-ranging applications in several fields, such as pattern...

This study proposes a new class of fuzzy sets called Quintic Fuzzy Set (QuFS), where the sum of the fifth power of the membership degree and non-membership degree is less than or equal to one. We introduce the complement operator and basic operations on QuFS and further develop various theorems...

Existing probabilistic hesitant fuzzy set (PHFS) measures are constructed using two information measures: hesitancy and unwrapped probabilities. We argue that unifying these semantic terms in PHFS information theory is not logical. We introduce a new class of information measures for PHFSs,...

A multitude of studies have highlighted alarming data on healthcare adverse events and medical errors in many countries, including Italy. Many of these errors appear to be the result of non-compliance with good practices and organizational operating procedures, specified in ministerial...

Dynamic Window Approach (DWA) algorithm is a commonly used choice in dynamic obstacle avoidance. However, the traditional DWA algorithm evaluation function is poorly adapted to dynamic obstacle avoidance and has defects in efficiency and safety. In this paper, we consider the speed and heading...

This paper proposes a novel model formulation for the Maximum Covering Species Problem that incorporates spatial connectivity requirements. This model, called the Connected Maximum Covering Species Problem, enforces structural connectivity and relies on knowledge of induced paths, or what we...

Startup companies operate in an unpredictable and unstable business environment. They​ have the potential to grow through optimal decision-making ►Or a suboptimal decision could spell the end of the company. Data analytics is often used to power and guide startup growth decisions. This​...