Monte Carlo validation of the pairwise comparisons method accuracy improvement for 3D objects

A Monte Carlo study of the pairwise comparisons method has been designed to validate the accuracy improvement by the pairwise comparisons method for 3D objects.For this, not-so-irregular objects were randomly selected.It is important to emphasize that this study focuses on testing the accuracy of the method rather than the users' skills.The users' inability to assess the volume of unrestricted random objects (e.g., a porcupine) would only deviate the results.As a side product, semi-randomly generated 3D objects can also be useful in many other research areas, such as software validation and verification, microeconomics (consumer preferences for products), computer entertainment, and even agriculture (selecting of fruits and vegetables).Further generalizations incorporating additional dimensions, as a comparison of different investment opportunities, can be useful, for example in enhancing financial decision-making processes.