While collective intelligence (CI) is a powerful approach to increase decision accuracy, few attempts have been made to unlock its potential in medical decision-making. Here we investigated the performance of three well-known collective intelligence rules ("majority", "quorum", and "weighted quorum") when applied to mammography screening. For any particular mammogram, these rules aggregate the ...

The method chosen for determining the “best” routing selection has a great effect both upon theoretical rules and the real problems met in our business life. When it comes to theoretical research, a good routing selection algorithm can not only trim costs and raise the efficiency of the system but also reduce the waste of system resources. Making a correct routing selection decision could help ...

Interval information systems are generalizedmodels of single-valued information systems. By introducing a dominance relation to interval information systems, we propose a ranking approach for all objects based on dominance classes and establish a dominance-based rough set approach, which is mainly based on substitution of the indiscernibility relation by the dominance relation. Furthermore, we ...

Two main approaches are used in the development of computer-aided decision support systems in medicine: (i) based on the processing of images obtained during medical investigations, (ii) based on rules. At present, various combinations of these two techniques become more adequate and assure a great perspective for this domain. SonaRes system combines the two basic approaches of ultrasound diagn...

Investigations into probabilistic graphical models for decision making have predominantly centered on influence diagrams (IDs) and decision circuits (DCs) for representation and computation of decision rules that maximize expected utility. Since IDs are typically handcrafted and DCs are compiled from IDs, in this paper we propose an approach to learn the structure and parameters of decision-mak...

Investigations into probabilistic graphical models for decision making have predominantly centered on influence diagrams (IDs) and decision circuits (DCs) for representation and computation of decision rules that maximize expected utility. Since IDs are typically handcrafted and DCs are compiled from IDs, in this paper we propose an approach to learn the structure and parameters of decision-mak...

A tacit but fundamental assumption of the theory of signal detection is that criterion placement is a noise-free process. This article challenges that assumption on theoretical and empirical grounds and presents the noisy decision theory of signal detection (ND-TSD). Generalized equations for the isosensitivity function and for measures of discrimination incorporating criterion variability are ...

Abstract This study proposes a method for determining decision-making rules on fleet composition that are effective from perspective of profitability in the shipping industry, where there several market uncertainties such as fuel prices, freight rates, exchange rate, transportation demand, world capacity, and ship price. A simulator is used to calculate revenue based scenario. Using this optimi...

Research suggests that physical education (PE) needs to adapt meet societies’ changing and increased diversity amongst pupils. However, despite growing pressure from often competing sectoral interests, educational reforms, new curricula directed at PE bring about such changes, research has not seen a more profound impact. Many policy initiatives impact teachers, which means they are responsible...