This paper presents a novel approach for assessing the potential risk of serious crime events (e.g. terrorist attack). The modelling and assessment of such risk is carried out under uncertain circumstances because of both ...

Feature selection aims to determine a minimal feature subset from a problem domain while retaining a suitably high accuracy in representing the original features. Rough set theory (RST) has been used as such a tool with ...

This paper describes a project being undertaken at the University of Wales, Aberystwyth that aims to enhance the pedagogical process through the use of collaborative design. It describes a survey that highlights dissatisfaction ...

Consideration of a wide range of plausible crime scenarios during any crime investigation is important to seek convincing evidence and hence to minimize the likelihood of miscarriages of justice. It is equally important ...

Semantics-preserving dimensionality reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern ...

An approach based on Ant Colony Optimisation for the induction of fuzzy rules is presented. Several Ant Colony Optimisation algorithms are run simultaneously, with each focusing on finding descriptive rules for a specific ...

The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such networks is by means of an evolutionary ...

The focus of this paper is the use of fuzzy approaches to classify student academic performance, which so far has not been performed satisfactorily by existing fuzzy techniques. Instead of using methods that solely rely ...