In many real world problems it is often difficult to find dependencies between the variables of a process or more general of a system, dependencies which can be used for controlling a plant, forecasting a value or classifying a group of objects into pre-defined classes. Since in many cases,...

Credit cards constitute one of the most common forms of consumer loans. The main purpose of this paper is to apply fuzzy data analysis to the credit scoring problem. A neuro-fuzzy classification technique is compared to the logistic regression approach and novel machine learning algorithms that...

For the banking sector in the EU, the UK is one of the most important countries, since over a quarter of all banking assets in the EU are held in the UK and it is the largest single international banking centre, accounting for 20% of the world's cross-border lending. The UK banking sector has...

The emergence of many new markets in fast-growing regions presents fertile areas for investment growth but also an abundance of obvious and hidden risks. A framework is developed for assessing investment risk in foreign countries. Both multi-variate statistical methods and multi-criteria...

Explains the importance of assessing country risk to lenders and investors, outlines previous research on techniques for doing this and describes a classification method: the multi‐group hierarchical discrimination method (MHD). Applies this to 1978‐1995 data for 143 countries, subdivided...