Recent research on robust decision aiding has focused on identifying a range of recommendations from preferential information and the selection of representative models compatible with preferential constraints. This study presents an experimental analysis on the relationship between the results...

Falsifying financial statements involves the manipulation of financial accounts by overstating assets, sales and profit, or understating liabilities, expenses or losses. This paper explores the effectiveness of an innovative classification methodology in detecting firms that issue falsified...

Although the banking sector in the UK is one of the most open and it is characterized by an increasing foreign bank presence, it remains relatively under-researched compared to studies for other countries. The objective of this paper is to investigate the performance of the UK banking sector...

Outranking methods constitute an important class of multicriteria classification models. Often, however, their implementation is cumbersome, due to the large number of parameters that the decision maker must specify. Past studies tried to address this issue using linear and nonlinear...

Following the oil crisis, most developed countries have increasingly implemented measures for energy conservation and fuels substitution aimed at decreasing the energy intensities of their economies. These efforts have been further augmented during the eighties due to growing awareness of...

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...