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...

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...

The Balanced Scorecard (BSC) methodology focuses on major critical issues of modern business organisations: the effective measurement of corporate performance and the evaluation of the successful implementation of corporate strategy. Despite the increased adoption of the BSC methodology by...

Apres une breve revue des travaux existants concernant l'utilisation de l'aide multicritere a la decision en matiere de gestion de portefeuilles, cet article propose une methodologie multicritere de gestion de portefeuilles.

Risk a basic parameter of portfolio selection and its modelling involves some difficulties. Thus, more and more researchers try to find a solution to this problem proposing other measures than the classic ones used in portfolio selection. On the other hand, Multicriteria Decision Aid has known a...

The evaluation of the performance of mutual funds has been a very interesting research topic for not only researchers, but also for managers of financial, banking and investment institutions. In this study a well-known MCDA method based on the theory of outranking relations, the PROMETHEE II...