Stock price forecasting has been in the center of interest of the stock market analysts and of the research community during the last four decades. A number of important studies have been con-ducted dealing primarily with the forecasting effectiveness of various models and methods; however,...

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...

In this paper we investigate the application of a methodology based on fuzzy-sets theory to the selection of an optimal portfolio of Greek government bonds. Investors’ goals for the different bond market scenarios are formulated in fuzzy qualitative terms, while a model of fuzzy mathematical...

The classification of a set of alternatives into predefined homogenous groups is a problem with major practical interest in many fields. Over the past two decades several non-parametric approaches have been developed to address the classification problem, originating from several scientific...