Voting features based classifiers, shortly VFC, have been shown to perform well on most real-world data sets. They are robust to irrelevant features and missing feature values. In this paper, we introduce an extension to VFC, called voting features based classifier with feature construction,...

Recent financial crises and especially large corporate bankruptcies, have led bank managements and financial authorities to follow and monitor both financial and real sector risks, and to focus on firm failures. Bank of International Settlements, has therefore, taken the decision to include the...

Forecasting Populations (FPOP) is a microsimulation model (MSM) that is the demographic core of an extensible modeling framework. The framework, with FPOP at its core, enables the geospatial projection of a population under purely demographic processes or under the additional influence of...

Understanding, defining and using knowledge can be based on a number of many approaches, such as the synthesis of Knowledge Management Systems, Knowledge Agents, Knowledge Discovery and Data Mining, Organizational Semantic Webs. Knowledge is based on the accumulation of facts, procedural rules...

The paper deals with business potential analysis based on the data published by Czech Statistic Authority (SÚ). It shows that the infrastructure state of the art even in small Czech companies enables to expand ERP and CRM systems, trading over Internet, Supply Chain Management and other new...

El análisis técnico es un método que busca pronosticar movimientos en los precios a partir de información pasada. Aunque la subjetividad asociada a esta técnica dificulta un estudio científico, los fundamentos lógicos del análisis técnico permiten la creación de algoritmos que pueden...

Economic systems involve many heterogeneous agents and their complex interactions. These lead many studies, in recent years, to focus on the complex networks. Agent based modelling and simulation (ABMS) is a powerful tool for analyzing such systems. This model enables interacting agents to...

In this paper we test a particular variant of the (Repulsive) Particle Swarm method on some rather difficult global optimization problems. A number of these problems are collected from the extant literature and a few of them are newly introduced. First, we introduce the Particle Swarm method of...

Multi-Agent Systems may be classified as containing No Direct Interactions, Simple Interactions or Complex, Conditional Interactions between agents. This paper argues and illustrates that models with simple interactions, even though possibly less fascinating for the Multi-agent system theorists...

En el contexto de toma de decisiones multicriterio y bajo ciertas circunstancias, puede ocurrir que no se pueda expresar una cierta valoración mediante una única etiqueta lingüística, ya que puede haber duda en esa valoración. En este trabajo, presentamos un modelo de consenso para...