Genetic - fuzzy - grey algorithms: A hybrid model for establishing companies´ failure reasons

This paper attempts to put forward a hybrid model which combines the advantages offered by grey systems theory, fuzzy theory and genetic algorithm, and tries to identify the causes that are influencing financial failure of a company. For this purpose, a knowledge matrix will be computed. Further, this matrix can be composed with a one-dimensional symptoms matrix for a certain company and so the causes that generate the anomalies can be identified. Knowing the causes, and managing them properly, we can improve company´s financial situation and also lengthened its life on the market.