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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.