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To this end, it analyzes the case of Colombian companies, whose economy has been characterized in Latin America by maintaining a traditional economic policy and sectors that seek to maximize the opportunities offered by international markets. This study seeks to identify and analyze the factors that influence the endogenous economic growth of organizations and that allow them to be sustainable over time. For this purpose, adaptation algorithms based on fuzzy logics and supervised and unsupervised learning methods were used, generating an adaptation strategy that allows classifying and knowing the endogenous growth of companies in the Colombian context and identifying the most relevant aspects to take into account. 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