Fuzzy Cognitive Maps (FCMs) are a handy method for dynamic systems modeling. A recently introduced RCGA learning method allows for establishing high-quality FCMs from historical data. The main drawback of this method is its scalability. In this paper, a framework for a novel scalable learning method for FCMs is introduced. 1. Background
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