Abstract: This research focuses on the optimal cloud resource allocation by combining Recurrent Neural Networks (RNN) with fuzzy logic. The main goal of the research is to increase the accuracy and interpretability of cloud resource prediction models by integrating the best of both approaches. The goal is achieved by combining the work of RNN sequence prediction capabilities with the versatility of fuzzy logic to categorize uncertainty management and continuous outputs better.