Improving Decision-Making in Blockchain-Based Systems Using Fuzzy Logic

Blockchain-based systems have been gaining popularity over the last few years due to their transparency, security, and immutability. However, decision-making processes in such systems can be complex and time-consuming. In this article, we propose the use of a fuzzy logic model to improve the accuracy and efficiency of decision-making processes in blockchain-based systems. The model takes into account the uncertainties and ambiguities inherent in such systems, allowing for more nuanced and accurate decision-making. The approach involves defining input variables such as transaction volume, size, complexity, and speed using linguistic terms and output variables such as efficiency using low, medium, and high terms. The paper details the steps involved in creating a fuzzy logic model in MATLAB, which includes determining input and output variables and defining their linguistic terms. By leveraging the power of fuzzy logic, blockchain-based systems can be made more efficient and reliable, ultimately benefiting users and stakeholders. The proposed approach has the potential to enhance decision-making in various blockchain-based applications.