A Dynamic Decision Support System for the Best-Fitting Blockchain Platform Selection.

Blockchain technology has been used in a variety of applications due to its security, decentralization, and immutability features, making it an ideal solution for an untrusted environment where multiple parties write data to a shared ledger based on consensus. However, with the exponential growth of blockchain platforms and their increasingly complex selection criteria, it has become difficult to determine the optimal platform for a particular use case or domain. To address this challenge, we propose a dynamic decision support system that enables users to identify the most suitable blockchain platform for their use cases and preferences. The proposed system allows users to add new categories, features, and platforms at any time, providing a flexible and adaptable solution for selecting the most appropriate blockchain platform. To develop this system, we analyzed and categorized the features of 36 blockchain platforms, focusing on Boolean and Non-Boolean characteristics. Then, we developed a decision-support system that prioritizes requirements according to their relevance and importance in the context of the specific use case. Finally, the system has been validated using different blockchain platforms. This system has the potential to significantly improve the decision-making process for selecting a suitable platform, saving time and resources while enhancing the success of blockchain-based solutions across a range of industries by simplifving the platform selection process.