## 3 Results and Discussion
If the input data were fuzzy, and trade-off solutions were important, then the fuzzy VIKOR method could be selected. If the data were intervals, then the TOPSIS interval method could be selected. If the data included both interval and fuzzy data, then the TOPSIS interval and fuzzy method could be selected. In the process of working with the WEMSS tool, the optimal method for weighing the criteria was determined. In the context of this problem, the best choice turned out to be the Analytic Hierarchy Process (AHP) method [42]. Stage 5. Software implementation of the selection system and testing. For practical application of the framework, it was assumed that its software implementation would be developed, for example, as a web application. The functionality of the proposed software tool included a regularly updated database of the names of known consensus protocols suitable for use in the Internet of Things networks, a list of criteria for evaluating alternatives, and a set of relevant methods for multi-criteria decision making. To use it, the user must select the appropriate settings in accordance with a specific case of using the framework. It should be noted that there were a number of problems and limitations for the practical application of the framework. Firstly, the system was programmed based on built-in algorithms, and obviously could not completely replace expert analysis. As such, in the event of a discrepancy between the analyzed task and the algorithms embedded in the system, erroneous recommendations of the system were possible. Secondly, the functioning of the systems directly depended on the user's initial data, and, therefore, any erroneous data could lead to incorrect recommendations of the system. Thirdly, the functioning of the systems depends on databases that may become outdated due to the fact that new protocols, criteria, and methods will appear, and existing ones are developed. And if these databases are not updated in a timely manner, then erroneous and outdated recommendations of the system would be possible. It was also necessary to take into account the increase in complexity with the growth of the number of alternatives and evaluation criteria under consideration. Thus, working with these systems requires their user to understand the basic principles of operation of the multi-criteria decision-making methods, to conduct a preliminary study of the functionality of the systems, as well as apply a critical attitude to the received recommended systems. To overcome these problems, regular data updating and system maintenance are necessary. And it was also necessary to take into account the possibility of scaling and future maintainability of the system. This approach has a number of advantages, such as automation of the method selection process, the ability to take into account many different parameters, and flexibility. However, there were also some limitations: dependence of the system operation on built-in algorithms, dependence on the user's initial data, and dependence on the relevance of the system databases. In general, the approach considered showed the potential of using such software tools to solve complex selection problems in the field of distributed registry technologies for IoT. It can be considered that this could be useful in the development of specialized intelligent decision support systems in the field of distributed registry technologies. Future integration with artificial intelligence technologies is also possible, which will increase the efficiency and adaptability of the decisions made, especially in conditions of high data uncertainty and changing requirements for consensus protocols in IoT networks. The feasibility and practicality are demonstrated by the following example. In Ref. [21] [PERSON] et al. (2022) described a use case for the methods with the most suitable consensus protocol for a bike sharing system. A total of 18 alternative consensus protocols were considered for evaluation. The TOPSIS method was used as the main method for all calculations.