Public blockchain enables decentralized trust models in distributed systems. The programmable features such as smart contracts and decentralized applications are attracting application developers, systems integrators, and users to adopt public blockchain systems for a large plethora of applications across all industries. However, the abundance and variety of features in immature blockchain ecosystems make it hard to select an appropriate and useful public blockchain platform. This paper employs a multi-criteria decision-making (MCDM) approach to rank and outline the suitable public blockchain platforms. To this end, we present ECWM, a new weight assignment technique, which is a combination of Entropy and CRITIC method. We applied ECWM on a diverse dataset curated with 16 features (i.e., indicators representing different criteria for blockchain adoption) from 30 public blockchain systems. We apply three MCDM techniques, namely WSM, TOPSIS, and VIKOR, to generate ranks. These techniques produce divergent rankings; therefore, we use Spearman’s rank correlation coefficient to resolve disagreements and outline the best possible ranking with the given dataset. We also rank blockchains according to three categories: popularity, sustainability, and profitability. The ranks are meticulously evaluated by domain experts and are deemed quite effective to guide future researchers and system developers.

公共区块链可在分布式系统中实现分散式信任模型。智能合约和去中心化应用程序等可编程功能正吸引着应用程序开发人员，系统集成商和用户为所有行业的大量应用程序采用公共区块链系统。但是，不成熟的区块链生态系统中的功能丰富且种类繁多，很难选择合适且有用的公共区块链平台。本文采用多准则决策（MCDM）方法对合适的公共区块链平台进行排名和概述。为此，我们提出了一种新的权重分配技术ECWM，它是熵和CRITIC方法的结合。我们将ECWM应用于具有16种功能（即，代表30种公共区块链系统采用不同标准的指标的指标）。我们应用三种MCDM技术（即WSM，TOPSIS和VIKOR）来生成等级。这些技术产生不同的排名。因此，我们使用Spearman的排名相关系数来解决分歧，并概述给定数据集的最佳排名。我们还根据三个类别对区块链进行排名：受欢迎程度，可持续性和盈利能力。排名由领域专家精心评估，被认为对指导未来的研究人员和系统开发人员非常有效。我们使用Spearman的排名相关系数来解决分歧，并概述给定数据集的最佳排名。我们还根据三个类别对区块链进行排名：受欢迎程度，可持续性和盈利能力。排名由领域专家精心评估，被认为对指导未来的研究人员和系统开发人员非常有效。我们使用Spearman的排名相关系数来解决分歧，并概述给定数据集的最佳排名。我们还根据三个类别对区块链进行排名：受欢迎程度，可持续性和盈利能力。排名由领域专家精心评估，被认为对指导未来的研究人员和系统开发人员非常有效。