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首页> 外文期刊>Engineering Applications of Artificial Intelligence >A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation
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A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation

机译：基于DNMA和批评标准的多标准决策方法，包括区块平台平台评估的语言D号

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摘要

Since more and more blockchain platforms have been utilized in diverse business applications, the blockchain platform evaluation becomes significant for clients. There are challenges regarding the blockchain platform evaluation in terms of information uncertainty, multiple types of criteria, and the correlations between criteria. This study dedicates to proposing a method to solve these problems by integrating linguistic D numbers (LDNs), double normalization-based multiple aggregation (DNMA) method, and Criteria Importance Through Inter-criteria Correlation (CRITIC) method. Firstly, a conversion rule of LDNs is introduced to enhance the comparative rule of LDNs. Then, an integrated multiple criteria decision making framework is proposed by incorporating DNMA with LDNs. This method not only can effectively capture the incomplete or uncertain decision-making information with respect to cost, benefit, and target criteria, but also can reduce the loss of decision information caused by single normalized technology. The CRITIC method is integrated in the LDN-based DNMA method to reflect the correlations between criteria in the blockchain platform evaluation process. To investigate the efficiency of the proposed method, a numerical example of blockchain platform evaluation is given. The sensitivity analysis demonstrates the robustness and stability of the developed method. The comparative analysis shows that our method can identify the potentially important criteria in the decision-making process effectively.
机译：由于在不同的业务应用程序中使用了越来越多的区块链平台，因此区块链接平台评估对于客户来说变得非常重要。在信息不确定性，多种标准和标准之间的相关性方面存在挑战。本研究致力于提出通过集成语言D数字（LDN），基于双重归一化的多聚合（DNMA）方法和通过标准间相关性（批评）方法的标准重要性来解决这些问题的方法。首先，引入了LDN的转换规则，以增强LDN的比较规则。然后，通过将DNMA与LDN结合来提出集成的多标准决策框架。该方法不仅可以有效地捕获成本，益处和目标标准的不完整或不确定的决策信息，而且还可以减少由单标准化技术引起的决策信息的丢失。批评方法以基于LDN的DNMA方法集成在基于LDN的DNMA方法中，以反映区块链平台评估过程中标准之间的相关性。为了研究所提出的方法的效率，给出了区块链平台评估的数值例子。灵敏度分析表明了开发方法的鲁棒性和稳定性。比较分析表明，我们的方法可以有效地识别决策过程中的潜在重要标准。

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