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Interval-valued q-rung orthopair fuzzy complex proportional assessment-based approach and its application for evaluating the factors of blockchain technology in various domains
Journal of Industrial Information Integration ( IF 10.4 ) Pub Date : 2024-11-02 , DOI: 10.1016/j.jii.2024.100718
Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, Muhammet Deveci

Blockchain technology (BT) is a digitally decentralized, distributed and public ledger, which considers a secure and viable solution for storing and accessing the record transactions in a public or private peer-to-peer network and assures a smart world of automation of complex services. This paper aims to evaluate the factors persuading the BT adoption and also to assess the possible application areas for the adoption of BT. Implementation of the BT process considers multiple criteria and alternatives with uncertain information; therefore, it can be considered as an uncertain multi-criteria decision-making problem. In this context, a hybrid approach is proposed based on the criteria interaction through inter-criteria correlation (CRITIC) and the complex proportional assessment (COPRAS) methods with interval-valued q-rung orthopair fuzzy set (IVq-ROFS) named as the “IVq-ROF-CRITICCOPRAS” framework. In this approach, the significance values of the factors are computed through novel score function-based CRITIC model, whereas the CRITIC-based COPRAS model is employed to rank different domains/application areas for the adoption of BT under IVq-ROFSs environment. In this regard, a novel score function is introduced with its desirable characteristics. Further, the developed model is executed on a case study of BT adoption considering 14 factors, which confirms the efficiency and applicability of introduced approach. Based on the results, the healthcare BT alternative is most appropriate among the others. To evaluate its permanence, sensitivity analysis with regard to various ratings of decision strategic coefficient is presented under IVq-ROFS context. The strength of the developed approach is emphasized by comparing it with some of the former models under the context of IVq-ROFSs. The proposed extension of the COPRAS approach can be utilized to solve other complex group decision-making problems with uncertainties.

中文翻译:


基于区间值 q-rung 正交对模糊复数比例评估的方法及其在各领域区块链技术因素评价中的应用



区块链技术 (BT) 是一种数字去中心化、分布式和公共账本,它考虑了一种安全可行的解决方案,用于在公共或私有点对点网络中存储和访问记录交易,并确保复杂服务自动化的智能世界。本文旨在评估说服 BT 采用的因素,并评估采用 BT 的可能应用领域。BT 流程的实施考虑了多个标准和具有不确定信息的替代方案;因此,可以将其视为一个不确定的多标准决策问题。在此背景下,提出了一种基于标准间相关 (CRITIC) 的标准交互和复杂比例评估 (COPRAS) 方法的混合方法,该方法具有区间值 q-rung 正交对模糊集 (IVq-ROFS),称为 “IVq-ROF-CRITICCOPRAS” 框架。在这种方法中,通过基于新评分函数的 CRITIC 模型计算因素的显着性值,而基于 CRITIC 的 COPRAS 模型用于对 IVq-ROFSs 环境下采用 BT 的不同领域/应用领域进行排名。在这方面,引入了一种新的得分函数,具有其理想的特性。此外,开发的模型是在考虑 14 个因素的 BT 采用案例研究中执行的,这证实了引入方法的效率和适用性。根据结果,医疗保健 BT 替代方案是其他替代方案中最合适的。为了评估其持久性,在 IVq-ROFS 背景下对决策战略系数的各种评级进行了敏感性分析。 通过在 IVq-ROFS 的背景下将其与以前的一些模型进行比较,强调了所开发方法的优势。拟议的 COPRAS 方法扩展可用于解决其他具有不确定性的复杂群体决策问题。
更新日期:2024-11-02
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