使用EDAS技术在复杂的q-rung orthopair模糊结构中采用区块链采用的决策支持模型
Umar Ali1,2, Junxiang Li3,4, Usman Zulfiqar5
1Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Scientific reports
|December 1, 2025
概括
这项研究引入了一个新的决策框架,使用复杂的Q-Rung orthopair fuzzy设置来识别区块链技术 (BCT) 实施障碍. 这种先进的方法为管理人员在应对BCT采用挑战时提供了可靠的见解.
科学领域:
- 信息技术 信息技术 信息技术
- 决策科学 决策科学 决策科学
- 模糊的数学 模糊的数学
背景情况:
- 区块链技术 (BCT) 提供了分散,安全和透明的系统,影响了各种行业.
- 管理人员需要强大的决策流程来解决BCT采用因素和障碍的不确定性.
- 现有的方法可能无法充分处理评估BCT实施所固有的复杂性和不确定性.
研究的目的:
- 开发一种系统的方法来识别和解决BCT实施的障碍.
- 引入基于复杂的 q-rung orthopair 模糊设置 (Cq-ROFS) 的新型聚合运算符.
- 提出一个先进的多属性组决策 (MAGDM) 过程来评估BCT采用.
主要方法:
- 使用复杂的 q-rung orthopair 模糊设置 (Cq-ROFSs) 进行专家意见综合.
- 引入了复杂的 q-rung orthopair fuzzy爱因斯坦几何运算符 (Cq-ROFEWG,Cq-ROFEOWG,Cq-ROFEHG),用于在不确定性下进行增强的聚合.
- 开发了一种基于EDAS的增强决策流程,以适应MAGDM的要求.
主要成果:
- 拟议的框架被应用于评估14个关键方面的BCT实施.
- 该方法有效地利用先进的模糊聚合运算符合成专家观点.
- 验证证实了开发的决策技术的实际适用性和有效性.
结论:
- 新的MAGDM框架为决策者提供了有关BCT实施的增强可靠性和现实的见解.
- 拟议的方法为评估复杂技术采用提供了比传统模型更好的替代方案.
- 这项研究为在与BCT等新兴技术相关的战略业务决策中克服不确定性提供了强大的方法.
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