在 q-rung orthopair 模糊环境下扩展的 TODIM 方法及其应用于移动网络中的多路径并行传输
Shanshan Qiu1,2, Xiaofang Deng3, Zhen Jin4
1School of Artificial Intelligence, Guangzhou Maritime University, Guangzhou, 510725, China.
Scientific reports
|February 9, 2026
概括
本研究介绍了一种新的TODIM决策方法,用于q-rung orthopair fuzzy环境,改善复杂工程系统的排名稳定性和信息处理.
科学领域:
- 工程 工程师 工程师 工程师
- 决策科学 决策科学
- 模糊的数学 模糊的数学
背景情况:
- 工程决策通常涉及含糊不清和不对称的信息.
- Q-rung orthopair 模糊集提供了表达力,但在现有的决策框架中面临局限性.
- 缺口包括不稳定的排名,不足的距离测量,以及对这些模糊集的发展不足的TODIM方法.
研究的目的:
- 为 q-rung orthopair 模糊信息开发一个集成的 TODIM 扩展.
- 通过解决排名和距离测量的局限性来增强决策框架.
- 为工程系统中复杂的模糊信息处理创建一个强大的方法.
主要方法:
- 开发了一种基于几何可视化的排名方法,集成会员,非会员和犹等级.
- 提出了一种新的高阶距离测量方法,以捕获q-rung orthopair fuzzy数的细微结构信息.
- 将这些组件集成到 TODIM 框架中,创建了第一个 q-rung orthopair fuzzy TODIM 方法.
主要成果:
- 几何排名方法提高了对参数q波动的解释性和稳定性.
- 高阶距离测量提高了在模糊数字内量化差异的准确性.
- 综合的TODIM方法在处理复杂的模糊信息时展示了实用性和行为现实性.
结论:
- 提出的 q-rung 整形师模糊 TODIM 方法提供了卓越的排名一致性和稳定性.
- 该框架有效地解决了复杂工程系统决策中的现有差距.
- 案例研究和敏感性分析验证了该方法与现有方法相比的实用性和性能.
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