评估胰腺癌治疗策略,使用一种新的多类型模糊张量器方法
Muhammad Bilal1, Chaoqian Li1, A K Alzahrani2
1School of Mathematics and Statistics, Yunnan University, Kunming 650106, China.
Bioengineering (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了一种用于复杂决策的新型多类型模糊张量 (PFT) 模型. 该PFT框架处理不准确的数据,提供比传统模糊方法更可靠的结果.
科学领域:
- 决策科学 决策科学 决策科学
- 模糊的数学 模糊的数学
- 计算智能是一种计算智能.
背景情况:
- 现实世界的决策越来越复杂和不确定.
- 传统的方法与高维度,不精确和模两可的信息作斗争.
研究的目的:
- 介绍一个新的多类型模糊张量 (PFT) 框架.
- 在不确定性下解决多标准集团决策的挑战.
主要方法:
- 开发了一个PFT模型,统一了多类型几何和模糊张量.
- 定义了PFT的代数运算,聚合机制和理论属性.
- 通过数学公式验证了框架.
主要成果:
- 在评估胰腺癌治疗中证明了PFT的有效性.
- 在一致性和可靠性方面,PFT优于传统的模糊技术.
- 展示了对多维专家评估和相互矛盾的信息的优越处理.
结论:
- PFT模型为复杂的决策提供了一个灵活,理论上健全和实用的工具.
- 这项研究推进了模糊决策科学.
- 未来的工作包括计算优化和实时数据适应.
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