评估经济发展政策使用一个球形模糊扩展TODIM模型与Z̆-numbers
Shahzaib Ashraf1, Muhammad Sohail1, Adan Fatima1
1Institute of Mathematics, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, Pakistan.
PloS one
|June 13, 2023
概括
本研究引入了球形模糊Z数 (SFZN),以有效地处理决策中的模糊和概率性不确定性. 新的聚合运算符和算法证明了分析复杂,不确定的信息的改进方法.
科学领域:
- 决策科学 决策科学
- 信息科学 信息科学 信息科学
- 模糊的逻辑 模糊的逻辑
背景情况:
- Z数字提供了不确定的信息的增强特征,包括约束和可靠性.
- 现有的Z数研究不足地解决了不确定性的混合模糊和概率性质.
- 存在对更好地代表人类知识和数据可靠性的决策方法的需求.
研究的目的:
- 为了有效地管理模两可的判断,引入球形模糊Z数 (SFZNs).
- 为SFZN制定运营法律和聚合运营商.
- 使用SFZN和TODIM方法创建用于不确定性下决策的算法.
主要方法:
- 整合Z数与球形模糊集以形成SFZN.
- 为SFZN开发各种平均和几何聚合运算符.
- 与拟议的运营商应用TODIM方法,以解决不确定的决策.
主要成果:
- 引入能够反映模糊,灵活和适用的决策数据的SFZN.
- 为SFZN开发新的聚合运营商 (加权,顺序,混合平均/几何).
- 通过比较分析和算法证明可行性和有效性.
结论:
- 经济安全区为处理双重不确定性 (随机性和模糊性) 提供了一个强大的框架.
- 拟议的聚合运算符和基于TODIM的算法增强了对不确定的数据的决策.
- 这项研究解决了Z数量测量和应用的重大差距.
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