在双极复杂模糊集合中的分区麦克劳林对称平均运算符用于多属性决策
Ubaid Ur Rehman1, Ibrahim Aldayel2, Meraj Ali Khan2
1Department of Mathematics, University of Management and Technology, C-II, Johar Town, Lahore, 54700, Punjab, Pakistan.
Scientific reports
|April 24, 2025
概括
这项研究引入了新的数学工具,双极复杂模糊分区麦克劳林对称平均运算符,以处理复杂的不确定性. 这些运营商在模两可的情况下加强决策过程.
科学领域:
- 数学 数学 是一个数学.
- 决策科学 决策科学
背景情况:
- 数学工具对于管理不确定性和模糊性至关重要.
- 双极复杂模糊集提供了一种同时处理双面和二维信息的方法.
研究的目的:
- 在双极复杂模糊集框架内引入新的聚合运算符.
- 开发一种多属性决策技术,使用这些运算符来解决复杂的不确定性.
主要方法:
- 提供双极复杂模糊分区的麦克劳林对称平均值和双极复杂模糊分区的双麦克劳林对称平均值运算符.
- 介绍这些运算符及其相关公理的加权版本.
- 开发基于拟议的运营商的多属性决策方法.
主要成果:
- 该研究成功地定义和制定了双极复杂模糊集合的新聚合运算符.
- 建立了一个实际的决策技术,证明了运营商的实用性.
- 建议的运营商通过一个例子和与现有方法的比较来验证.
结论:
- 新开发的聚合运营商有效地管理决策中的复杂不确定性.
- 拟议的技术为双极复杂模糊环境中的多属性决策提供了可靠和实用的方法.
- 这项研究为处理复杂数据中的模糊性提供了新的数学工具.
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