基于正弦三角学球形模糊聚合的多属性组决策操作员
Muhammad Qiyas1, Saleem Abdullah1, Saifullah Khan1
1Department of Mathematics, Abdul Wali Khan University, Mardan, Pakistan.
概括
这项研究为球形模糊集 (SFS) 引入了新的正弦三角法则,以处理决策中的不确定性. 新的聚合运营商和多属性组决策 (MAGDM) 策略被开发并应用于COVID-19实验室选择.
科学领域:
- 模糊的集合理论 模糊的集合理论
- 决策科学 决策科学
- 计算智能是一种计算智能.
背景情况:
- 与传统的模糊集相比,球形模糊集 (SFS) 提供了增强的不确定性处理.
- 现有的模糊集结构在解决复杂的决策问题时存在局限性.
- 三角函数,像正弦函数一样,具有固有的周期性和对称性属性,有利于专家驱动的多参数分析.
研究的目的:
- 为球形模糊集合引入可靠的正弦三角法则.
- 为球形模糊数开发新的平均和几何聚合运算符.
- 通过使用这些新运营商,提出一个多属性集团决策 (MAGDM) 战略.
主要方法:
- 为SFSs开发正弦三角法则.
- 为球形模糊数构建新的平均和几何聚合运算符.
- 基于已开发的运营商,制定一个MAGDM战略.
主要成果:
- 成功定义了SFSs的正弦三角法则.
- 引入有效的平均和几何聚合运算符.
- 展示一个可行的MAGDM战略与实际应用.
结论:
- 拟议的正弦三角法和聚合运算符增强了SFS在决策方面的能力.
- 开发的MAGDM战略为复杂的集团决策提供了一个强大的框架.
- 对于COVID-19实验室选择的应用验证了该方法的实际实用性和有效性.
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