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使用双极模糊聚合运营商选择无人机软件的创新决策方法

Hanan Alolaiyan¹, Sajida Abbas², Abdul Razaq²

¹Department of Mathematics, King Saud University, Riyadh, Saudi Arabia.

Scientific reports

|April 22, 2025

概括

无人驾驶飞行器 (UAV) 技术提供了高分辨率的遥感,特别是在阴天地区. 这项研究引入了新的双极模糊集方法,以选择最佳的无人机数据处理软件.

科学领域:

遥感遥感遥感遥感
决策科学决策科学决策科学
人工智能的人工智能

背景情况:

无人驾驶飞行器 (UAV) 技术正在改变遥感,为卫星提供高分辨率成像替代品,特别是在具有挑战性的环境中,如东北地区.
像东北地区这样的地区持续的云层需要可靠的遥感解决方案,使无人机成为可行的选择.
东北空间应用中心 (NESAC) 需要先进的数据处理和分析软件来处理无人机捕获的图像和视频.

研究的目的:

开发和应用新的决策方法来选择最佳的无人机应用数据处理和分析软件.
在双极模糊集框架内引入新的运算符,以处理复杂决策过程中的不确定性.
为应对多属性决策 (MADM) 挑战,确定最适合无人机数据的软件.

主要方法:

在双极模糊语境中定义和描述有序加权平均,有序加权几何,动态有序加权平均和动态有序加权几何运算符.
开发一种系统的方法来解决MADM问题,使用拟议的双极模糊运算符.
实施这些新的方法来解决选择无人机数据处理软件的特定MADM问题.

主要成果:

该研究成功地定义和描述了新的双极模糊运算符,增强了决策中的不确定性表示.
展示了一种系统的MADM方法,有效地将新型运算符应用于现实世界的问题.
提出的方法进行了实施和比较分析,显示了它们的可行性和适用于选择无人机数据处理软件的适用性.

结论:

新型双极模糊运算符和系统的MADM方法为涉及不确定性的复杂决策问题提供了强大的框架.
这些方法在确定最佳解决方案方面是有效的,特别是在为无人机选择数据处理软件方面得到了证明.
这些发现突出了先进的模糊集合论在优化远程传感应用技术采用的潜力.

关键词:

双极模糊聚合运营商是双极模糊聚合运营商.双极模糊集是一个双极模糊集.决策决策是做出决定的.无人驾驶飞行器是一种无人驾驶飞行器.

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