一种新的决策方法,在米质管理中使用间隔值的毕达哥拉斯模糊的瑞士和斯克拉尔电力聚合运营商进行决策
Ying Wang1,2, Usman Khalid3, Jawad Ali4
1Software Engineering Institute of Guangzhou, Guangzhou, China.
PloS one
|October 24, 2024
概括
本研究引入了区间值的毕达哥拉模糊集合 (IVPFS) 的新聚合运算符,以处理复杂的决策不确定性. 这种新的方法提高了适应能力,并为农业可持续性提供了潜在的好处.
科学领域:
- 决策分析 决策分析
- 模糊的集合理论 模糊的集合理论
- 农业科学 农业科学
背景情况:
- 间隔值的毕达哥拉斯模糊集 (IVPFS) 提供了一个强大的框架,用于管理决策中的复杂不确定性.
- 现有的聚合运营商在多属性决策 (MADM) 问题上可能缺乏适应能力.
研究的目的:
- 在IVPF框架内使用瑞士-斯克拉尔 (SS) 操作引入新的聚合运营商.
- 提高MADM问题的信息聚合方法的适应性.
- 探索这些运营商在提高农业可持续性方面的应用.
主要方法:
- 开发间隔值的毕达哥拉斯模糊SS功率加权平均和几何运算符.
- 在IVPF框架内使用SSt-norms和t-conorms.
- 进行敏感性和比较分析以验证方法.
主要成果:
- 拟议的运营商在MADM的信息聚合方面表现出更高的适应性.
- 与SS操作的IVPFS框架有效处理复杂的不确定性.
- 敏感性和比较分析证实了结果的稳定性和可靠性.
结论:
- 新型聚合运营商在IVPFS框架内为MADM提供了更具适应性的方法.
- 该方法显示了实际应用的潜力,特别是提高农业可持续性.
- 该研究验证了拟议的决策方法的稳定性和可靠性.
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