一个复杂的循环直觉模糊的决策框架,用于在不确定性下评估可持续农业战略
1Institute of Agricultural Economics and Information, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, China. fionayu6@163.com.
Scientific reports
|December 3, 2025
概括
本研究引入了针对复杂农业挑战的新决策模型,使用复杂的循环直觉模糊集 (CCIRIFS) 来有效处理不确定性和周期性模式. 温室农业成为最佳的可持续战略.
科学领域:
- 农业科学 农业科学
- 决策科学 决策科学 决策科学
- 模糊的集合理论 模糊的集合理论
背景情况:
- 农业生产率面临着复杂的经济,环境和社会挑战.
- 现有的决策方法与不确定性,周期性模式和相互矛盾的标准作斗争.
- 需要一个强大的方法来解决农业规划中的这些多方面的问题.
研究的目的:
- 为农业系统开发一种新的多标准决策 (MCDM) 模型.
- 将复杂的循环直觉模糊集 (CCIRIFS) 与复杂数集集成,以处理周期性和不确定性.
- 为改进数据处理引入新的聚合运营商.
主要方法:
- 使用CCIRIFSs.开发一个新的MCDM模型.
- 介绍了两个新的聚合运算符:复杂的循环直觉模糊的多比加权平均 (CCIRIFDWA) 和几何 (CCIRIFDWG).
- 该模型应用于关于可持续农业评估的案例研究.
主要成果:
- 拟议的CCIRIFS模型有效地解决了方向周期性和二维不确定性.
- CCIRIFDWA和CCIRIFDWG运营商在不准确的数据上表现出数学严谨性和灵活性.
- 控制环境下的温室农业被确定为最好的可持续战略,获得高分 (CCIRIFDWA 0.874,CCIRIFDWG 0.861).
结论:
- 开发的框架为周期性,不确定的农业系统的决策提供了一个数学上完整和特定于环境的方法.
- 该模型被证明是有效和有用的,用于评估农业中的各种可持续性方法.
- 这些发现突显了先进的模糊集合理论在优化农业实践和规划方面的潜力.
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