为乳牛福利提供基于模糊逻辑的决策支持,整合不同的基准
Sándor Gáspár1, László Pataki2,3, Ákos Barta4
1Department of Investment, Finance and Accounting, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, H-2100 Gödöllő, Hungary.
Animals : an open access journal from MDPI
|September 27, 2025
概括
本研究引入了一个模糊逻辑决策支持系统,以客观地衡量可持续农业中的动物福利. 该系统整合了多个基准,通过减少评估主观性来改善农场管理决策.
科学领域:
- 可持续农业 可持续农业
- 动物福利科学动物福利科学
- 决策支持系统 决策支持系统
背景情况:
- 提高动物福利对于可持续农业至关重要.
- 目前的动物福利评估方法缺乏客观标准,导致复杂和不清楚的管理决策.
- 现有的系统对农场管理的决策提供了不足的支持.
研究的目的:
- 开发基于模糊逻辑的决策支持系统 (DSS),以解决动物福利评估中的主观性问题.
- 提高农场管理关于动物福利干预措施的决策清晰度.
- 整合多个标准的基准,以进行更强大的福利评估.
主要方法:
- 开发基于模糊逻辑的DSS,包含三角成员功能.
- 整合各种基准:历史数据,最佳价值和竞争对手数据.
- 在三个欧洲奶牛场 (奥地利,匈牙利,斯洛伐克) 应用福利质量评估系统.
- 创建一个综合评估模型,使用Choquet积分组合单个模型的结果.
主要成果:
- 模糊逻辑模型在不同的农场中产生了不同的评估结果.
- 使用Choquet积分的综合模型提供了更准确和与决策者一致的评估.
- 基准的整合大大支持了决策过程.
结论:
- 模糊的逻辑和多标准基准对于强大的动物福利评估系统至关重要.
- 开发的DSS有效地处理主观性,并改善农场管理中的决策.
- 需要进一步标准化,以减少测量动物福利水平的不确定性.
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