构建和应用基于模糊综合性评估的种植者适用性评估系统
1College of Mechanical Engineering, Nanjing Vocational University of Industry Technology, Nanjing, China.
PloS one
|July 10, 2023
概括
开发了一个新的种植者评估系统,使用技术,经济和工作条件指标. 该系统改进了最初的设计,提高了其性能得分,并提供了一种科学方法来选择和增强种植者.
科学领域:
- 农业工程 农业工程
- 农业机械评价 农业机械评价
背景情况:
- 大种植者的采用受到缺乏全面的适用性评估标准的限制.
- 低效的设计和不利的成本效益比率阻碍了广泛使用.
研究的目的:
- 为种植者建立一个强大的适用性评估系统.
- 解决评估功能,结构和经济可行性的差距.
主要方法:
- 提出了一个三级指数系统 (技术,经济,工作条件指标).
- 采用了模糊的综合评估,分析层次流程和有效性测试.
- 专家咨询和评分用于分析第一代大种植者.
主要成果:
- 最初的大种植者得分为74.47,处于较低的"好"范围.
- 基于优化指南的升级机器获得了77.52分,提高了4.1%.
- 改进的重点是运营安全,可调节性,易用性和降低成本.
结论:
- 开发的评估系统提供了公正的结论和科学方法,以促进和改进大种植者.
- 该系统有利于种植者设计,购买决策和应用.
- 为了更广泛的可用性,建议进一步完善指标和评估方法.
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