相关实验视频
Updated: Sep 10, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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为可持续能源规划提供强有力的分量模糊决策支持框架
Umme Habiba1, Rongwu Zhang2, Muhammad Amad Sarwar3
1School of Management, Guangzhou University, Guangzhou, 510006, Guangdong, China.
Scientific reports
|August 26, 2025
概括
本研究提出了一种使用分数模糊集和多标准决策来选择最佳可再生能源系统 (RES) 的新方法. 地热能源被认为是工业4.0最可靠的选择.
科学领域:
- 能源政策与环境科学
- 决策科学与运营研究
背景情况:
- 全球能源需求的增加和环境问题迫使人们从化石燃料转向可再生能源系统.
- 由于复杂的标准,为特定地区选择最佳的可再生能源,尤其是在工业4.0中面临重大决策挑战.
研究的目的:
- 建立一个强大的多标准决策框架,用于评估和选择可再生能源系统.
- 整合f,g,h-分数模糊集 (f,g,h-FrFS) 以提高在可再生能源选择中的偏好表示.
主要方法:
- 使用经过改进的通过标准相关性 (CRITIC) 方法来确定标准权重.
- 采用了WASPAS模型,包括f,g,h-FrFS,以对可再生能源系统进行排名.
- 进行了敏感性和比较分析,以验证拟议方法的稳定性和有效性.
主要成果:
- 根据开发的评估框架,地热能源被确定为最可靠的可再生能源系统选择.
- f,g,h-FrFS方法有效地捕捉了决策者的偏好,包括会员资格,非会员资格和不确定性程度.
- 拟议的MCDM方法在各种条件和比较分析中显示出稳定性和有效性.
结论:
- 开发的f,g,h-FrFS集成MCDM方法为复杂的可再生能源系统选择提供了有价值的工具,特别是在工业4.0中.
- 这种方法有助于政策制定者和能源管理者掌握复杂的能源规划和开发决策.
- 该研究强调地热能是可靠的可再生能源选择,支持可持续能源转型.
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