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基于模糊图形的机器学习优化,用于Thoothukudi智能城市的通透路面系统

Angel Benjamin1, Angel Dharmakkan2

  • 1Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, 600119, India. angelbkezia@gmail.com.

Scientific reports
|October 8, 2025
PubMed
概括

这项研究优化了使用双极直觉模糊图 (BIFG) 和机器学习的雨水管理. 在BIFG-MLO模型中,优先考虑在易受洪水影响的智慧城市安装透式路面,从而提高城市的抵御力.

关键词:
双极直觉主义的模糊图形.机器学习优化优化透的路面是可以通透的.智慧城市是智慧城市.雨水管理 雨水管理预测淹水的预测

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