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English(EN) An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul

新AI行程规划器利用Z数减少旅行碳排放和时间

研究人员开发了一款生态旅游行程规划器,该规划器利用Z数来处理旅行时间和评分中的不确定性。该规划器使用模糊约束和证据可靠性来表示数量,直接纳入来自路由服务和平台评论数的观察结果。混合损失函数和自适应搜索算法可优化行程,以减少碳足迹和旅行时间,结果显示在几个测试城市中都有显著改进。 AI

影响 这项研究展示了AI在优化旅行行程方面的新颖应用,可能影响未来的旅行规划工具。

排序理由 该集群包含一篇详细介绍新颖AI应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新AI行程规划器利用Z数减少旅行碳排放和时间

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该集群包含一篇详细介绍新颖AI应用的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Aziz Nuriyev, Sherzod Turaev, Saja Al-Dabet, Mary John, Kanan Qasimzade, Alihuseyn Orujzada, Alihuseyn Orujzada, Aisha Al Ali ·

    An Eco-Friendly Tourism Trip Planner Driven by Z-Number Uncertainty: Evidence from Baku, Dubai, Abu Dhabi, Tashkent, and Istanbul

    arXiv:2610.29120v1 Announce Type: cross Abstract: Deployed tourism trip planners ingest travel times and ratings as exact numbers, although routing services return travel times that vary with the hour of departure and a platform rating may rest on a handful of reviews or on tens …