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    政大機構典藏 > 理學院 > 應用數學系 > 學位論文 >  Item 140.119/159316


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/159316


    Title: 房地產價格結合人工智慧
    Artificial Intelligence in Real Estate
    Authors: 張耀之
    Chang, Yao-Chih
    Contributors: 蔡炎龍
    Tsai, Yen-Lung
    張耀之
    Chang, Yao-Chih
    Keywords: 房地產價格
    real estate prices
    Date: 2025
    Issue Date: 2025-09-01 16:29:49 (UTC+8)
    Abstract: 消費者購買房地產一般是透過房仲及代銷業者，提出需求與預算後由業者介紹手頭現有物件做選擇。本篇文章從消費者角度切入，以滿足客戶需求為優先，同時採用實價登錄交易數據及不斷優化的模型以預估符合市價的房屋價格，如此一來更能夠讓消費者買到心中理想的房地產。
    Consumers typically purchase real estate through real estate agents . After stating their demands and budget , these agents introduce available properties for consumers to choose from . This paper takes the consumer’s perspective , prioritizing their needs while leveraging transaction data from actual price registration and continuously optimized model to forecast property prices aligned with housing market . Therefore , consumers can purchase ideal real estate more effectively .
    Reference: [1] 內政部不動產交易時價查詢服務網. 不動產成交案件實際資訊資料供應.
    [2] 吳柏林. 模糊統計導論方法與應用. 五南出版社, 2005.
    [3] 吳柏林. 模糊統計導論: 方法與應用 (二版). 五南出版社, 2015.
    [4] 政府資料開放平台. 臺北市土地公告現值及公告地價, 2025.
    [5] 臺北地政雲. 不動產價格.
    [6] 葉育彰. 公告地價及公告現值二元化必要性之研析. In 立法院法制局第 10 屆議題研析, 2023.
    [7] 陳振惟. 公告現值公平性之研究-以松山區及信義區為例, 2017.
    [8] 陳耀東. 推動房屋交易以「實坪計價」之問題淺析, 2019.
    Description: 碩士
    國立政治大學
    應用數學系
    110751012
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110751012
    Data Type: thesis
    Appears in Collections:[應用數學系] 學位論文

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