校園是學生活動的主要場所,除去學校提供的宿舍之外,學生們多半選擇在學校附近租屋,由於生活形態之特性有別於一般使用者對租屋條件的要求,學生選擇租屋地點時可能會更加依賴生活機能、區位交通以及租屋環境等因素。 本研究可分下列三部分加以說明:一、透過問卷調查方式探討使用者對租賃地點重視之屬性,如區位交通、生活機能、以及租屋環境等,以作為後續推薦租屋資訊之依據。二、根據問卷結果計算權重並搭配模糊理論等方法計算出租房屋個案之各項屬性得分以決定推薦順序。本研究提供二種權重計算之方法,分別是採計八種屬性由使用者排序之方法以及採計三類屬性由使用者給予比例之方法。三、是將得分順序結合電子地圖推薦給使用者,系統亦可依據使用者設定之條件找出符合使用者需求之租賃地點。在驗證的部分,我們收集了81個學校附近提供給學生的出租房屋個案進行實驗;實驗結果顯示,採計三類屬性給予比例之推薦機制可達百分之八十七之準確率,而採計八種屬性給予重要性順序之推薦機制可達百分之百之準確率。
Campus is the location that most student activities take place. Students do not live in dormitory rent rooms near their campus. Since their specific lifestyle, the requirement about rental object of students might be different from those of the ordinary renters. Students may be more dependent on the factors about vital function、region transportation , and rental environment. This study can be illustrated as the following three portions. Firstly,we try to explore the factors that students make most of via the survey analysis like vital function,region transportation,and rental environment for the recommendation processes followed up. Secondly, we use the result of survey analysis to determine the weight for each attribute and apply fuzzy theory to calculate the scores of each rental case. To determine the weight for each attribute,we propose two modes in this study. The first one is adopting 8 attributes and asking user to give the ranking of them, and the second one is using 3 categories of attributes and asking user to give the specific weight for them. Finally, we recommend the rental cases along with the interface adopting the Google Map according to the scores determined in the previous step. Users can also look for the rental cases by providing certain criteria. We collect 81 rental cases near Chang Jung University for verification experiments. The experimental results show that using 3 categories of attributes 87% of precision can be achieved,while using 8 attributes 100% of precision can be achieved.
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