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.