Nowadays, with the improvement in people’s quality of life, more and more people choose to travel abroad in leisure time. Therefore, the great difference in lifestyles could cause culture shock, which make tourists’ trip a relative awful experience, especially in the popular resorts of some countries such as Europe and America, where tips are given whenever there is a service being provided, and this behaviour confused lots of tourists from Asia, Africa or even European countries. Based on decision tree, this study aimed to share troubles of those tourists with needs by taking the New York City Taxi and Limousine Commission’s database as research’s target, thereby analysing factors that may cause variation in tipping rates. Finally, it is found that distance and duration contributed most to trip fare. Also, besides accurately predicting the tip amount, how each factor contributes to the trip needs to be known; thus, linear regression is used to check the validity of the result, and a 14.1% rate of all distance as a fee is achieved. This study provides a model – which can also be used in many different places – that tremendously improve people’s quality of life, and the main idea is relative to the fuzzy system in solving social problems.

如今，随着人们生活质量的提高，越来越多的人选择在休闲时间出国旅行。因此，生活方式的巨大差异可能会导致文化震撼，这使游客的旅行成为一种相对糟糕的体验，尤其是在欧美等一些国家的热门度假胜地中，那里每当提供服务时都会给出提示，这种行为使许多来自亚洲，非洲甚至欧洲国家的游客感到困惑。本研究基于决策树，旨在以纽约市出租车和豪华轿车委员会的数据库为研究目标，以共享那些有需求的游客的麻烦，从而分析可能导致小费率变化的因素。最后，发现距离和持续时间对旅行票价的影响最大。也，除了准确预测小费金额外，还需要了解每个因素如何影响行程。因此，使用线性回归来检查结果的有效性，并实现了全程收费的14.1％比率。这项研究提供了一个模型-也可以在许多地方使用-可以极大地改善人们的生活质量，其主要思想与解决社会问题的模糊系统有关。