원문정보
초록
영어
In recent years, the world tourism is developing rapidly. The world tourism firstly hit 1 billion in 2012. Along with the tourism booming, complaint cases are growing and tourists' satisfaction degree is dropping. In this case, to ensure the interests of tourists and keep sustainable development of tourism, the tourists' satisfaction should be evaluated and the Scenic should be improved based on the evaluation result. In this paper, a new tourist satisfaction evaluation method is proposed based on fuzzy clustering. Firstly, the large scale evaluation data is divided to parts by the fuzzy clustering method. Then, each center of the parts is chosen to evaluate the tourist satisfaction. The new evaluation method is different from the traditional methods. It can effectively cut the evaluation scale. Finally, the tourist satisfaction of Three Gorges Scenic is studied to interpret the new evaluation method.
목차
1. Introduction
2. A New Evaluation Method based on the Fuzzy C Mean Algorithm
2.1. Cluster the Evaluation Information by Fuzzy C Mean Algorithm
2.2. Generate the Groups' Weight and Attributes' Weight
2.3. Aggregate the Evaluation Information
2.4. The Evaluation Process
3. A Tourist Satisfaction Empirical Research
4. Conclusions
Acknowledgements
References