Earticle

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

Abstract
 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

키워드

저자

• Jingfei Ren [ Management Faculty of Chengdu University of Information Technology, China, Business school of Sichuan University, China ]
• Yonghuan He [ Business school of Sichuan University, China ]
• Mingming Hu [ Business school of Sichuan University, China ]
• Maozhu Jin [ Business school of Sichuan University, China ] Corresponding author
• Huafeng Gao [ Business school of Sichuan University, China, Hubei University for Nationalities, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605